CN112290908B - Filter matrix processing method and device, storage medium and electronic equipment - Google Patents
Filter matrix processing method and device, storage medium and electronic equipment Download PDFInfo
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Abstract
The application provides a processing method and device of a filter matrix, a storage medium and electronic equipment, wherein the processing method comprises the following steps: acquiring a filter matrix to be processed; simplifying the filter matrix to be processed by using a preset simplifying mode to obtain a simplified matrix of the filter matrix to be processed; wherein the preset simplified mode comprises one or more of perforation and dimension reduction. In this way, the simplifying matrix is obtained through the simplifying processing of the filter matrix to be processed, so that the scale of the filter matrix is reduced, the calculated amount of the filter matrix is reduced, the operation complexity of the filter matrix is reduced, and the operation efficiency of the filter matrix is improved.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a method and an apparatus for processing a filter matrix, a storage medium, and an electronic device.
Background
In order to solve the problem of the communication capacity of a single-mode fiber, a multi-core few-mode technology combining multi-core multiplexing and few-mode multiplexing is often adopted to realize the processing of channel information, but in the processing mode, the modes are extremely easy to be influenced by external disturbance or factors such as out-of-roundness of fiber cores to be coupled, so that aliasing occurs between signals which are originally independent, and the transmission capacity is extremely limited.
In order to solve the problem of signal aliasing between modes, a Multiple-Input Multiple-Output (MIMO) system is generally adopted for processing, and in general, in the MIMO system, N paths of signals in each mode in each fiber core are respectively used as independent inputs for filter processing, and a filter matrix with a size of n×n is constructed to separate aliasing between the signals, however, when the number of fiber cores and the number of modes are increased, the size of the filter matrix generated by the MIMO system increases exponentially, a large amount of operation resources are required to be consumed, the calculation amount is large, and the operation efficiency for the filter matrix is low.
Disclosure of Invention
In view of this, an object of the present application is to provide a method, an apparatus, a storage medium, and an electronic device for processing a filter matrix, by which a simplified matrix is obtained by simplifying a filter matrix to be processed, so as to reduce the size of the filter matrix, reduce the calculation amount of the filter matrix, and help to reduce the operation complexity of the filter matrix and improve the operation efficiency of the filter matrix.
The embodiment of the application provides a processing method of a filter matrix, which comprises the following steps:
acquiring a filter matrix to be processed;
simplifying the filter matrix to be processed by using a preset simplifying mode to obtain a simplified matrix of the filter matrix to be processed;
wherein the preset simplified mode comprises at least one of punching and dimension reduction.
In one possible embodiment, the puncturing includes at least one of puncturing and puncturing.
In one possible implementation, when the reduced pattern includes a puncture in a puncture, the reduced matrix is determined by:
determining at least one target breakdown filter from the filter matrix to be processed based on a preset breakdown filtering rule;
and deleting the at least one target breakdown filter from the filter matrix to be processed when the current processing process is a primary processing process of the filter matrix to be processed, and generating a simplified matrix of primary processing.
In a possible implementation manner, after determining at least one target breakdown filter from the filter matrix to be processed based on the preset breakdown filtering rule, the processing method further includes:
determining at least one target puncture filter deleted from the filter matrix to be processed in the one-stage processing when the current processing process is a multi-stage processing process other than the one-stage processing of the filter matrix to be processed;
and restoring each target breakdown filter to the filter matrix to be processed according to the corresponding position before being deleted, and generating a simplified matrix corresponding to the multistage processing process except the one-stage processing process.
In one possible implementation, when the reduced pattern includes puncturing in puncturing, the reduced matrix is determined by:
determining at least one target puncturing filter from the filter matrix to be processed based on a preset puncturing filtering rule;
and deleting the at least one target puncturing filter from the filter matrix to be processed in the subsequent processing process to generate a simplified matrix.
In one possible implementation, when the reduced mode includes a dimension reduction process, determining the reduced matrix includes:
based on the attribute information of each filter included in the filter matrix to be processed, determining a plurality of sub-processing filter matrixes by integrating a plurality of filters with the same attribute information;
and determining each determined sub-processing filter matrix as a simplified matrix.
In one possible implementation manner, after the simplifying the filter matrix to be processed by using a preset simplifying manner to obtain a simplified matrix of the filter matrix to be processed, the processing method further includes:
and processing the channel information to be processed based on the simplified matrix.
The embodiment of the application also provides a processing device for the filter matrix, which comprises:
the matrix acquisition module is used for acquiring a filter matrix to be processed;
the matrix simplifying module is used for simplifying the filter matrix to be processed by using a preset simplifying mode so as to obtain a simplified matrix of the filter matrix to be processed;
wherein the preset simplified mode comprises at least one of punching and dimension reduction.
In one possible embodiment, the puncturing includes at least one of puncturing and puncturing.
In one possible implementation, when the reduced pattern includes a puncture in a puncture, the matrix reduction module is configured to determine the reduced matrix by:
determining at least one target breakdown filter from the filter matrix to be processed based on a preset breakdown filtering rule;
and deleting the at least one target breakdown filter from the filter matrix to be processed when the current processing process is a primary processing process of the filter matrix to be processed, and generating a simplified matrix of primary processing.
In a possible implementation manner, the processing device further comprises a matrix determining module, wherein the matrix determining module is used for:
determining at least one target puncture filter deleted from the filter matrix to be processed in the one-stage processing when the current processing process is a multi-stage processing process other than the one-stage processing of the filter matrix to be processed;
and restoring each target breakdown filter to the filter matrix to be processed according to the corresponding position before being deleted, and generating a simplified matrix corresponding to the multistage processing process except the one-stage processing process.
In a possible implementation, when the reduced pattern includes puncturing in puncturing, the matrix reduction module is configured to determine the reduced matrix by:
determining at least one target puncturing filter from the filter matrix to be processed based on a preset puncturing filtering rule;
and deleting the at least one target puncturing filter from the filter matrix to be processed in the subsequent processing process to generate a simplified matrix.
In one possible implementation, when the reduced mode includes a dimension reduction process, the matrix reduction module is configured to determine the reduced matrix by:
based on the attribute information of each filter included in the filter matrix to be processed, determining a plurality of sub-processing filter matrixes by integrating a plurality of filters with the same attribute information;
and determining each determined sub-processing filter matrix as a simplified matrix.
In a possible embodiment, the processing device further comprises a signal processing module, the signal processing module being configured to:
and processing the channel information to be processed based on the simplified matrix.
The embodiment of the application also provides electronic equipment, which comprises: a processor, a memory and a bus, said memory storing machine readable instructions executable by said processor, said processor and said memory communicating via the bus when the electronic device is running, said machine readable instructions when executed by said processor performing the steps of the method of processing a filter matrix as described above.
Embodiments of the present application also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of a method of processing a filter matrix as described above.
The method, the device, the storage medium and the electronic equipment for processing the filter matrix acquire the filter matrix to be processed; and simplifying the filter matrix to be processed by using a preset simplifying mode to obtain a simplified matrix of the filter matrix to be processed.
In this way, for the obtained filter matrix to be processed with larger scale, the filter matrix to be processed is simplified in a simplified mode of punching and/or dimension reduction, so that the simplified matrix is obtained, the operation complexity of the filter matrix is further reduced, and the operation efficiency of the filter matrix is improved.
In order to make the above objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered limiting the scope, and that other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for processing a filter matrix according to an embodiment of the present application;
FIG. 2 is a flowchart of a method for processing a filter matrix according to another embodiment of the present disclosure;
FIG. 3 is a schematic diagram of a filter matrix to be processed;
FIG. 4 is a simplified matrix schematic of a primary process;
FIG. 5 is a schematic diagram of a filter matrix multi-stage process;
FIG. 6 is a schematic diagram of a matrix attribute identification of a filter to be processed;
FIG. 7 is a simplified matrix diagram after dimension reduction processing;
fig. 8 is a schematic structural diagram of a processing device of a filter matrix according to an embodiment of the present application;
FIG. 9 is a second schematic diagram of a processing apparatus for a filter matrix according to an embodiment of the present disclosure;
fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. Based on the embodiments of the present application, every other embodiment that a person skilled in the art would obtain without making any inventive effort is within the scope of protection of the present application.
First, application scenarios applicable to the present application will be described. The method can be applied to the technical field of data processing, in order to solve the problem of single-mode optical fiber communication capacity, multi-core few-mode technology combining multi-core multiplexing and few-mode multiplexing is mostly adopted to realize the processing of channel information, but under the processing mode, the modes are extremely easy to be influenced by external disturbance or factors such as fiber core out-of-roundness to be coupled, so that aliasing occurs between originally mutually independent signals, the transmission capacity is greatly limited, the signal mixing of the multi-core few-mode needs to be processed in an effective mode, an MIMO system is generally adopted at the present stage, and various paths of information are separated through filter processing in the MIMO system so as to reduce the problem of crosstalk between various paths of signals.
According to the research, when the number of fiber cores and the number of modes are increased, the scale of a filter matrix generated by the MIMO system is exponentially increased, a large amount of operation resources are required to be consumed, the calculated amount is large, and the operation efficiency aiming at the filter matrix is low.
Based on this, the embodiment of the application provides a processing method of a filter matrix, so as to reduce the scale of the filter matrix, reduce the calculation amount of the filter matrix, reduce the operation complexity of the filter matrix, and improve the operation efficiency of the filter matrix.
Referring to fig. 1, fig. 1 is a flowchart of a method for processing a filter matrix according to an embodiment of the present application. As shown in fig. 1, a method for processing a filter matrix provided in an embodiment of the present application includes:
s101, acquiring a filter matrix to be processed.
In this step, a filter matrix to be processed including a large number of filter matrices is acquired to be processed.
Here, the filter matrix is a generated filter matrix based on a signal processing method of the MIMO system generated in the context of the multi-core few-mode technique, and the number of filters included in the filter matrix is related to the number of received signals.
For example, each mode in each core has N paths of signals as independent inputs, and a filter matrix of size n×n is constructed.
In the optical fiber communication system, the application of the space division multiplexing technology is used for overcoming the problem of the limitation of the communication capacity of a single-mode optical fiber. The multi-core multiplexing reduces crosstalk damage of high-order mode multiplexing and design difficulty caused by refractive index, the mode multiplexing reduces severe requirements of high-density fiber core multiplexing on fiber design and manufacture, and the multi-core multiplexing has good effect on improving the communication transmission capacity of the optical fiber.
Here, as the number of cores and the number of modes are increased, the scale of the filter matrix is exponentially increased, and when signal processing is performed based on the filter matrix, a large amount of operation resources are required to be consumed, and it is difficult to complete hardware implementation, so that it is necessary to simplify the large-sized filter matrix to be processed.
S102, simplifying the filter matrix to be processed by using a preset simplifying mode to obtain a simplified matrix of the filter matrix to be processed.
In this step, the filter matrix to be processed determined in step S101 is processed by using a pre-designed simplification method, so as to simplify the number of filters participating in the signal processing operation in the filter matrix and reduce the dimension of the filter matrix to be processed, thereby obtaining a simplified matrix of the filter matrix to be processed.
Wherein the preset simplified mode comprises at least one of punching and dimension reduction.
Here, puncturing includes at least one of puncturing and puncturing processing, puncturing means that specific selection is made by using filter conditions, a filter that does not perform operation is selected as a puncturing bit (information equivalent to being deleted), it is not operated in the first-stage operation, and the filter of the puncturing bit is reinserted in place in the subsequent processing to perform operation of the whole data; puncturing means that specific selection is performed by utilizing filter conditions, a selected filter bank is not processed in the first-stage operation, processing is not needed in subsequent processing, and operation processing of a filter matrix after puncturing is only performed; the dimension reduction processing refers to decomposing a large multi-dimensional filter matrix into a low-dimensional small-scale filter matrix according to the types and the severity of crosstalk and damage, wherein each filter information is independent but concentrated, the original large-scale filter matrix is reduced into the low-dimensional small-scale filter matrix with different priorities, and the original concentrated operation is changed into the local operation.
The simplified processing mode of the matrix to be processed can be perforation processing and dimension reduction processing as two independent processing processes, the perforation processing and dimension reduction processing can be combined, the filter matrix to be processed is jointly processed, in the combined processing mode, the sequence of the perforation processing and the dimension reduction processing is not particularly limited, namely the filter matrix to be processed is perforated firstly, then the dimension reduction processing is carried out on the filter matrix to be processed, and the dimension reduction processing is carried out on the filter matrix to be processed firstly, then the perforation processing is carried out on the filter matrix to be processed.
The embodiment of the application provides a filter matrix processing method, which comprises the steps of obtaining a filter matrix to be processed; and simplifying the filter matrix to be processed by using a preset simplifying mode to obtain a simplified matrix of the filter matrix to be processed.
In this way, for the obtained filter matrix to be processed with larger scale, the filter matrix to be processed is simplified in a simplified mode of punching and/or dimension reduction, so that the simplified matrix is obtained, the operation complexity of the filter matrix is further reduced, and the operation efficiency of the filter matrix is improved.
Referring to fig. 2, fig. 2 is a flowchart of a method for processing a filter matrix according to another embodiment of the present application. As shown in fig. 2, a method for processing a filter matrix provided in an embodiment of the present application includes:
s201, acquiring a filter matrix to be processed.
S202, simplifying the filter matrix to be processed by using a preset simplifying mode to obtain a simplified matrix of the filter matrix to be processed.
S203, processing the channel information to be processed based on the simplified matrix.
In this step, the processing procedure from step S201 to step S202 is performed to obtain a simplified matrix for processing the channel information to be processed based on the simplified matrix, and the signal information is processed by using the obtained simplified matrix.
Here, the channel is generally continuously changed with time, and is uncertain, and because the time variability of the channel needs to be real-time to send a training sequence to track the real-time change characteristic of the channel, the filter matrix is processed in the method, the operand of the filter matrix is reduced on the premise that the channel information is not affected, and the efficiency of channel information processing is improved.
The descriptions of S201 to S202 may refer to the descriptions of S101 to S102, and the same technical effects can be achieved, which will not be described in detail.
Further, when the reduced pattern includes a puncture in a puncture, the reduced matrix is determined by: determining at least one target breakdown filter from the filter matrix to be processed based on a preset breakdown filtering rule; and deleting the at least one target breakdown filter from the filter matrix to be processed when the current processing process is a primary processing process of the filter matrix to be processed, and generating a simplified matrix of primary processing.
In the step, at least one target breakdown filter to be deleted is determined from a filter matrix to be processed according to a preset breakdown filtering rule, whether the current processing process is a primary processing process aiming at the filter matrix to be processed is judged, and when the current processing process is determined to be the primary processing process aiming at the filter matrix to be processed, at least one target breakdown filter is deleted from the filter matrix to be processed, so that a simplified matrix of primary processing is obtained.
Here, the setting of the preset breakdown filtering rule is related to the characteristics of the optical fiber that transmits the signal to be processed by the filter to be processed.
For example, a filter matrix with adjacent cores but less cross-talk than inter-mode interference is selected as the target breakdown filter matrix.
Here, the determined at least one target breakdown filter may be a certain row in the filter matrix to be processed, or may be a certain column in the filter matrix to be processed, which is not particularly limited herein.
Here, the processing for the filter matrix is divided into multi-stage processing, wherein the multi-stage processing is processing for signals. For the processing of the filter matrix, multiple coupling exists in multiple core few modes of the optical fiber of the input signal, the filter matrix can select to process the N-path mode signals in the core first, then process each mode among different cores, then the processing of the N-path mode signals in the core first is the first-stage processing, and then process each mode among different cores is the subsequent processing.
Here, the process of deleting at least one target breakdown filter from the filter matrix to be processed is essentially that the information in the at least one target breakdown filter that is screened out does not participate in the operation when the first-stage processing is performed, and the at least one target breakdown filter is "deleted" from the calculation processing level.
Further, after determining at least one target breakdown filter from the filter matrix to be processed based on the preset breakdown filtering rule, the processing method further includes: determining at least one target puncture filter deleted from the filter matrix to be processed in the one-stage processing when the current processing process is a multi-stage processing process other than the one-stage processing of the filter matrix to be processed;
and restoring each target breakdown filter to the filter matrix to be processed according to the corresponding position before being deleted, and generating a simplified matrix corresponding to the multistage processing process except the one-stage processing process.
In the step, at least one target breakdown filter is deleted in the first processing in the subsequent processing process after the first processing, and the at least one target breakdown filter is restored to the position before the first processing in accordance with the corresponding position in the filter matrix to be processed in which the simplification processing is not performed, thereby generating a simplification matrix corresponding to a plurality of processing processes other than the first processing process.
Here, in the simplified processing of the filter matrix to be processed, the breakdown processing is not an irreversible process for the breakdown processing, but rather, each breakdown filter included in the target breakdown filter matrix is to participate in calculation in other operations than the first-order operation.
Here, for the restoration of each target puncture filter in the other processing than the first-order processing, the restoration is as it is, that is, for each target puncture filter, the position of the target puncture filter in the non-simplified filter to be processed is relatively uniform with respect to the simplified matrix corresponding to the plurality of processing, which is exhibited in such a manner that a plurality of filter matrices adjacent to the target puncture filter are uniform.
For example, for the first stage processing, the target puncture filter matrix is located in the second column of the filter matrix to be processed, and then for the recovery of the target puncture filter matrix in the subsequent processing, the target puncture filter matrix is also recovered in the second column of the simplified matrix of the first stage processing.
Further, when the simplified mode includes puncturing in puncturing, determining the simplified matrix by the following steps, and determining at least one target puncturing filter from the filter matrix to be processed based on a preset puncturing filtering rule; and deleting the at least one target puncturing filter from the filter matrix to be processed in the subsequent processing process to generate a simplified matrix.
In the step, when the simplified mode comprises puncturing in puncturing, at least one target puncturing filter to be deleted is determined from a filter matrix to be processed according to a preset puncturing filtering rule, and in the subsequent matrix processing process, the deleted target puncturing filter is not considered any more, and the at least one target puncturing filter is deleted from the filter matrix to be processed, so that a simplified matrix is generated.
Here, the setting of the preset puncturing filtering rule is related to the optical fiber characteristics of the signal to be processed by the filter to be processed.
For example, a filter matrix corresponding to a core physically distant from each other is set as the target puncturing filter matrix.
Here, the determined at least one target puncturing filter may be a certain row in the filter matrix to be processed, or may be a certain column in the filter matrix to be processed, which is not particularly limited herein.
Here, the process of deleting at least one target puncturing filter from the filter matrix to be processed is essentially to "delete" at least one target puncturing filter from the calculation processing level, without involving in the calculation when performing the subsequent processing with respect to the information of the at least one target puncturing filter to be filtered.
Here, the puncturing process for the matrix to be processed is an irreversible process, and after deleting the determined at least one target puncturing matrix from the filter matrix to be processed, the deleted at least one target puncturing matrix is not considered any more in the subsequent process.
Here, when the matrix of the filter to be processed is processed, only the breakdown processing may be performed on the filter to be processed, only the puncturing processing may be performed on the filter to be processed, or both the breakdown processing and the puncturing processing may be performed on the filter to be processed.
Taking the simultaneous puncturing and puncturing of the filter to be processed as an example, please refer to fig. 3 and fig. 4, fig. 3 is a schematic diagram of a filter matrix to be processed, fig. 4 is a simplified schematic diagram of a first-stage processing, as shown in fig. 3, the filter matrix to be processed 30 is a six-row and six-column filter matrix, a target puncturing filter array 301 with adjacent fiber cores but lower crosstalk than inter-mode interference is selected based on a preset screening condition, the target puncturing filter array 301 is located in a second column of the filter matrix to be processed 30, a target puncturing filter array 302 with fiber cores with a relatively far physical distance is selected, the target puncturing filter array 302 is located in a fourth column of the filter matrix to be processed 30, as shown in fig. 4, and the target puncturing filter array are deleted from the filter matrix to be processed when the filter matrix to be processed to obtain the simplified matrix 31 for the first-stage processing.
For the above example, referring to fig. 5, fig. 5 is a schematic diagram of a multi-stage processing of a filter matrix, and when performing multi-stage processing other than the first stage processing, the target puncture filter array is restored to the second instance of the filter matrix to be processed, so as to obtain a simplified matrix 33 of the second stage processing.
Further, when the reduced mode includes a dimension reduction process, determining the reduced matrix includes: based on the attribute information of each filter included in the filter matrix to be processed, determining a plurality of sub-processing filter matrixes by integrating a plurality of filters with the same attribute information; and determining each determined sub-processing filter matrix as a simplified matrix.
In the step, a plurality of filter sets having the same attribute information are determined according to the attribute information of each filter included in the filter matrix to be processed, a plurality of sub-processing filter matrices are determined, and the plurality of sub-filter matrices are determined as a reduced matrix.
Here, the basis for the aggregation of the filter matrices of the same attribute information may be to group together filters having the same power by screening the filter conditions.
The filter condition can be that the filters with the same efficacy are concentrated together according to the types and the severity of crosstalk and damage, and the filter matrix to be processed is decomposed into a plurality of sub-filter matrixes with different priorities, so that each sub-filter matrix is processed in a targeted manner, and the operation amount of the filter matrix is reduced.
Referring to fig. 6 and 7, fig. 6 is a schematic diagram of attribute identification of a matrix of a to-be-processed filter, fig. 7 is a schematic diagram of a simplified matrix after dimension reduction processing, as shown in fig. 6, attribute identification is performed on the filters based on attribute information of different filters in the to-be-processed matrix, different filling patterns represent different matrix attributes, after dimension reduction processing of the to-be-filtered matrix, the filters with the same attribute information are collected together to obtain a simplified matrix after dimension reduction processing, and as can be seen from fig. 6 and 7, the dimension of the simplified matrix after dimension reduction processing is reduced relative to the to-be-processed filter matrix.
Furthermore, in the simplification process of the filter matrix to be processed, two simplification modes of punching and dimension reduction can be combined together to process the filter to be processed, the processing sequence of the two simplification modes is not particularly limited, and the filter matrix to be processed can be firstly subjected to punching processing and then dimension reduction processing, or the filter matrix to be processed can be firstly subjected to dimension reduction processing and then subjected to punching processing.
Taking the example of performing the dimension reduction processing first and then performing the punching processing and performing the puncturing processing and the puncturing processing simultaneously, the processing process of the filter to be processed may be to collect the filters with the same attribute together based on the attribute information corresponding to each filter included in the filter matrix to be processed to form a plurality of sub-filter matrices to be processed, and performing dimension reduction on the filter matrix to be processed based on the plurality of sub-filter matrices to generate a first processing matrix corresponding to the filter matrix to be processed; determining at least one breakdown filter and at least one target puncturing filter from the first processing matrix based on a preset breakdown filtering rule and a preset puncturing filtering rule, deleting the at least one breakdown filter and the at least one target puncturing filter from the first processing matrix when performing primary processing, and generating a simplified matrix of the primary processing; and when the multi-stage processing except the one-stage processing is carried out, restoring each deleted breakdown filter to the first processing matrix in the one-stage processing process, and obtaining a simplified matrix corresponding to the multi-stage processing except the one-stage processing.
The method for processing the filter matrix acquires the filter matrix to be processed; simplifying the filter matrix to be processed by using a preset simplifying mode to obtain a simplified matrix of the filter matrix to be processed; wherein the preset simplified mode comprises at least one of punching and dimension reduction; and processing the channel information to be processed based on the simplified matrix.
In this way, for the obtained filter matrix to be processed with larger scale, the filter matrix to be processed is simplified by means of punching and/or dimension reduction to obtain a simplified matrix, and the simplified matrix is utilized to process the channel information, so that the operation complexity of the filter matrix is reduced, and the operation efficiency of the filter matrix is improved.
Referring to fig. 8 and 9, fig. 8 is a schematic structural diagram of a processing device for a filter matrix according to an embodiment of the present application, and fig. 9 is a schematic structural diagram of a second processing device for a filter matrix according to an embodiment of the present application. As shown in fig. 8, the processing apparatus 800 includes:
a matrix acquisition module 810, configured to acquire a filter matrix to be processed;
a matrix simplifying module 820, configured to perform a simplifying process on the filter matrix to be processed by using a preset simplifying manner, so as to obtain a simplified matrix of the filter matrix to be processed;
wherein the preset simplified mode comprises at least one of punching and dimension reduction.
Further, the puncturing includes at least one of puncturing and puncturing.
Further, as shown in fig. 9, the processing apparatus 800 further includes a matrix determining module 830, where the matrix determining module 830 is configured to:
determining at least one target puncture filter deleted from the filter matrix to be processed in the one-stage processing when the current processing process is a multi-stage processing process other than the one-stage processing of the filter matrix to be processed;
and restoring each target breakdown filter to the filter matrix to be processed according to the corresponding position before being deleted, and generating a simplified matrix corresponding to the multistage processing process except the one-stage processing process.
Further, as shown in fig. 9, the processing apparatus 800 further includes a signal processing module 840, where the signal processing module 840 is configured to:
and processing the channel information to be processed based on the simplified matrix.
Further, when the simplified manner includes puncturing, the matrix simplifying module 820 is configured to determine the simplified matrix by:
determining at least one target breakdown filter from the filter matrix to be processed based on a preset breakdown filtering rule;
and deleting the at least one target breakdown filter from the filter matrix to be processed when the current processing process is a primary processing process of the filter matrix to be processed, and generating a simplified matrix of primary processing.
Further, when the reduced pattern includes puncturing in puncturing, the matrix reduction module 820 is configured to determine the reduced matrix by:
determining at least one target puncturing filter from the filter matrix to be processed based on a preset puncturing filtering rule;
and deleting the at least one target puncturing filter from the filter matrix to be processed in the subsequent processing process to generate a simplified matrix.
Further, when the reduced mode includes a dimension reduction process, the matrix reduction module 820 is configured to determine the reduced matrix by:
based on the attribute information of each filter included in the filter matrix to be processed, determining a plurality of sub-processing filter matrixes by integrating a plurality of filters with the same attribute information;
and determining each determined sub-processing filter matrix as a simplified matrix.
The processing device of the filter matrix obtains the filter matrix to be processed; and simplifying the filter matrix to be processed by using a preset simplifying mode to obtain a simplified matrix of the filter matrix to be processed.
In this way, aiming at the obtained filter matrix to be processed with larger scale, the filter matrix to be processed is simplified in a breakdown deleting and/or dimension reducing simplified mode, so that the simplified matrix is obtained, the operation complexity of the filter matrix is further reduced, and the operation efficiency of the filter matrix is improved.
Referring to fig. 10, fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 10, the electronic device 1000 includes a processor 1010, a memory 1020, and a bus 1030.
The memory 1020 stores machine-readable instructions executable by the processor 1010, when the electronic device 1000 is running, the processor 1010 communicates with the memory 1020 through the bus 1030, and when the machine-readable instructions are executed by the processor 1010, the steps of the method for processing the filter matrix in the method embodiments shown in fig. 1 and fig. 2 can be executed, and detailed implementation can be referred to the method embodiments and will not be repeated herein.
The embodiment of the present application further provides a computer readable storage medium, where a computer program is stored on the computer readable storage medium, where the computer program may execute the steps of the method for processing the filter matrix in the method embodiments shown in fig. 1 and fig. 2 when the computer program is run by a processor, and a specific implementation manner may refer to the method embodiments and is not repeated herein.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Finally, it should be noted that: the foregoing examples are merely specific embodiments of the present application, and are not intended to limit the scope of the present application, but the present application is not limited thereto, and those skilled in the art will appreciate that while the foregoing examples are described in detail, the present application is not limited thereto. Any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or make equivalent substitutions for some of the technical features within the technical scope of the disclosure of the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (9)
1. A method of processing a filter matrix, the method comprising:
acquiring a filter matrix to be processed;
simplifying the filter matrix to be processed by using a preset simplifying mode to obtain a simplified matrix of the filter matrix to be processed;
the simplification processing comprises multistage processing, wherein the multistage processing is the processing of the filter matrix for coupling a plurality of signals in a multi-core few-mode of an optical fiber of an input signal, and the processing is carried out on multi-channel mode signals in cores first and then each mode among different cores; the preset simplified mode comprises punching and dimension reduction;
when the dimension reduction processing is performed, the simplified matrix is determined by the following steps:
determining a plurality of sub-processing filter matrixes with different priorities by screening a plurality of filter sets with the same efficacy based on attribute information of each filter included in the filter matrix to be processed, wherein the filter conditions comprise crosstalk and damage types and severity;
and determining each determined sub-processing filter matrix as a simplified matrix.
2. The method of processing of claim 1, wherein the puncturing comprises at least one of puncturing and puncturing.
3. The processing method according to claim 2, wherein when the reduced pattern includes a puncture in a puncture, the reduced matrix is determined by:
determining at least one target breakdown filter from the filter matrix to be processed based on a preset breakdown filtering rule;
and deleting the at least one target breakdown filter from the filter matrix to be processed when the current processing process is a primary processing process of the filter matrix to be processed, and generating a simplified matrix of primary processing.
4. A processing method according to claim 3, characterized in that after said determining at least one target breakdown filter from said filter matrix to be processed based on a preset breakdown filtering rule, the processing method further comprises:
determining at least one target puncture filter deleted from the filter matrix to be processed in the one-stage processing when the current processing process is a multi-stage processing process other than the one-stage processing of the filter matrix to be processed;
and restoring each target breakdown filter to the filter matrix to be processed according to the corresponding position before being deleted, and generating a simplified matrix corresponding to the multistage processing process except the one-stage processing process.
5. The processing method according to claim 2, wherein when the reduced pattern includes puncturing in puncturing, the reduced matrix is determined by:
determining at least one target puncturing filter from the filter matrix to be processed based on a preset puncturing filtering rule;
and deleting the at least one target puncturing filter from the filter matrix to be processed in the subsequent processing process to generate a simplified matrix.
6. The processing method according to claim 1, wherein after the simplifying the filter matrix to be processed using a preset simplifying method to obtain a simplified matrix of the filter matrix to be processed, the processing method further comprises:
and processing the channel information to be processed based on the simplified matrix.
7. A processing device for a filter matrix, the processing device comprising:
the matrix acquisition module is used for acquiring a filter matrix to be processed;
the matrix simplifying module is used for simplifying the filter matrix to be processed by using a preset simplifying mode so as to obtain a simplified matrix of the filter matrix to be processed;
the simplification processing comprises multistage processing, wherein the multistage processing is the processing of the filter matrix for coupling a plurality of signals in a multi-core few-mode of an optical fiber of an input signal, and the processing is carried out on multi-channel mode signals in cores first and then each mode among different cores; the preset simplified mode comprises punching and dimension reduction;
when the dimension reduction processing is performed, the matrix simplifying module is used for determining the simplified matrix through the following steps:
determining a plurality of sub-processing filter matrixes with different priorities by screening a plurality of filter sets with the same efficacy based on attribute information of each filter included in the filter matrix to be processed, wherein the filter conditions comprise crosstalk and damage types and severity;
and determining each determined sub-processing filter matrix as a simplified matrix.
8. An electronic device, comprising: a processor, a memory and a bus, the memory storing machine readable instructions executable by the processor, the processor and the memory in communication via the bus when the electronic device is running, the machine readable instructions when executed by the processor performing the steps of the method of processing a filter matrix according to any of claims 1 to 6.
9. A computer-readable storage medium, characterized in that it has stored thereon a computer program which, when executed by a processor, performs the steps of the method of processing a filter matrix according to any of claims 1 to 6.
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