CN115349816A - Interference signal peak value detection method, device, equipment and storage medium - Google Patents
Interference signal peak value detection method, device, equipment and storage medium Download PDFInfo
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- CN115349816A CN115349816A CN202211293817.3A CN202211293817A CN115349816A CN 115349816 A CN115349816 A CN 115349816A CN 202211293817 A CN202211293817 A CN 202211293817A CN 115349816 A CN115349816 A CN 115349816A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/0016—Operational features thereof
- A61B3/0025—Operational features thereof characterised by electronic signal processing, e.g. eye models
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/102—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for optical coherence tomography [OCT]
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/04—Measuring peak values or amplitude or envelope of ac or of pulses
Abstract
The application relates to signal detection, and provides an interference signal peak value detection method, an interference signal peak value detection device, interference signal peak value detection equipment and a storage medium, wherein the method comprises the following steps: performing time domain filtering on the interference signal to obtain a time domain filtering signal; carrying out amplitude limiting on the time domain filtering signal to obtain an amplitude limiting signal; carrying out Fourier transform on the amplitude limiting signal to obtain a frequency domain signal; performing band-pass filtering on the frequency domain signal to obtain a band-pass filtering signal; extracting the maximum value of the band-pass filtering signal, judging whether the maximum value of the signal is greater than a first signal threshold value and less than a second signal threshold value, if so, judging whether the maximum value of the signal is greater than or equal to M times of the average value of the signal of the band-pass filtering signal, and if so, taking the maximum value of the signal as the peak value of the interference signal; the interference of the environmental noise and the pulse noise to the interference signal can be reduced by combining the time domain filtering and the frequency domain filtering for denoising, the signal maximum value of the band-pass filtering signal is judged twice in the frequency domain, and the peak value of the interference signal can be accurately distinguished.
Description
Technical Field
The present application relates to the field of signal detection technology, and for example, to a method, an apparatus, a device, and a storage medium for detecting interference signal peaks.
Background
For the eye interference signal collected by the interferometer to be a time domain signal, the signal intensity difference between the front surface and/or the back surface of the lens and the signal intensity near the lens is very small, and the front surface and/or the back surface of the lens cannot be distinguished from the eye interference signal. In addition, interferometers introduce various noises, such as device noise and environmental noise, during the acquisition of the eye interference signals, which may reduce the recognition rate of the anterior and/or posterior surfaces of the lens. Conventional methods of amplitude discrimination have difficulty in distinguishing the anterior lens surface from the ocular interference signal because the anterior and/or posterior lens surfaces are not significantly noisy in the ocular interference signal.
Disclosure of Invention
The application provides an interference signal peak value detection method, a device, equipment and a storage medium, which aim to solve the problem that the front surface of a lens is difficult to distinguish from an eye interference signal because the front surface and/or the back surface of the lens are not obvious and noisy in the eye interference signal.
In order to solve the above problems, the following technical solutions are adopted in the present application:
provided herein is an interference signal peak detection method, comprising:
obtaining an interference signal, and performing time domain filtering on the interference signal to obtain a time domain filtering signal;
carrying out amplitude limiting on the time domain filtering signal to obtain an amplitude limiting signal;
carrying out Fourier transform on the amplitude limiting signal to obtain a frequency domain signal;
performing band-pass filtering on the frequency domain signal to obtain a band-pass filtering signal;
extracting a signal maximum value of the band-pass filtering signal;
judging whether the maximum signal value is greater than a first signal threshold and less than a second signal threshold, if so, judging whether the maximum signal value is greater than or equal to M times of the average signal value of the band-pass filtering signal;
and if the maximum value of the signal is greater than or equal to M times of the average value of the signal, the maximum value of the signal is the peak value of the interference signal.
Preferably, the performing time-domain filtering on the interference signal to obtain a time-domain filtered signal includes:
and performing time domain high-pass filtering on the interference signal to obtain the time domain filtering signal.
Preferably, the band-pass filtering the frequency domain signal to obtain a band-pass filtered signal includes:
setting a band-pass filtering minimum frequency and a band-pass filtering maximum frequency;
determining a band-pass filtering frequency band according to the band-pass filtering minimum frequency and the band-pass filtering maximum frequency;
and performing band-pass filtering on the frequency domain signal according to the band-pass filtering frequency band to obtain the band-pass filtering signal.
Preferably, the performing amplitude limitation on the time-domain filtered signal to obtain an amplitude-limited signal includes:
and reducing all signal values which are larger than a third signal threshold value in the time-domain filtering signal to preset signal values to obtain the amplitude limiting signal.
Preferably, after determining whether the maximum signal value is greater than the first signal threshold and smaller than the second signal threshold, the method further includes:
if the signal maximum is less than or equal to the first signal threshold, the signal maximum is not the interference signal peak;
if the maximum value of the signal is less than or equal to the second signal threshold value, the maximum value of the signal is not the peak value of the interference signal.
Preferably, after determining whether the maximum value of the signal is greater than M times of the average value of the signal of the band-pass filtered signal, the method further includes:
and if the maximum value of the signal is smaller than M times of the average value of the signals of the band-pass filtering signals, the maximum value of the signal is not the peak value of the interference signal.
Preferably, said M is greater than or equal to 1.5.
The present application also provides an interference signal peak value detection device, including:
the time domain filtering module is used for acquiring an interference signal and performing time domain filtering on the interference signal to obtain a time domain filtering signal;
the amplitude limiting module is used for carrying out amplitude limiting on the time domain filtering signal to obtain an amplitude limiting signal;
the Fourier transform module is used for carrying out Fourier transform on the amplitude limiting signal to obtain a frequency domain signal;
the band-pass filtering module is used for performing band-pass filtering on the frequency domain signal to obtain a band-pass filtering signal;
the signal maximum value extraction module is used for extracting the signal maximum value of the band-pass filtering signal;
the signal maximum value judging module is used for judging whether the signal maximum value is larger than a first signal threshold value and smaller than a second signal threshold value or not, and if yes, judging whether the signal maximum value is larger than or equal to M times of a signal average value of the band-pass filtering signal or not;
and the interference signal peak value judging module is used for judging that the maximum value of the signal is the peak value of the interference signal if the maximum value of the signal is more than or equal to M times of the average value of the signal.
The present application further provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the interference signal peak detection method according to any one of the above methods when executing the computer program.
The present application also provides a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the interference signal peak detection method of any one of the above.
According to the interference signal peak value detection method, the interference signal is obtained, time domain filtering is carried out on the interference signal, a time domain filtering signal is obtained, and the time domain filtering can filter out environmental noise in the interference signal. And carrying out amplitude limiting on the time domain filtering signal to obtain an amplitude limiting signal, wherein the amplitude limiting can remove the pulse noise in the time domain. And carrying out Fourier transform on the amplitude limiting signal to obtain a frequency domain signal. And performing band-pass filtering on the frequency domain signal, and performing secondary denoising in the frequency domain to obtain a band-pass filtering signal. And extracting the maximum value of the band-pass filtering signal, judging whether the maximum value of the signal is greater than a first signal threshold value and less than a second signal threshold value, and if so, judging whether the maximum value of the signal is greater than or equal to M times of the average value of the signal of the band-pass filtering signal. And if the maximum value of the signal is greater than or equal to M times of the average value of the signal, the maximum value of the signal is the peak value of the interference signal. The time domain filtering and the frequency domain filtering are combined for denoising, so that the interference of environmental noise and impulse noise to interference signals can be reduced, the signal maximum value of the band-pass filtering signal is compared with two signal thresholds and a signal average value in the frequency domain, and the peak value of the interference signal can be accurately distinguished.
Drawings
FIG. 1 is a schematic flow chart of an interference signal peak detection method according to an embodiment;
FIG. 2 is a schematic flow chart of band-pass filtering a frequency domain signal according to an embodiment;
FIG. 3 is a schematic flow chart illustrating an embodiment of determining whether a maximum value of a signal is a peak value of an interference signal;
FIG. 4 is a block diagram of an interference signal peak detection apparatus according to an embodiment;
FIG. 5 is a block diagram illustrating the structure of a computer device according to an embodiment.
The implementation, functional features and advantages of the object of the present application will be further explained with reference to the embodiments, and with reference to the accompanying drawings.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application.
As used herein, the singular forms "a", "an", "the" and "the" include plural referents unless the content clearly dictates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, units, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, units, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.
It will be understood by those within the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The forged face image extracted from the high-compression video can be used in various fields, for example, the forged face image is used for face verification before being used for reading the medical image, and after the face verification is passed, the person who forges the face image is used for obtaining the authority of reading the medical image, and the medical image is read. The method and the device can enhance the classification and identification capacity of the forged face image, so that the safety of reading the medical image is improved.
Referring to fig. 1, a schematic flow chart of the interference signal peak detection method according to the present application is shown, including:
s1: and acquiring an interference signal, and performing time-domain filtering on the interference signal to obtain a time-domain filtering signal.
And carrying out time domain high-pass filtering on the interference signal to obtain the time domain filtering signal.
The interference signal is an eye interference signal acquired by an interferometer, and the interference signal may also be other types of signals.
The interference signal is a time domain signal, the interference signal comprises a real signal and environmental noise, and the interference signal may also comprise impact noise caused by the interferometer, and the interference signal is subjected to time domain filtering, so that the interference of the environmental noise on the interference signal can be reduced.
The interference signal is a signal sequence whose horizontal axis represents time and vertical axis represents signal intensity.
S2: and carrying out amplitude limiting on the time domain filtering signal to obtain an amplitude limiting signal.
And reducing all signal values which are larger than a third signal threshold value in the time-domain filtering signal to preset signal values to obtain the amplitude limiting signal.
The time-domain filtering signal contains a real signal, impact noise and a very small amount of environmental noise, the signal value of the impact noise is very large, but the duration is very short, so that a third signal threshold value is set, the signal value which is greater than the third signal threshold value in the time-domain filtering signal is reduced to the third signal threshold value, and the impact noise can be removed.
The time-domain filtered signal is a signal sequence with time on the horizontal axis and signal strength on the vertical axis.
S3: and carrying out Fourier transform on the amplitude limiting signal to obtain a frequency domain signal.
Preferably, the sliced signal is subjected to a continuous fast fourier transform to obtain a continuous frequency domain signal.
The amplitude limiting signal is subjected to Fourier transform, and the amplitude limiting signal can be converted into a frequency domain from a time domain to obtain a frequency domain signal.
The frequency domain signal has frequency on the horizontal axis and signal intensity on the vertical axis.
S4: and performing band-pass filtering on the frequency domain signal to obtain a band-pass filtering signal.
Setting a band-pass filtering minimum frequency and a band-pass filtering maximum frequency;
determining a band-pass filtering frequency band according to the band-pass filtering minimum frequency and the band-pass filtering maximum frequency;
and performing band-pass filtering on the frequency domain signal according to the band-pass filtering frequency band to obtain the band-pass filtering signal.
The band-pass filtered signal is a frequency domain signal.
The frequency of the front surface of the crystalline lens is in a fixed range, and the frequency domain signal is subjected to band-pass filtering, so that the frequency range can be reduced, the band-pass filtered signal can be further analyzed, and the peak value of the interference signal can be accurately found.
S5: and extracting the signal maximum value of the band-pass filtering signal.
The maximum value of the signal is screened out from all signal values of the band-pass filtered signal.
S6: and judging whether the maximum signal value is greater than a first signal threshold and less than a second signal threshold, if so, judging whether the maximum signal value is greater than or equal to M times of the average signal value of the band-pass filtering signal.
The signal value of the anterior lens surface is higher than the region in front of the anterior lens surface and the region behind the anterior lens surface, the signal maximum value can be preliminarily determined by the first signal threshold value and the second signal threshold value, and the signal maximum value can be secondarily determined by M times the average value of the signals.
S7: and if the maximum value of the signal is greater than or equal to M times of the average value of the signal, the maximum value of the signal is the peak value of the interference signal.
M is greater than or equal to 1.5, when the maximum value of the signal is greater than or equal to M times of the average value of the signal, the maximum value of the signal is a peak value of the interference signal, and the peak value of the interference signal corresponds to the anterior surface of the lens of the eye interference signal.
The interference signal peak value detection method comprises the steps of obtaining an interference signal, and carrying out time domain filtering on the interference signal to obtain a time domain filtering signal, wherein the time domain filtering can filter out environmental noise in the interference signal. And carrying out amplitude limiting on the time domain filtering signal to obtain an amplitude limiting signal, wherein the amplitude limiting can remove the pulse noise in the time domain. And carrying out Fourier transform on the amplitude limiting signal to obtain a frequency domain signal. And carrying out band-pass filtering on the frequency domain signal, and carrying out secondary denoising in the frequency domain to obtain a band-pass filtering signal. And extracting the maximum value of the band-pass filtering signal, judging whether the maximum value of the signal is greater than a first signal threshold value and less than a second signal threshold value, and if so, judging whether the maximum value of the signal is greater than or equal to M times of the average value of the signal of the band-pass filtering signal. And if the maximum value of the signal is greater than or equal to M times of the average value of the signal, the maximum value of the signal is the peak value of the interference signal. The time domain filtering and the frequency domain filtering are combined for denoising, so that the interference of environmental noise and impulse noise on interference signals can be reduced, the signal maximum value of the band-pass filtering signal is compared with two signal threshold values and a signal average value in a frequency domain, and the peak value of the interference signal can be accurately distinguished.
In one embodiment, the time-domain filtering the interference signal to obtain a time-domain filtered signal includes:
and performing time domain high-pass filtering on the interference signal to obtain the time domain filtering signal.
The interference signal is time domain high pass filtered using the following equation:
wherein f (t) is the signal value of time t in the time-domain filtering signal, x (t) is the signal value of time t in the interference signal, f (t-1) is the signal value of time t-1 in the time-domain filtering signal, and N is the adjusting parameter.
x (t) is the existing signal value at time t, f (t-1) contains the historical signal values from 0 to t-1, and the adjustment parameter is used to adjust the ratio between the existing signal value and the historical signal value.
N is greater than 1, preferably N is set to 2.
The environmental noise is relatively fixed and changes slowly in the time domain, and the real signal in the time domain changes rapidly, so the environmental noise with relatively slow change can be filtered by using time domain high-pass filtering, and the interference of the environmental noise on the real signal in the interference signal is reduced.
As described above, performing time-domain filtering on the interference signal to obtain the time-domain filtered signal includes performing time-domain high-pass filtering on the interference signal to obtain the time-domain filtered signal. The environmental noise is relatively fixed and changes relatively slowly in the time domain, and the real signal in the time domain changes relatively quickly, so that the environmental noise with relatively slow change can be filtered by using time domain high-pass filtering, and the interference of the environmental noise on the real signal in the interference signal is reduced.
In an embodiment, referring to fig. 2, the band-pass filtering the frequency domain signal to obtain a band-pass filtered signal includes:
s41: a band-pass filtering minimum frequency and a band-pass filtering maximum frequency are set.
The anterior lens surface has a frequency of 5.1 × 10 in the ocular interference signal 6 To 5.3X 10 6 Thus setting the band pass filtering minimum frequency to 5.1 × 10 6 Setting the maximum frequency of the band-pass filter to 5.3 × 10 6 。
S42: and determining a band-pass filtering frequency band according to the band-pass filtering minimum frequency and the band-pass filtering maximum frequency.
Taking the minimum frequency of band-pass filtering as the minimum value of the band-pass filtering frequency band, and taking the maximum frequency of band-pass filtering as the maximum value of the band-pass filtering frequency band, wherein the band-pass filtering frequency band is 5.1 multiplied by 10 6 To 5.3X 10 6 。
S43: and performing band-pass filtering on the frequency domain signal according to the band-pass filtering frequency band to obtain the band-pass filtering signal.
And filtering the frequency domain signal with the frequency less than the minimum value of the band-pass filtering frequency band, and filtering the frequency domain signal with the frequency more than the maximum value of the band-pass filtering frequency band to obtain the band-pass filtering signal.
The frequency of the front surface of the crystalline lens is in a fixed range, and the frequency domain signal is subjected to band-pass filtering, so that the frequency range can be reduced, the band-pass filtered signal can be further analyzed, and the peak value of the interference signal can be accurately found.
As described above, the band-pass filtering is performed on the frequency domain signal to obtain a band-pass filtered signal, which includes setting a band-pass filtering minimum frequency and a band-pass filtering maximum frequency, and determining a band-pass filtering frequency band according to the band-pass filtering minimum frequency and the band-pass filtering maximum frequency. And performing band-pass filtering on the frequency domain signal according to the band-pass filtering frequency band to obtain the band-pass filtering signal. The frequency of the front surface of the lens is in a fixed range, and the frequency domain signal is subjected to band-pass filtering, so that the frequency range can be reduced, the band-pass filtered signal can be further analyzed, and the peak value of the interference signal can be accurately found.
In one embodiment, said limiting said time-domain filtered signal to obtain a limited signal comprises:
and reducing all signal values which are larger than a third signal threshold value in the time domain filtering signal to preset signal values to obtain the amplitude limiting signal.
The time-domain filtering signal comprises a real signal, impact noise and a very small amount of environmental noise, the signal value of the impact noise is very large, but the duration time is very short, so that a third signal threshold value is set, the signal value which is larger than the third signal threshold value in the time-domain filtering signal is reduced to the third signal threshold value, and the impact noise can be removed.
The time-domain filtered signal is a signal sequence with time on the horizontal axis and signal strength on the vertical axis.
The predetermined signal value may be the same as the third signal threshold value or may be less than the third signal threshold value.
And the amplitude of the time-domain filtering signal is limited, so that the impact noise in the time-domain filtering signal can be removed, and the signal value corresponding to the impact noise is prevented from being judged as the peak value of the interference signal by mistake.
As described above, the amplitude limiting is performed on the time-domain filtered signal, and obtaining the amplitude-limited signal includes reducing all signal values greater than the third signal threshold value in the time-domain filtered signal to a preset signal value, so as to obtain the amplitude-limited signal. The time-domain filtering signal is limited, so that the impact noise in the time-domain filtering signal can be removed, and the signal value corresponding to the impact noise is prevented from being judged as the peak value of the interference signal by mistake.
In one embodiment, referring to fig. 3, after the determining whether the maximum signal value is greater than the first signal threshold and less than the second signal threshold, the method further includes:
and S71': if the maximum signal value is less than or equal to the first signal threshold, the maximum signal value is not the interference signal peak value.
And setting a first signal threshold value and a second signal threshold value according to a statistical result obtained by a plurality of experiments, wherein the peak value of the interference signal is greater than the first signal threshold value.
S72': if the signal maximum is less than or equal to the second signal threshold, the signal maximum is not the interference signal peak.
The interference signal peak is less than the second signal threshold.
A preliminary determination of the signal maximum can be made by means of the first signal threshold and the second signal threshold.
As described above, after determining whether the maximum signal value is greater than the first signal threshold and less than the second signal threshold, the method further includes that if the maximum signal value is less than or equal to the first signal threshold, the maximum signal value is not the interference signal peak. If the signal maximum is less than or equal to the second signal threshold, the signal maximum is not an interference signal peak. A preliminary determination of the signal maximum can be made by means of the first signal threshold and the second signal threshold.
In one embodiment, after determining whether the maximum value of the signal is greater than M times of the average value of the signals of the band-pass filtered signal, the method further includes:
and S73': and if the maximum value of the signal is smaller than M times of the average value of the signal of the band-pass filtering signal, the maximum value of the signal is not the peak value of the interference signal.
The signal maximum is compared to M times the signal average and is not an interference signal peak when the signal maximum is less than M times the signal average.
M is greater than or equal to 1.5, preferably, M is set to 2.
The maximum value of the signal can be judged twice through M times of the average value of the signal, and the peak value of the interference signal can be more accurately distinguished.
As described above, after determining whether the maximum value of the signal is greater than M times of the average value of the signal of the band-pass filtered signal, the method further includes that if the maximum value of the signal is less than M times of the average value of the signal of the band-pass filtered signal, the maximum value of the signal is not the peak value of the interference signal. The maximum value of the signal can be judged twice through M times of the average value of the signal, and the peak value of the interference signal can be more accurately distinguished.
Referring to fig. 4, it is a schematic block diagram of a structure of an interference signal peak value detection apparatus according to the present application, and the apparatus includes:
the time domain filtering module 10 is configured to obtain an interference signal, and perform time domain filtering on the interference signal to obtain a time domain filtering signal;
the amplitude limiting module 20 is configured to perform amplitude limiting on the time-domain filtered signal to obtain an amplitude-limited signal;
a fourier transform module 30, configured to perform fourier transform on the amplitude-limited signal to obtain a frequency-domain signal;
a band-pass filtering module 40, configured to perform band-pass filtering on the frequency domain signal to obtain a band-pass filtered signal;
a signal maximum value extracting module 50, configured to extract a signal maximum value of the band-pass filtered signal;
a maximum signal value determining module 60, configured to determine whether the maximum signal value is greater than a first signal threshold and smaller than a second signal threshold, and if so, determine whether the maximum signal value is greater than or equal to M times of a signal average value of the band-pass filtering signal;
an interference signal peak value determining module 70, configured to determine that the maximum value of the signal is the peak value of the interference signal if the maximum value of the signal is greater than or equal to M times of the average value of the signal.
In one embodiment, the time domain filtering module 10 further comprises:
and the time domain filtering unit is used for carrying out time domain high-pass filtering on the interference signal to obtain the time domain filtering signal.
In one embodiment, the band-pass filtering module 40 further includes:
a frequency setting unit for setting a band-pass filtering minimum frequency and a band-pass filtering maximum frequency;
a band-pass filtering frequency band determining unit, configured to determine a band-pass filtering frequency band according to the band-pass filtering minimum frequency and the band-pass filtering maximum frequency;
and the band-pass filtering unit is used for performing band-pass filtering on the frequency domain signal according to the band-pass filtering frequency band to obtain the band-pass filtering signal.
In one embodiment, the clipping module 20 further comprises:
and the amplitude limiting unit is used for reducing all signal values which are greater than a third signal threshold value in the time-domain filtering signal to preset signal values to obtain the amplitude limiting signal.
In one embodiment, the interference signal peak detection apparatus further includes:
a first interference signal peak value judging unit, configured to determine that the maximum signal value is not the interference signal peak value if the maximum signal value is smaller than or equal to the first signal threshold value;
a second interference signal peak value judging unit, configured to determine that the maximum value of the signal is not the interference signal peak value if the maximum value of the signal is smaller than or equal to the second signal threshold value.
In one embodiment, the interference signal peak detection apparatus further includes:
and the third interference signal peak value judging unit is used for judging that the maximum value of the signal is not the interference signal peak value if the maximum value of the signal is smaller than M times of the average value of the signals of the band-pass filtering signals.
Referring to fig. 5, a computer device, which may be a server and whose internal structure may be as shown in fig. 5, is also provided in the embodiment of the present application. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. The computer designed processor is used to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing signal maxima etc. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement the interference signal peak detection method. Those skilled in the art will appreciate that the architecture shown in fig. 5 is only a block diagram of some of the structures associated with the present solution and is not intended to limit the scope of the present solution as applied to computer devices.
An embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored, which, when executed by a processor, implements the interference signal peak detection method. It is to be understood that the computer-readable storage medium in the present embodiment may be a volatile-readable storage medium or a non-volatile-readable storage medium.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium provided herein and used in the embodiments may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (SSRDRAM), enhanced SDRAM (ESDRAM), synchronous Link (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct Rambus Dynamic RAM (DRDRAM), and Rambus Dynamic RAM (RDRAM), among others.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method 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, apparatus, article, or method. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of another identical element in a process, apparatus, article, or method comprising the element.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.
Claims (10)
1. A method for peak detection of an interference signal, comprising:
obtaining an interference signal, and performing time domain filtering on the interference signal to obtain a time domain filtering signal;
carrying out amplitude limiting on the time domain filtering signal to obtain an amplitude limiting signal;
carrying out Fourier transform on the amplitude limiting signal to obtain a frequency domain signal;
performing band-pass filtering on the frequency domain signal to obtain a band-pass filtering signal;
extracting a signal maximum value of the band-pass filtering signal;
judging whether the maximum value of the signal is greater than a first signal threshold value and less than a second signal threshold value, if so, judging whether the maximum value of the signal is greater than or equal to M times of the average value of the signal of the band-pass filtering signal;
and if the maximum value of the signal is greater than or equal to M times of the average value of the signal, the maximum value of the signal is the peak value of the interference signal.
2. The method as claimed in claim 1, wherein the step of performing time-domain filtering on the interference signal to obtain a time-domain filtered signal comprises:
and carrying out time domain high-pass filtering on the interference signal to obtain the time domain filtering signal.
3. The method of claim 1, wherein the step of performing band-pass filtering on the frequency domain signal to obtain a band-pass filtered signal comprises:
setting a band-pass filtering minimum frequency and a band-pass filtering maximum frequency;
determining a band-pass filtering frequency band according to the band-pass filtering minimum frequency and the band-pass filtering maximum frequency;
and performing band-pass filtering on the frequency domain signal according to the band-pass filtering frequency band to obtain the band-pass filtering signal.
4. The method of claim 1, wherein the clipping the time-domain filtered signal to obtain a clipped signal comprises:
and reducing all signal values which are larger than a third signal threshold value in the time-domain filtering signal to preset signal values to obtain the amplitude limiting signal.
5. The method as claimed in claim 1, wherein after determining whether the maximum value is greater than the first signal threshold and less than the second signal threshold, the method further comprises:
if the maximum value of the signal is less than or equal to the first signal threshold value, the maximum value of the signal is not the peak value of the interference signal;
if the signal maximum is less than or equal to the second signal threshold, the signal maximum is not the interference signal peak.
6. The method of claim 1, wherein after determining whether the maximum value is greater than M times the average value of the band-pass filtered signal, the method further comprises:
and if the maximum value of the signal is smaller than M times of the average value of the signals of the band-pass filtering signals, the maximum value of the signal is not the peak value of the interference signal.
7. The method of claim 1, wherein M is greater than or equal to 1.5.
8. An interference signal peak detection device, comprising:
the time domain filtering module is used for acquiring interference signals and performing time domain filtering on the interference signals to obtain time domain filtering signals;
the amplitude limiting module is used for carrying out amplitude limiting on the time domain filtering signal to obtain an amplitude limiting signal;
the Fourier transform module is used for carrying out Fourier transform on the amplitude limiting signal to obtain a frequency domain signal;
the band-pass filtering module is used for performing band-pass filtering on the frequency domain signal to obtain a band-pass filtering signal;
the signal maximum value extraction module is used for extracting the signal maximum value of the band-pass filtering signal;
the signal maximum value judging module is used for judging whether the signal maximum value is larger than a first signal threshold value and smaller than a second signal threshold value or not, and if so, judging whether the signal maximum value is larger than or equal to M times of the signal average value of the band-pass filtering signal or not;
and the interference signal peak value judging module is used for judging that the maximum value of the signal is the peak value of the interference signal if the maximum value of the signal is more than or equal to M times of the average value of the signal.
9. A computer device comprising a memory and a processor, the memory having stored therein a computer program, characterized in that the processor, when executing the computer program, implements the steps of the interference signal peak detection method according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the interference signal peak detection method according to any one of claims 1 to 7.
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