CN112698396B - Data processing method and system for suppressing extremely strong environmental noise - Google Patents
Data processing method and system for suppressing extremely strong environmental noise Download PDFInfo
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Abstract
The invention provides a data processing method and a system for suppressing extremely strong environmental noise, wherein the method comprises the following steps: acquiring seismic data of an original shot point, and analyzing the seismic data to obtain a distribution rule of environmental noise; according to the distribution rule of the environmental noise, the abnormal interference noise in the gun domain environment is suppressed through frequency division abnormal amplitude attenuation; performing surface consistency amplitude compensation after pressing to obtain amplitude compensation data in a gun domain environment; according to the amplitude compensation data in the gun domain environment, abnormal interference noise of the CMP domain is suppressed by utilizing an iteration processing mode through frequency division abnormal attenuation, surface consistency amplitude compensation is carried out after each suppression, and a denoising processing result is obtained after the iteration processing is completed. The data processing method and the data processing system for suppressing extremely strong environmental noise can effectively suppress the environmental noise, obviously improve the signal-to-noise ratio of data and lay a high-quality data foundation for prestack migration and prestack inversion work.
Description
Technical Field
The invention belongs to the technical field of seismic data processing, and particularly relates to a data processing method and system for suppressing extremely strong environmental noise.
Background
In recent years, the popularization and application of the acquisition method for the excitation of the controllable seismic source and the reception of the single-point detector greatly improve the field production efficiency and reduce the production cost, but the acquisition method has very limited noise suppression capability, has extremely strong environmental noise on the original record, and has adverse effects on data processing and final results.
As shown in FIG. 1, a representative raw recorded pure wave display of a source excitation and single point detector reception is shown. It can be seen from fig. 1 that, except that the near shot arrangement can identify first arrival and reflection, the far arrangement is completely submerged in strong energy anomaly interference, which seriously affects the signal-to-noise ratio of the data. By processing, fig. 2 is a gain display diagram of fig. 1, and it can be seen that the common shot gather is completely unable to identify the effective reflections due to noise interference.
In view of the foregoing, a technical solution that can suppress extremely strong environmental noise is needed.
Disclosure of Invention
In order to solve the problems, the invention provides a data processing method and a data processing system for suppressing extremely strong environmental noise, which can suppress noise to the maximum extent aiming at pollution of extremely strong environmental noise and abnormal energy interference to original data, and simultaneously protect effective information, thereby improving the signal-to-noise ratio of seismic data.
In an embodiment of the present invention, a data processing method for suppressing extremely strong environmental noise is provided, including:
Acquiring seismic data of an original shot point, and analyzing the seismic data to obtain a distribution rule of environmental noise;
According to the distribution rule of the environmental noise, abnormal interference noise in the gun domain environment is suppressed through frequency division abnormal amplitude attenuation;
Performing surface consistency amplitude compensation after pressing to obtain amplitude compensation data in a gun domain environment;
According to the amplitude compensation data in the gun domain environment, abnormal interference noise of the CMP domain is suppressed by utilizing an iteration processing mode through frequency division abnormal attenuation, earth surface consistency amplitude compensation is carried out after each suppression, and a denoising processing result is obtained after the iteration processing is completed.
In one embodiment of the present invention, there is also provided a data processing system suppressing extremely strong environmental noise, the system including:
The environment noise analysis module is used for acquiring the seismic data of the original shot point and analyzing the seismic data to obtain the distribution rule of the environment noise;
The noise suppression module is used for suppressing abnormal interference noise in the gun domain environment through frequency division abnormal amplitude attenuation according to the distribution rule of the environmental noise;
the amplitude compensation module is used for carrying out surface consistency amplitude compensation after pressing to obtain amplitude compensation data in a gun domain environment;
And the iteration processing module is used for suppressing abnormal interference noise of the CMP domain by utilizing an iteration processing mode through frequency division abnormal attenuation according to the amplitude compensation data in the gun domain environment, performing surface consistency amplitude compensation after each suppression, and obtaining a denoising processing result after the iteration processing is completed.
In an embodiment of the present invention, a computer device is also presented, including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing a data processing method suppressing extremely strong environmental noise when executing the computer program.
In an embodiment of the present invention, there is also provided a computer-readable storage medium storing a computer program for executing the data processing method of suppressing extremely strong environmental noise.
The data processing method and the data processing system for suppressing extremely strong environmental noise can effectively suppress the environmental noise, obviously improve the signal-to-noise ratio of data and lay a high-quality data foundation for prestack migration and prestack inversion work.
Drawings
FIG. 1 is a pure wave display of an original single shot recording disturbed by strong energy.
Fig. 2 is a display diagram after gain of fig. 1 using conventional techniques.
FIG. 3 is a flow chart of a data processing method for suppressing extremely strong environmental noise according to an embodiment of the present invention.
FIG. 4 is a detailed flow chart of a data processing method for suppressing extremely strong environmental noise according to an embodiment of the present invention.
Fig. 5 is a cross-sectional view of a pure wave superposition of raw data from a cold north slope region in accordance with an embodiment of the present invention.
FIG. 6 is a schematic diagram of the strong energy ambient noise distribution of a common shot region in accordance with an embodiment of the present invention.
Fig. 7 is a schematic diagram of a strong energy ambient noise distribution of a CMP domain in accordance with an embodiment of the present invention.
Fig. 8A to 8C are schematic diagrams illustrating a profile, a spectrum, and a signal-to-noise ratio attribute of a target interval before performing amplitude-preserving denoising according to an embodiment of the present invention.
Fig. 9A to 9C are schematic diagrams of a section, a spectrum, and a target interval snr after shot domain denoising according to an embodiment of the present invention.
Fig. 10A to 10C are schematic diagrams of a cross section, a spectrum, and a target interval snr after CMP domain denoising according to an embodiment of the present invention.
Fig. 11A to 11C are schematic diagrams illustrating the profile, spectrum and snr properties of a target interval after amplitude compensation according to an embodiment of the present invention.
Fig. 12 is a schematic diagram of a far shot arrangement original record according to an embodiment of the present invention.
Fig. 13 is a schematic diagram of a record after comprehensive denoising of a far shot arrangement according to an embodiment of the present invention.
Fig. 14A and 14B are schematic diagrams of the near shot alignment raw record and spectrum before the integrated denoising according to an embodiment of the present invention.
Fig. 15A and 15B are schematic diagrams of the near shot alignment raw record and the spectrum after the integrated denoising according to an embodiment of the present invention.
FIG. 16 is a schematic diagram of a data processing system that suppresses extremely strong ambient noise in accordance with one embodiment of the present invention.
Fig. 17 is a schematic structural diagram of an iterative processing module according to an embodiment of the present invention.
Detailed Description
The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are presented merely to enable those skilled in the art to better understand and practice the invention and are not intended to limit the scope of the invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Those skilled in the art will appreciate that embodiments of the invention may be implemented as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the following forms, namely: complete hardware, complete software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
According to the embodiment of the invention, a data processing method and a data processing system for suppressing extremely strong environmental noise are provided.
The method is characterized in that the environmental noise generally develops in a common shot point area (or is concentrated in a certain area) through analyzing the distribution rule of the environmental noise, and the pressing effect is not ideal, but the environmental noise is randomly distributed in the areas such as CMP, OVT, common detection points and the like. In contrast, according to the characteristic that the environmental noise is randomly distributed in other domains, the method of gradual iteration (iteration of denoising and amplitude compensation) and serial connection is adopted, so that the effective reflection signal is protected, and the environmental noise is suppressed to the greatest extent.
The principles and spirit of the present invention are explained in detail below with reference to several representative embodiments thereof.
FIG. 3 is a flowchart of a data processing method for suppressing extremely strong environmental noise according to an embodiment of the present invention, as shown in FIG. 3, the method includes:
step S1, obtaining seismic data of an original shot point, and analyzing the seismic data to obtain a distribution rule of environmental noise;
And analyzing the distribution rule of environmental noise in a plurality of domains including a shot domain, a CMP domain, an OVT domain and a common detector point domain according to the seismic data of the original shot point.
S2, suppressing abnormal interference noise in a gun domain environment through frequency division abnormal amplitude attenuation according to the distribution rule of the environmental noise;
Wherein, the unusual interference noise includes: ambient noise and abnormal interference energy.
And step S3, performing surface consistency amplitude compensation after pressing to obtain amplitude compensation data in a gun domain environment.
And S4, suppressing abnormal interference noise of the CMP domain by utilizing an iterative processing mode through frequency division abnormal attenuation according to the amplitude compensation data in the gun domain environment, performing surface consistency amplitude compensation after each suppression, and obtaining a denoising processing result after the iterative processing is completed.
In one embodiment, a detailed flow chart of a data processing method for suppressing extremely strong environmental noise is shown in connection with fig. 4. As shown in fig. 4, after steps S1 to S3, the detailed processing flow of step S4 is as follows:
step S401, according to the amplitude compensation data in the gun domain environment, carrying out frequency division abnormal amplitude attenuation in series, and suppressing abnormal interference noise of a CMP domain and a random domain to obtain a first suppression result;
step S402, based on the first suppression result, carrying out frequency division abnormal amplitude attenuation in series, suppressing the residual abnormal interference noise of the CMP domain, and carrying out surface consistency amplitude compensation after suppression is completed to obtain amplitude compensation data;
Step S403, carrying out frequency division abnormal amplitude attenuation on the obtained amplitude compensation data by using an iteration processing mode, suppressing the residual abnormal interference noise of the CMP domain, carrying out surface consistency amplitude compensation after each suppression, and obtaining a denoising processing result after the iteration processing is completed.
And judging whether the iteration process is finished or not by setting a signal-to-noise ratio threshold value, and when the signal-to-noise ratio of the denoising result reaches the signal-to-noise ratio threshold value, judging that the iteration process is finished, and stopping iteration to obtain the denoising result. The result includes an effective reflected signal that maximizes the suppression of ambient noise.
In the whole data processing process, a monitoring noise superposition section can be added in each denoising process, meanwhile, the spectrum change is monitored, the effective information and the damage degree of the effective information frequency band are obtained, and when the damage degree is smaller than a damage threshold value, the energy of the effective information is further recovered through the earth surface consistency amplitude compensation, so that the purpose of amplitude preservation and denoising is achieved. Therefore, the situation that any effective information is damaged in the denoising process can be avoided, and the effective information frequency band is prevented from being lost.
It should be noted that although the operations of the method of the present invention are described in a particular order in the above embodiments and the accompanying drawings, this does not require or imply that the operations must be performed in the particular order or that all of the illustrated operations be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform.
In order to more clearly explain the data processing method for suppressing extremely strong environmental noise, a specific embodiment will be described below, however, it should be noted that this embodiment is only for better illustrating the present invention and is not meant to limit the present invention unduly.
Embodiment one:
Taking a cold north slope area as an example, acquiring seismic data of an original shot point of the area, and correcting the seismic data by using a high Cheng Jing, wherein the seismic data is a pure wave superposition sectional view of the original data of the cold north slope area as shown in fig. 5. As can be seen from fig. 5, the data contains superimposed cross sections of extremely strong environmental noise, from which it is difficult to identify the structural form and the target layer, and the entire cross section is completely submerged in the interference noise.
By analyzing the distribution rules of environmental noise in a plurality of domains including a shot domain, a CMP domain, an OVT domain and a common detection point domain, the environmental noise can be widely developed in the common shot domain (or concentrated in a certain area), the pressing effect is not ideal, but the environmental noise is randomly distributed in the domains such as the CMP domain, the OVT domain, the common detection point domain and the like; referring to fig. 6 and 7, fig. 6 is a schematic diagram of the strong energy environmental noise distribution in the common shot region, and fig. 7 is a schematic diagram of the strong energy environmental noise distribution in the CMP region.
As shown in fig. 6 and 7, according to the distribution characteristics of the environmental noise in each domain, the invention adopts a gradual, iterative (iteration of denoising and amplitude compensation) and series connection method, thereby protecting the effective reflection signal and suppressing the environmental noise to the maximum extent.
The specific process can be combined with the process shown in fig. 3 and fig. 4, firstly, the environmental noise of the gun domain is suppressed, and the surface consistency amplitude compensation is carried out; analyzing the noise by frequency division, and suppressing the main strong energy environmental noise in the CMP domain; the data of the extremely strong environmental noise distribution area is further attenuated by adopting a serial connection means, and meanwhile, the amplitude compensation of the earth surface consistency is carried out, so that the energy of effective information is further recovered, and the purposes of amplitude preservation and noise removal are achieved.
The key in the whole treatment process is as follows: the noise superposition profile must be monitored in each denoising process, any damage condition of effective information in the denoising process is not allowed, and the spectral changes before and after denoising are monitored, so that the effective information frequency band is ensured not to be lost.
Fig. 8A to 11C are schematic cross-sectional views of the original cross-section, shot domain denoising, CMP domain denoising and amplitude compensation in the cyclic iteration process.
Specifically, fig. 8A, 8B and 8C are schematic diagrams of the profile, spectrum and target interval snr properties before performing amplitude-preserving denoising. As seen in connection with fig. 8A, the effective information is substantially unrecognizable due to strong energy anomaly noise and environmental noise effects. And referring to fig. 8C, the signal-to-noise ratio attribute is 0.2-1, and the effective information is less.
Through gun domain denoising, as shown in fig. 9A, 9B and 9C, the signal-to-noise ratio attribute diagrams of the section, the frequency spectrum and the target interval after gun domain denoising are respectively shown, and it can be seen from the diagrams that effective information is increased, but the effective information cannot be well identified, and the signal-to-noise ratio attribute of fig. 9C is 0.5-1.
Further, the CMP domain denoising is performed, as shown in fig. 10A, 10B and 10C, which are schematic diagrams of the profile, spectrum and target layer segment snr properties after the CMP domain denoising, and the snr property of fig. 10C is 0.6-2.
After the denoising process, the amplitude compensation of the earth surface consistency can be performed, and the energy of the effective information is recovered, so that the purpose of amplitude preservation and denoising is achieved.
Specifically, through the 'denoising and amplitude compensation' of loop iteration, the noise superposition profile is kept monitored in each denoising process, the situation that any effective information is damaged in the denoising process is not allowed, and meanwhile, the spectral changes before and after denoising are monitored, so that the effective information frequency band is ensured not to be lost, and the earth surface consistency amplitude compensation is carried out. 11A, 11B and 11C are schematic diagrams of the signal-to-noise ratio attribute of the section, the frequency spectrum and the target interval after the amplitude compensation, and the signal-to-noise ratio attribute of FIG. 11C is 0.8-5; from the graph, the environmental noise is effectively suppressed, and the data signal-to-noise ratio is obviously improved.
Embodiment two:
Taking a cold north slope area as an example, the data processing method for suppressing extremely strong environmental noise is adopted to process the far and near shot point arrangement original data of the area.
As shown in fig. 12, which is a schematic diagram of the original record of the far shot arrangement, the effective reflection is completely submerged in the strong energy abnormal noise and the environmental noise, and the first arrival information cannot be identified. As shown in FIG. 13, the schematic diagram of the record after the comprehensive denoising of the far shot point arrangement can be seen, the abnormal interference is well suppressed, the signal to noise ratio of the data is greatly improved, and the effective reflection information can be seen on a single shot after denoising.
Fig. 14A to 15B are schematic diagrams of the near shot alignment original record and the spectrum before and after the integrated denoising.
As can be seen by comparing fig. 14A and fig. 15A, most of abnormal interference and surface wave interference are effectively suppressed, the signal-to-noise ratio of data is greatly improved, and meanwhile, the low-frequency effective information is protected to the greatest extent by comparing the frequency spectrums before and after denoising shown in fig. 14B and fig. 15B.
In summary, the data processing method for suppressing extremely strong environmental noise can effectively suppress the environmental noise, so that the data signal-to-noise ratio is obviously improved, and a high-quality data foundation is laid for prestack migration and prestack inversion work.
Based on the same inventive concept, the invention also provides a data processing system for suppressing extremely strong environmental noise, as shown in fig. 16, the system comprises:
The environmental noise analysis module 110 is configured to obtain seismic data of an original shot point, and analyze the seismic data to obtain a distribution rule of environmental noise;
the noise suppression module 120 is configured to suppress abnormal interference noise in the cannon domain environment by frequency division abnormal amplitude attenuation according to the distribution rule of the environmental noise;
The amplitude compensation module 130 is used for performing surface consistency amplitude compensation after pressing to obtain amplitude compensation data in a gun domain environment;
And the iteration processing module 140 is used for suppressing abnormal interference noise of the CMP domain by utilizing a frequency division abnormal attenuation mode according to the amplitude compensation data in the gun domain environment, performing surface consistency amplitude compensation after each suppression, and obtaining a denoising processing result after the iteration processing is completed.
The monitoring module 150 is configured to monitor a noise superposition profile and a frequency spectrum change during each abnormal interference noise suppression process, and obtain effective information and a damage degree of an effective information frequency band;
When the damage degree is smaller than the damage threshold, the amplitude compensation module 130 or the iteration processing module 140 performs the surface consistency amplitude compensation accordingly.
Wherein, as shown in fig. 17, the iterative processing module 140 further includes:
The noise suppression unit 1401 is configured to perform frequency division abnormal amplitude attenuation in series according to the amplitude compensation data in the shot domain environment, and suppress abnormal interference noise in the CMP domain and the random domain, so as to obtain a first suppression result;
An iteration processing unit 1402, configured to perform frequency division abnormal amplitude attenuation in series based on the first suppression result, suppress the residual abnormal interference noise of the CMP domain, and perform surface consistency amplitude compensation after suppression is completed, to obtain amplitude compensation data;
The iteration processing unit 1402 performs frequency division abnormal amplitude attenuation on the obtained amplitude compensation data by using an iteration processing mode, suppresses residual abnormal interference noise of the CMP domain, performs surface consistency amplitude compensation after each suppression is completed, determines that the iteration processing is completed when the signal-to-noise ratio of the denoising processing result reaches a signal-to-noise ratio threshold, stops iteration, and obtains the denoising processing result after the iteration processing is completed.
It should be noted that while several modules of a data processing system suppressing extremely strong ambient noise are mentioned in the above detailed description, this division is merely exemplary and not mandatory. Indeed, the features and functions of two or more modules described above may be embodied in one module in accordance with embodiments of the present invention. Conversely, the features and functions of one module described above may be further divided into a plurality of modules to be embodied.
In an embodiment of the present invention, a computer device is also presented, including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing a data processing method suppressing extremely strong environmental noise when executing the computer program.
In an embodiment of the present invention, there is also provided a computer-readable storage medium storing a computer program for executing the data processing method of suppressing extremely strong environmental noise.
The data processing method and the data processing system for suppressing extremely strong environmental noise can effectively suppress the environmental noise, obviously improve the signal-to-noise ratio of data and lay a high-quality data foundation for prestack migration and prestack inversion work.
While the spirit and principles of the present invention have been described with reference to several particular embodiments, it is to be understood that the invention is not limited to the disclosed embodiments nor does it imply that features of the various aspects are not useful in combination, nor are they useful in any combination, such as for convenience of description. The invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (8)
1. A data processing method for suppressing extremely strong environmental noise, comprising:
Acquiring seismic data of an original shot point, and analyzing the seismic data to obtain a distribution rule of environmental noise;
According to the distribution rule of the environmental noise, abnormal interference noise in the gun domain environment is suppressed through frequency division abnormal amplitude attenuation;
Performing surface consistency amplitude compensation after pressing to obtain amplitude compensation data in a gun domain environment;
According to the amplitude compensation data in the gun domain environment, suppression of abnormal interference noise of the CMP domain is carried out by utilizing an iteration processing mode through frequency division abnormal attenuation, earth surface consistency amplitude compensation is carried out after each suppression, and a denoising processing result is obtained after the iteration processing is completed;
according to the amplitude compensation data in the gun domain environment, abnormal interference noise of the CMP domain is suppressed by utilizing an iteration processing mode through frequency division abnormal attenuation, surface consistency amplitude compensation is performed after each suppression, and a denoising processing result is obtained after the iteration processing is completed, wherein the method comprises the following steps:
according to the amplitude compensation data in the gun domain environment, carrying out frequency division abnormal amplitude attenuation in series, and suppressing abnormal interference noise of a CMP domain and a random domain to obtain a first suppression result;
Based on the first suppression result, carrying out frequency division abnormal amplitude attenuation in series, suppressing residual abnormal interference noise of the CMP domain, and carrying out surface consistency amplitude compensation after suppression is completed to obtain amplitude compensation data;
carrying out frequency division abnormal amplitude attenuation on the obtained amplitude compensation data by using an iteration processing mode, suppressing residual abnormal interference noise of the CMP domain, carrying out surface consistency amplitude compensation after each suppression, and obtaining a denoising processing result after the iteration processing is completed;
Wherein the method further comprises:
In each abnormal interference noise suppression process, monitoring the change of a noise superposition section and a frequency spectrum, obtaining effective information and the damage degree of an effective information frequency band, and performing surface consistency amplitude compensation when the damage degree is smaller than a damage threshold value.
2. The method for processing data suppressing extremely strong environmental noise according to claim 1, wherein obtaining seismic data of an original shot and analyzing the seismic data to obtain a distribution rule of the environmental noise comprises:
And analyzing the distribution rule of environmental noise in a plurality of domains including a shot domain, a CMP domain, an OVT domain and a common detector point domain according to the seismic data of the original shot point.
3. The method for processing data suppressing extremely strong environmental noise according to claim 1, wherein the suppressing the abnormal noise includes: ambient noise and abnormal interference energy.
4. The data processing method for suppressing extremely strong environmental noise according to claim 1, wherein the abnormal interference noise in the CMP domain is suppressed by frequency division abnormal attenuation according to the amplitude compensation data in the shot domain environment by means of iterative processing, and the surface consistency amplitude compensation is performed after each suppression, and when the iterative processing is completed, a denoising processing result is obtained, further comprising:
Setting a signal-to-noise ratio threshold;
and when the signal-to-noise ratio of the denoising processing result reaches the signal-to-noise ratio threshold, judging that the iteration processing is finished, and stopping iteration.
5. A data processing system for suppressing extremely high ambient noise, the system comprising:
The environment noise analysis module is used for acquiring the seismic data of the original shot point and analyzing the seismic data to obtain the distribution rule of the environment noise;
The noise suppression module is used for suppressing abnormal interference noise in the gun domain environment through frequency division abnormal amplitude attenuation according to the distribution rule of the environmental noise;
the amplitude compensation module is used for carrying out surface consistency amplitude compensation after pressing to obtain amplitude compensation data in a gun domain environment;
The iteration processing module is used for suppressing abnormal interference noise of the CMP domain by utilizing a frequency division abnormal attenuation mode according to the amplitude compensation data in the cannon domain environment, performing surface consistency amplitude compensation after each suppression, and obtaining a denoising processing result after the iteration processing is completed;
wherein the iterative processing module further comprises:
The first suppressing unit is used for suppressing abnormal interference noise of the CMP domain and the random domain according to the amplitude compensation data in the gun domain environment and carrying out frequency division abnormal amplitude attenuation in series to obtain a first suppressing result;
The iteration processing unit is used for carrying out frequency division abnormal amplitude attenuation in series on the basis of the first suppression result, suppressing the residual abnormal interference noise of the CMP domain, and carrying out earth surface consistency amplitude compensation after the suppression is finished to obtain amplitude compensation data;
The iteration processing unit carries out frequency division abnormal amplitude attenuation on the obtained amplitude compensation data by utilizing an iteration processing mode, suppresses residual abnormal interference noise of the CMP domain, carries out surface consistency amplitude compensation after each suppression is completed, and obtains a denoising processing result after the iteration processing is completed;
Wherein the system further comprises: the monitoring module is used for monitoring the noise superposition profile and the frequency spectrum change in each abnormal interference noise suppression process and obtaining effective information and the damage degree of an effective information frequency band;
And when the damage degree is smaller than a damage threshold value, the amplitude compensation module or the iteration processing module correspondingly performs surface consistency amplitude compensation.
6. The system according to claim 5, wherein the iteration processing unit is further configured to determine that the iteration process is completed and stop iteration when the signal-to-noise ratio of the denoising result reaches a signal-to-noise ratio threshold.
7. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of claims 1 to 4 when executing the computer program.
8. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program for executing the method of any one of claims 1 to 4.
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