CN117076860A - Method, device, equipment and medium for smoothing impulse response signal - Google Patents
Method, device, equipment and medium for smoothing impulse response signal Download PDFInfo
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Abstract
The embodiment of the application provides a method, a device, equipment and a medium for smoothing impulse response signals. The method comprises the following steps: acquiring a time domain impulse response signal to be smoothed; determining a window function time domain signal corresponding to the time domain impulse response signal to be smoothed according to the time domain impulse response signal to be smoothed; multiplying the time domain impulse response signal to be smoothed with the window function time domain signal to obtain a smoothed time domain impulse response signal. The smoothing processing of the method is directly realized in the time domain, the realization process is simple, the calculated amount is low, and the distortion of the time domain signal after the smoothing processing is reduced.
Description
Technical Field
Embodiments of the present application relate to the field of computer technologies, and in particular, to a method, an apparatus, a device, and a medium for smoothing an impulse response signal.
Background
Because the impulse response signal is easy to be influenced by environmental noise, reverberation and the like in the actual environment, the measured impulse response signal frequency spectrum is relatively jittery and complex, and is not beneficial to the subsequent processing such as frequency response calibration and the like.
The impulse response signal is usually smoothed by a frequency domain smoothing method, but the implementation process is complex, the calculation amount is high, and the distortion of the time domain signal is easy to cause.
Disclosure of Invention
In view of this, embodiments of the present application provide a method, apparatus, device, and medium for smoothing an impulse response signal, which have a simple implementation process and a low calculation amount, and reduce distortion of a time domain signal after smoothing.
According to a first aspect of an embodiment of the present application, there is provided a method for smoothing an impulse response signal, including: acquiring a time domain impulse response signal to be smoothed; determining a window function time domain signal corresponding to the time domain impulse response signal to be smoothed according to the time domain impulse response signal to be smoothed; multiplying the time domain impulse response signal to be smoothed with the window function time domain signal to obtain a smoothed time domain impulse response signal.
In another implementation manner of the present application, the determining the window function time domain signal corresponding to the time domain impulse response signal to be smoothed according to the time domain impulse response signal to be smoothed includes: obtaining window function frequency domain signals according to parameters of preset window function frequency domain signals; and obtaining the window function time domain signal corresponding to the time domain impulse response signal to be smoothed according to the time domain impulse response signal to be smoothed and the window function frequency domain signal.
In another implementation manner of the present application, the obtaining the window function frequency domain signal according to the parameter of the preset window function frequency domain signal specifically includes: and obtaining the window function frequency domain signal according to the window function shape parameter and the window function length parameter.
In another implementation manner of the present application, the obtaining the window function time domain signal corresponding to the time domain impulse response signal to be smoothed according to the time domain impulse response signal to be smoothed and the window function frequency domain signal specifically includes: and performing inverse fast Fourier transform on the window function frequency domain signal to obtain the window function time domain signal with the length consistent with that of the time domain impulse response signal to be smoothed.
In another implementation manner of the present application, the multiplying the time domain impulse response signal to be smoothed with the window function time domain signal to obtain a smoothed time domain impulse response signal includes: respectively truncating the time domain impulse response signal to be smoothed and the window function time domain signal to obtain a truncated time domain impulse response signal to be smoothed and a truncated window function time domain signal; multiplying the truncated time domain impulse response signal to be smoothed with the truncated window function time domain signal to obtain a smoothed time domain impulse response signal.
In another implementation of the present application, the method further includes: taking the smoothed time domain impulse response signal as an iterative time domain impulse response signal to be smoothed; determining an iterative window function time domain signal according to the iterative time domain impulse response signal to be smoothed; multiplying the iterative time domain impulse response signal to be smoothed with the iterative window function time domain signal to obtain an iterated time domain impulse response signal after smoothing.
In another implementation manner of the present application, the multiplying the iterative time domain impulse response signal to be smoothed with the iterative window function time domain signal to obtain an iterated time domain impulse response signal after smoothing includes: respectively carrying out truncation processing on the iterative time domain impulse response signal to be smoothed and the iterative window function time domain signal to obtain a truncated iterative time domain impulse response signal to be smoothed and a truncated iterative window function time domain signal; multiplying the time domain impulse response signal to be smoothed of the truncated iteration with the window function time domain signal of the truncated iteration to obtain a time domain impulse response signal after smoothing.
According to a second aspect of an embodiment of the present application, there is provided a smoothing apparatus of an impulse response signal, including: the signal acquisition module is used for acquiring a time domain impulse response signal to be smoothed; the window function determining module is used for determining window function time domain signals corresponding to the time domain impulse response signals to be smoothed according to the time domain impulse response signals to be smoothed; and the signal processing module is used for multiplying the time domain impulse response signal to be smoothed by the window function time domain signal to obtain a smoothed time domain impulse response signal.
According to a third aspect of an embodiment of the present application, there is provided an electronic apparatus including: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface are communicated with each other through the communication bus; the memory is configured to store at least one executable instruction that causes the processor to perform operations corresponding to the method according to the first aspect.
According to a fourth aspect of embodiments of the present application, there is provided a computer storage medium having stored thereon a computer program which, when executed by a processor, implements the method according to the first aspect.
In the scheme of the embodiment of the application, a window function time domain signal is determined according to the time domain impulse response signal to be smoothed, and then the time domain impulse response signal to be smoothed is multiplied with the window function time domain signal to obtain the smoothed time domain impulse response signal. The smoothing processing of the impulse response signal of the embodiment of the application is directly realized in the time domain, distortion and tailing of the time domain signal are not generated, jitter of the frequency domain signal is not caused, and the smoothing operation process of the impulse response signal in the time domain is simple and the calculated amount is low.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the embodiments of the present application, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
Fig. 1 is a flow chart of an impulse response signal smoothing method based on time domain signal truncation according to one embodiment of the present application.
Fig. 2 is an operation diagram of an impulse response signal smoothing method based on time domain signal truncation according to an embodiment of the present application.
Fig. 3 is a flowchart of step 102 of an impulse response signal smoothing method based on time domain signal truncation according to another embodiment of the present application.
Fig. 4 is an operation diagram of an impulse response signal smoothing method based on time domain signal truncation according to another embodiment of the present application.
Fig. 5 is a flowchart of step 103 of an impulse response signal smoothing method based on time domain signal truncation according to another embodiment of the present application.
Fig. 6 is a flow chart of an impulse response signal smoothing method based on time domain signal truncation according to another embodiment of the present application.
Fig. 7 is a flowchart of step 106 of an impulse response signal smoothing method based on time domain signal truncation according to another embodiment of the present application.
Fig. 8 is a schematic block diagram of an impulse response signal smoothing device based on time domain signal truncation according to another embodiment of the present application.
Fig. 9 is a schematic structural view of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions in the embodiments of the present application better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and specifically described below with reference to the accompanying 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. All other embodiments, which are derived by a person skilled in the art based on the embodiments of the present application, shall fall within the scope of protection of the embodiments of the present application.
It should be understood that the terms "first," "second," and "third," etc. in the claims, specification and drawings of the present disclosure are used for distinguishing between different objects and not for describing a particular sequential order. The terms "comprises" and "comprising" when used in the specification and claims of the present disclosure, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the present disclosure is for the purpose of describing particular embodiments only, and is not intended to be limiting of the disclosure. As used in the specification and claims of this disclosure, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should be further understood that the term "and/or" as used in the present disclosure and claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
In order to further explain the technical scheme of the embodiment of the application, technical terms adopted by the implementation of the application are explained as follows: TIR, time impulse response, finite impulse response signal; SIR, smoothed impulse response, smoothed impulse response signal; CS, complex smoothing, complex smoothing; FFT, fast fourier transform, fast fourier transform; IFFT, inverse fast fourier transform, inverse fast fourier transform.
The impulse response signal smoothing is generally realized by mainly performing frequency band division in a complex frequency domain according to octaves by a complex frequency domain octave smoothing method, averaging complex signals of frequency points in each frequency band, and taking the average value of the complex signals as the amplitude and the phase of the central frequency domain of the frequency band. In addition, to obtain the smoothed time domain impulse response signal, interpolation is required to be performed on the designated frequency point of each frequency band, so that frequency domain signal errors are caused, and thus distortion and tailing are caused to the time domain impulse signal finally obtained through IFFT. Although the time domain impulse signal smoothed by the method can ensure that complex signals of the designated frequency points are not offset, abnormal jitter is introduced between the frequency points, which is not beneficial to subsequent processing. In addition, the method has complex calculation process and high calculation amount.
Fig. 1 shows an exemplary flow of a method of smoothing an impulse response signal of an embodiment of the application. The method for smoothing the impulse response signal of the present embodiment includes:
s101: and obtaining the time domain impulse response signal to be smoothed.
S102: and determining a window function time domain signal corresponding to the time domain impulse response signal to be smoothed according to the time domain impulse response signal to be smoothed.
S103: multiplying the time domain impulse response signal to be smoothed by the window function time domain signal to obtain a smoothed time domain impulse response signal.
Specifically, the impulse response signal to be smoothed is an impulse response frequency domain signal to be smoothed in the frequency domain; the impulse response signal to be smoothed is the impulse response time domain signal to be smoothed in the time domain.
With h [ n ]]Representing a time domain impulse response signal to be smoothed, hk]Represents h [ n ]]The frequency domain impulse response signal to be smoothed of the complex frequency domain obtained through FFT (the frequency domain can be a complex frequency domain or other frequency multiplication modes, and the embodiment of the application is described by taking the complex frequency domain as an example for the convenience of descriptionBright), the length of the impulse signal in the time domain (i.e. the number of sampling points of the impulse signal in the time domain) is represented by N, and the number of FFT (i.e. the number of sampling points of the FFT) is represented by N, then the impulse response frequency domain signal H [ k ] is to be smoothed]And impulse response time domain signal h [ n ] to be smoothed]The relationship between them is expressed as follows:wherein N is a natural number of 1 or more.
Therefore, the relation shown in formula one exists between the impulse response time domain signal H [ n ] to be smoothed obtained in step S101 and the impulse response frequency domain signal H [ k ] to be smoothed corresponding to the impulse response time domain signal H [ n ].
In w [ n ]]Representing window function time domain signal, W [ k ]]Window function frequency domain signals representing the complex frequency domain. The window function time domain signal w [ n ] of the embodiment of the application]The design is needed to give. When the window function signal (i.e., window function frequency domain signal, window function time domain signal) is consistent with the length of the impulse response signal to be smoothed (to be smoothed impulse response frequency domain signal, to be smoothed impulse response time domain signal), the window function frequency domain signal W k]And window function time domain signal w [ n ]]The relationship between (a) is expressed as follows:
therefore, the window function time domain signal W [ n ] obtained in step 102 and the window function frequency domain signal W [ k ] corresponding thereto have a relationship shown in formula two.
Fig. 2 shows a schematic operation of a method of smoothing an impulse response signal according to an embodiment of the application.
Referring to fig. 2, the obtained time domain impulse response signal h [ n ] to be smoothed is multiplied by the obtained window function time domain signal w [ n ] to obtain a smoothed time domain impulse response signal.
Multiplying the right side of equation one by the right side of equation two (i.e., to-be-smoothed impulse response time domain signal H [ n ] by window function time domain signal W [ n ]) is equal to the left side of equation one by the left side of equation two (i.e., to-be-smoothed impulse response frequency domain signal H [ k ] by window function frequency domain signal W [ k ]). In terms of the cyclic convolution property of the FFT, the following relational expression is obtained:
the left side of the formula III represents multiplication of the time domain impulse response signal H [ N ] to be smoothed and the window function time domain signal W [ N ], and the right side represents N point cyclic convolution of the frequency domain impulse response signal H [ k ] to be smoothed and the window function frequency domain signal W [ k ]. Since different window functions can be adopted to truncate the signal in the time domain, equation three shows that by multiplying the impulse response signal in the time domain to be smoothed with the window function time domain signal, it is possible to realize a moving average of the impulse response signal (i.e., the time domain impulse response signal to be smoothed) in the frequency domain with a specified window (i.e., window function time domain signal w [ n ]).
In the scheme of the embodiment of the application, a window function time domain signal is determined according to a time domain impulse response signal to be smoothed; multiplying the time domain impulse response signal to be smoothed by the window function time domain signal to obtain a smoothed time domain impulse response signal. The smoothing processing of the method is directly realized in the time domain, distortion and tailing of the time domain signal are not generated, jitter of the frequency domain signal is not caused, and the smoothing operation process of the time domain is simple and the calculated amount is low.
In one possible implementation, referring to fig. 3, step S120 includes:
s1201: and obtaining the window function frequency domain signal according to the parameters of the preset window function frequency domain signal.
S1202: and obtaining a window function time domain signal corresponding to the time domain impulse response signal to be smoothed according to the time domain impulse response signal to be smoothed and the window function frequency domain signal.
Because the window function time domain signal w [ n ] of the embodiment of the application needs to be designed in advance, it is difficult to directly design the window function time domain signal w [ n ]. However, the window function time domain signal W [ n ] and the window function frequency domain signal W [ k ] are fourier transform pairs, and the window function frequency domain signal W [ k ] can be obtained by substituting parameters of a preset window function frequency domain signal into a window function formula (each window function has a fixed formula). And obtaining a window function time domain signal W [ n ] according to the window function frequency domain signal W [ k ] and the time domain impulse response signal h [ n ] to be smoothed.
The embodiment of the application can obtain the window function time domain signal corresponding to the time domain impulse response signal to be smoothed by a simpler calculation mode, further simplifies the smoothing operation process and reduces the calculated amount.
In one possible implementation, step S1201 is specifically:
and obtaining a window function frequency domain signal according to the window function shape parameter and the window function length parameter.
It should be noted that, by adjusting the shape parameter and the length parameter of the window function, different frequency domain signals of the window function can be obtained, and further different time domain signals of the window function can be obtained through IFFT, so as to realize different smoothing effects.
Specifically, the embodiment of the application can obtain the window function frequency domain signal W [ k ] by firstly designing the required shape and length of the window function and then according to the window function shape parameter and the window function length parameter. And the window function frequency domain signal W [ k ] is subjected to IFFT to obtain a corresponding window function time domain signal W [ n ].
The formula for the window function frequency domain signal W k is defined as follows:
b and m in the fourth formula respectively represent the shape function outline of the window function and the number of length sampling points,
f (b, k, m) represents a window function of some kind, reference can be made to the design of the blackman window family and the keze window family, wherein b e [0,1] is smoother for the 0-time window function shape, steeper for the 1-time window function edge, and is a rectangular window when b=1; m is E [0, N/2), and the window length is 2m+1.
In one possible implementation, step S1202 is specifically:
and performing IFFT on the window function frequency domain signal to obtain a window function time domain signal with the length consistent with that of the time domain impulse response signal to be smoothed.
Specifically, the time domain signal w [ n ] of the window function]Then the frequency domain signal W k can be obtained by a window function]Performing IFFT acquisition, namely:
equation five shows the process of obtaining the window function time domain signal W n from the window function frequency domain signal W k.
The embodiment of the application enables the length of the time domain signal w [ n ] of the window function to be consistent with that of the time domain impulse response signal h [ n ] to be smoothed, so as to enable the time domain signal h [ n ] of the impulse response to be smoothed to be multiplied by the time domain signal w [ n ] of the window function. Thus, the impulse response signal is subjected to moving average in a frequency domain by a specified window through multiplying the impulse response signal in a time domain to be smoothed by the window function time domain signal. The embodiment of the application realizes smoothing operation in the time domain, only needs one IFFT, and has simple calculation process and low calculation amount compared with complex frequency domain octave smoothing.
Fig. 4 shows an operation diagram of a smoothing method of an impulse response signal according to another embodiment of the present application.
Referring to fig. 4, the window function frequency domain signal W k is obtained by designing the window function shape parameter and the window function length parameter first, and then according to the window function shape parameter and the window function length parameter. And the window function frequency domain signal W [ k ] is subjected to IFFT to obtain a corresponding window function time domain signal W [ n ]. Multiplying the obtained time domain impulse response signal h [ n ] to be smoothed with the obtained window function time domain signal w [ n ] to obtain a smoothed time domain impulse response signal.
Embodiments of the present application are described below with respect to a particular window function frequency domain signal W [ k ].
For example, taking the shape b=1 of the window function, i.e. taking a rectangular window as an example, the rectangular window frequency domain signal W k]Is defined as follows:
frequency domain signal W [ k ] with formula six being rectangular window]And (3) representing. Corresponding to the rectangular window time domain signal w [ n ] obtained through IFFT]Is defined as follows:
in one possible implementation, referring to fig. 5, step S103 includes:
step S1031: and respectively carrying out truncation processing on the time domain impulse response signal to be smoothed and the window function time domain signal to obtain a truncated time domain impulse response signal to be smoothed and a truncated window function time domain signal.
Step S1032: multiplying the truncated time domain impulse response signal to be smoothed with the truncated window function time domain signal to obtain a smoothed time domain impulse response signal.
The embodiment of the application realizes smoothing by shortening the time domain impulse response signal to be smoothed and the window function time domain signal, and the smoothed time domain impulse response signal has no distortion trailing, and the whole frequency spectrum is smooth and has no jitter.
It should be noted that, due to the requirement of smoothing the time domain impulse response signal to be smoothed and the characteristic that the tail end of the time domain impulse response signal to be smoothed tends to zero, the following expression can be specifically adopted to perform time domain signal truncation processing:
h in the above sm [n]Representing the truncated time domain impulse response signal to be smoothed. Specifically, the embodiment of the application cuts the length of the time domain impulse response signal to be smoothed and the length of the window function time domain signal to be half of the original length, and performs multiplication operation to obtain the smoothed time domain impulse response signal with the length halved. The method acquires the smoothed time domain impulse response signal with the length of N/2, and completes the time domain smoothing processing of the embodiment of the application.
It should be noted that, in the window function frequency domain signal W [ k ] with reasonable frequency domain design, the corresponding window function time domain signal W [ n ] is obtained through IFFT, and the window function time domain signal W [ n ] and the impulse response time domain signal h [ n ] to be smoothed are multiplied after being respectively truncated, so that impulse response signal smoothing can be realized. The method is still essentially smooth in signal sliding of the complex frequency domain, but replaces the cyclic convolution of the complex frequency domain signal by multiplying the time domain signal, directly realizes the smoothing operation on the time domain, and further avoids the distortion and tailing of the time domain signal by shortening operation.
In one possible implementation, referring to fig. 6, the method further includes:
step S104: and taking the smoothed time domain impulse response signal as an iterative time domain impulse response signal to be smoothed.
Step S105: and determining an iterative window function time domain signal according to the iterative time domain impulse response signal to be smoothed.
Step S106: multiplying the iterative time domain impulse response signal to be smoothed with the iterative window function time domain signal to obtain the iterative smoothed time domain impulse response signal.
If the smoothness of the impulse response signal needs to be further improved, the secondary smoothing can be performed on the basis of the smoothed time domain impulse response signal, namely, the time domain impulse response signal after the primary smoothing is used as a time domain impulse response signal to be smoothed for the secondary smoothing, a corresponding window function time domain signal is redesigned according to the time domain impulse response signal to be smoothed for the secondary smoothing, and the newly obtained window function time domain signal is multiplied by the time domain impulse response signal to be smoothed for the secondary smoothing, so that the time domain impulse response signal after the secondary smoothing is obtained. The time domain smoothing method can repeatedly execute the iterative operation and carry out time domain smoothing for any times until the time domain impulse response signal meets the required smoothing degree.
In one possible implementation, referring to fig. 7, step S106 includes:
step S1061: and respectively carrying out truncation processing on the iterative time domain impulse response signal to be smoothed and the iterative window function time domain signal to obtain a truncated iterative time domain impulse response signal to be smoothed and a truncated iterative window function time domain signal.
Step S1062: multiplying the time domain impulse response signal to be smoothed of the truncated iteration with the window function time domain signal of the truncated iteration to obtain the time domain impulse response signal of the smoothed iteration.
Specifically, the embodiment of the application cuts the lengths of the time domain impulse response signal to be smoothed of the second smoothing and the window function time domain signal of the second design into half of the lengths of the time domain impulse response signal to be smoothed of the first smoothing and the window function time domain signal of the first smoothing, and multiplies the time domain impulse response signal to obtain a smoothed time domain impulse response signal with half the length compared with the time domain impulse response signal of the first smoothing. The method acquires the smoothed time domain impulse response signal, the length is N/4, and the smoothing degree is higher than that of the first smoothed time domain impulse response signal.
It should be noted that, the smoothing method can perform iterative operation on the time domain signal, gradually reduce the length of the time domain impulse signal through multiple times of smoothing, and finally obtain the impulse response signal with the required smoothing degree and signal length. The method for smoothing impulse response signals is directly realized on a time domain, the smoothed time domain signals have no distortion trailing, the obtained signals are smooth and jitter-free on the whole frequency spectrum, the calculation process is simple, and the calculated amount is low.
Fig. 8 is a schematic block diagram of an impulse response signal smoothing device based on time domain signal truncation according to another embodiment of the present application. The scheme of the embodiment of the application can be applied to electronic equipment, including but not limited to: a terminal device with a communication function or an electronic device with data processing capability, etc.
The impulse response signal smoothing device based on time domain signal truncation of the present embodiment includes:
a signal acquisition module 801, configured to acquire a time domain impulse response signal to be smoothed.
A window function determining module 802, configured to determine a window function time domain signal corresponding to the time domain impulse response signal to be smoothed according to the time domain impulse response signal to be smoothed.
The signal processing module 803 is configured to multiply the time domain impulse response signal to be smoothed with the window function time domain signal to obtain a smoothed time domain impulse response signal.
Referring to fig. 9, a schematic structural diagram of an electronic device according to another embodiment of the present application is shown, and the specific embodiment of the present application is not limited to the specific implementation of the electronic device.
As shown in fig. 9, the electronic device may include: a processor 902, a communication interface (Communications Interface), a memory 906 in which a program 910 is stored, and a communication bus 908.
The processor, communication interface, and memory communicate with each other via a communication bus. And the communication interface is used for communicating with other electronic devices or servers. And a processor, configured to execute a program, and specifically may execute relevant steps in the foregoing method embodiment. In particular, the program may include program code including computer-operating instructions.
The processor may be a processor CPU or a specific integrated circuit ASIC (Application Specific Integrated Circuit) or one or more integrated circuits configured to implement embodiments of the present application. The one or more processors comprised by the smart device may be the same type of processor, such as one or more CPUs; but may also be different types of processors such as one or more CPUs and one or more ASICs.
And the memory is used for storing programs. The memory may comprise high-speed RAM memory or may further comprise non-volatile memory, such as at least one disk memory.
The program may be operative to cause a processor to perform operations of: acquiring a time domain impulse response signal to be smoothed; determining a window function time domain signal according to the time domain impulse response signal to be smoothed; multiplying the time domain impulse response signal to be smoothed by the window function time domain signal to obtain a smoothed time domain impulse response signal.
The above embodiments are only for illustrating the embodiments of the present application, but not for limiting the embodiments of the present application, and various changes and modifications may be made by one skilled in the relevant art without departing from the spirit and scope of the embodiments of the present application, so that all equivalent technical solutions also fall within the scope of the embodiments of the present application, and the scope of the embodiments of the present application should be defined by the claims. The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function.
For convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functions of each element may be implemented in the same piece or pieces of software and/or hardware when implementing the present application.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory. The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular transactions or implement particular abstract data types. The application may also be practiced in distributed computing environments where transactions are performed by remote processing devices that are connected through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.
Claims (10)
1. A method of smoothing an impulse response signal, the method comprising:
acquiring a time domain impulse response signal to be smoothed;
determining a window function time domain signal corresponding to the time domain impulse response signal to be smoothed according to the time domain impulse response signal to be smoothed;
multiplying the time domain impulse response signal to be smoothed with the window function time domain signal to obtain a smoothed time domain impulse response signal.
2. The method according to claim 1, wherein said determining a window function time domain signal corresponding to the time domain impulse response signal to be smoothed according to the time domain impulse response signal to be smoothed comprises:
obtaining window function frequency domain signals according to parameters of preset window function frequency domain signals;
and obtaining the window function time domain signal corresponding to the time domain impulse response signal to be smoothed according to the time domain impulse response signal to be smoothed and the window function frequency domain signal.
3. The method according to claim 2, wherein the obtaining the window function frequency domain signal according to the parameters of the preset window function frequency domain signal comprises:
and obtaining the window function frequency domain signal according to the window function shape parameter and the window function length parameter.
4. A method according to claim 3, wherein the obtaining the window function time domain signal corresponding to the time domain impulse response signal to be smoothed according to the time domain impulse response signal to be smoothed and the window function frequency domain signal, specifically is:
and performing inverse fast Fourier transform on the window function frequency domain signal to obtain the window function time domain signal with the length consistent with that of the time domain impulse response signal to be smoothed.
5. The method of claim 1, wherein multiplying the time domain impulse response signal to be smoothed with the window function time domain signal to obtain a smoothed time domain impulse response signal, comprises:
respectively truncating the time domain impulse response signal to be smoothed and the window function time domain signal to obtain a truncated time domain impulse response signal to be smoothed and a truncated window function time domain signal;
multiplying the truncated time domain impulse response signal to be smoothed with the truncated window function time domain signal to obtain a smoothed time domain impulse response signal.
6. The method according to claim 1, characterized in that the method further comprises:
taking the smoothed time domain impulse response signal as an iterative time domain impulse response signal to be smoothed;
determining an iterative window function time domain signal according to the iterative time domain impulse response signal to be smoothed;
multiplying the iterative time domain impulse response signal to be smoothed with the iterative window function time domain signal to obtain an iterated time domain impulse response signal after smoothing.
7. The method of claim 6, wherein multiplying the iterative time domain impulse response signal to be smoothed with the iterative window function time domain signal to obtain an iterated smoothed time domain impulse response signal, comprising:
respectively carrying out truncation processing on the iterative time domain impulse response signal to be smoothed and the iterative window function time domain signal to obtain a truncated iterative time domain impulse response signal to be smoothed and a truncated iterative window function time domain signal;
multiplying the time domain impulse response signal to be smoothed of the truncated iteration with the window function time domain signal of the truncated iteration to obtain a time domain impulse response signal after smoothing.
8. An apparatus for smoothing an impulse response signal, comprising:
the signal acquisition module is used for acquiring a time domain impulse response signal to be smoothed;
the window function determining module is used for determining window function time domain signals corresponding to the time domain impulse response signals to be smoothed according to the time domain impulse response signals to be smoothed;
and the signal processing module is used for multiplying the time domain impulse response signal to be smoothed by the window function time domain signal to obtain a smoothed time domain impulse response signal.
9. An electronic device, comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus; the memory is configured to store at least one executable instruction that causes the processor to perform operations corresponding to the method of any one of claims 1-7.
10. A computer storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any of claims 1-7.
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