CN105825867A - Whale cry signal denoising device based on empirical mode decomposition - Google Patents
Whale cry signal denoising device based on empirical mode decomposition Download PDFInfo
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- CN105825867A CN105825867A CN201610285821.3A CN201610285821A CN105825867A CN 105825867 A CN105825867 A CN 105825867A CN 201610285821 A CN201610285821 A CN 201610285821A CN 105825867 A CN105825867 A CN 105825867A
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- 241000283153 Cetacea Species 0.000 title claims abstract description 82
- 238000000354 decomposition reaction Methods 0.000 title claims abstract description 31
- 230000006870 function Effects 0.000 claims description 14
- 238000000034 method Methods 0.000 claims description 12
- 238000001514 detection method Methods 0.000 abstract description 3
- 230000007812 deficiency Effects 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 1
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0272—Voice signal separating
- G10L21/028—Voice signal separating using properties of sound source
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Abstract
The invention belongs to the field of underwater sound detection, and aims to reduce influence of sea noise on signals, and restore more real original whale cry signals. The technical scheme adopted by the invention is that the structure of the whale cry signal denoising device based on empirical mode decomposition includes: a whale sound database storage used for storing collected natural whale cries; a whale cry pulse intercepting device used for intercepting a noise signal between two adjacent cry pulses from the whale sound database storage; an empirical mode decomposer used for performing empirical mode decomposition processing on a whale cry pulse and the noise signal intercepted before the whale cry pulse; a noise processor used for obtaining a denoised whale sound pulse; and a whale sound database storage used for storing all denoised whale cry pulses processed by the noise processor to form a denoised whale sound database. The whale cry signal denoising device is mainly applied to underwater sound detection occasions.
Description
Technical field
The invention belongs to Underwater Detection field, be based particularly on the cetacean cry signal denoising device of empirical mode decomposition.
Background technology
The various noises that the whale sound that whale sound collecting device collects is mixed with in ocean, in order to effectively remove effect of noise, obtain real whale acoustical signal as far as possible, the present invention is based on empirical mode decomposition, cetacean cry signal is processed, to reduce the impact of seanoise signal, obtain real whale acoustical signal as far as possible.
Summary of the invention
For overcoming the deficiencies in the prior art, it is desirable to provide a kind of cetacean based on empirical mode decomposition cry signal antinoise method and device, reduce the seanoise impact on signal, restore the most real original cetacean cry signal.The technical solution used in the present invention is, cetacean based on empirical mode decomposition cry signal denoising device, and structure is:
Whale sound archival memory, for storing the natural cetacean cry of collection;
Whale cry pulse interceptor, for intercepting out the noise signal between two adjacent cry pulses from whale sound archival memory;
Empirical mode decomposition device, for respectively the noise signal intercepted before whale cry pulse and the cry pulse of this whale being carried out empirical mode decomposition process:
After the noise signal intercepted before whale cry pulse is decomposed by empirical mode decomposition device, obtain each rank intrinsic mode function component and be respectively IMFj(j=1,2 ..., M);
Process specifically for respectively the noise signal intercepted before whale cry pulse and the cry pulse of this whale being carried out empirical mode decomposition: after whale cry pulse is decomposed by empirical mode decomposition device, obtain each rank intrinsic mode function component and be respectively IMFi(i=1,2 ..., N);
Noise processor, for being set to zero by close intrinsic mode function component, it may be assumed that by IMFi(i=1,2 ..., N) in IMFj(j=1,2 ..., M) close intrinsic mode function component is set to zero, obtains IMFk(k=1,2 ..., K);And with IMFk(k=1,2 ..., K) carry out reconstruction signal, obtain the cry pulse of the whale after denoising;
Whale sound archival memory, is stored together the whale sound data base of formation denoising for the whale after all denoisings after noise processor processes is called pulse.
Whale sound archival memory, whale cry pulse interceptor, empirical mode decomposition device, noise processor, whale sound archival memory are integrated on field programmable gate array (FPGA) chip, or are discrete curing circuit module.
The feature of the present invention and providing the benefit that:
A kind of cetacean based on empirical mode decomposition cry signal antinoise method and device are provided, reduce the seanoise impact on signal, restore the most real original cetacean cry signal.
Accompanying drawing illustrates:
Fig. 1 illustrates that heretofore described one section whale calls data sequence.
Fig. 2 illustrates heretofore described cetacean based on empirical mode decomposition cry signal antinoise method flow process.
In Fig. 1: 1 calls pulse for whale;2 call pulse for whale;3 is seanoise;
In Fig. 2: 4 is whale sound data base;5 is cry pulse interceptor;6 is noise interceptor;7 is empirical mode decomposition device;8 is noise processor;The whale sound data base that 9 is denoising.
Detailed description of the invention
For overcoming the deficiencies in the prior art, the present invention provides a kind of cetacean based on empirical mode decomposition cry signal antinoise method and device.
The present invention adopts the technical scheme that, a kind of cetacean based on empirical mode decomposition cry signal antinoise method and device, its realize device as in figure 2 it is shown, its to realize process as follows:
First, the cetacean collected cry data are deposited in whale sound data base 4;
Further, owing to most cetacean cry is all made up of a series of cry train of pulse, as in figure 2 it is shown, so, from whale sound data base, the whale cry pulse 1 and 2 in whale cry pulse, such as Fig. 1 is intercepted out by cry pulse interceptor 5;
Further, intercept out the noise signal between two adjacent cry pulses by noise interceptor 6, such as the noise signal 3 in Fig. 1;
Further, respectively the noise signal intercepted before whale cry pulse and the cry pulse of this whale is carried out empirical mode decomposition process by empirical mode decomposition device 7;
Further, it is assumed that after whale cry pulse is decomposed by empirical mode decomposition device 7, obtain each rank intrinsic mode function component and be respectively IMFi(i=1,2 ..., N);
Further, it is assumed that after seanoise 3 is decomposed by empirical mode decomposition device 7, obtain each rank intrinsic mode function component and be respectively IMFj(j=1,2 ..., M);
Further, because whale cry pulse is whale cry and the superposing, simultaneously of noise, it is contemplated that noise signal is generally high-frequency signal, therefore, IMFi(i=1,2 ..., N) should include high frequency intrinsic mode function component and low frequency intrinsic mode function component simultaneously, and IMFj(j=1,2 ..., M) in should consist predominantly of high frequency intrinsic mode function component;
Further, based on above-mentioned principle, by noise processor 8 by IMFi(i=1,2 ..., N) in IMFj(j=1,2 ..., M) close intrinsic mode function component is set to zero, obtains IMFk(k=1,2 ..., K);
Further, with IMFk(k=1,2 ..., K) carry out reconstruction signal, obtain the cry pulse of the whale after denoising;
Further, the whale after all denoisings is called pulse and be stored together the whale sound data base forming denoising.
Whale sound archival memory, whale cry pulse interceptor, empirical mode decomposition device, noise processor, whale sound archival memory are integrated on field programmable gate array (FPGA) chip, or are discrete curing circuit module.
Claims (2)
1. cetacean based on an empirical mode decomposition cry signal denoising device, is characterized in that, structure is:
Whale sound archival memory, for storing the natural cetacean cry of collection;
Whale cry pulse interceptor, for intercepting out the noise signal between two adjacent cry pulses from whale sound archival memory;
Empirical mode decomposition device, for respectively the noise signal intercepted before whale cry pulse and the cry pulse of this whale being carried out empirical mode decomposition process:
After whale cry pulse is decomposed by empirical mode decomposition device, obtain each rank intrinsic mode function component and be respectively IMFi, i=1,2 ..., N;
After the noise signal intercepted before whale cry pulse is decomposed by empirical mode decomposition device, obtain each rank intrinsic mode function component and be respectively IMFj, j=1,2 ..., M;
Noise processor, for being set to zero by close intrinsic mode function component, it may be assumed that by IMFiIn with IMFjClose intrinsic mode function component is set to zero, wherein, i=1,2 ..., N;J=1,2 ..., M;Obtain IMFk, and with IMFkCarry out reconstruction signal, k=1,2 ..., K;Obtain the cry pulse of the whale after denoising.
2. cetacean based on empirical mode decomposition cry signal denoising device as claimed in claim 1, it is characterized in that, whale sound archival memory, whale cry pulse interceptor, empirical mode decomposition device, noise processor, whale sound archival memory are integrated on on-site programmable gate array FPGA chip, or are discrete curing circuit module.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN106448693A (en) * | 2016-09-05 | 2017-02-22 | 华为技术有限公司 | Speech signal processing method and apparatus |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100290316A1 (en) * | 2007-09-03 | 2010-11-18 | Universite Du Sud Toulon Var | Real-time robust method for determining the trajectory of one or more cetaceans by means of passive acoustics, using a laptop computer |
WO2012025694A1 (en) * | 2010-08-27 | 2012-03-01 | France Telecom | Data processing for denoising a signal |
CN103106903A (en) * | 2013-01-11 | 2013-05-15 | 太原科技大学 | Single channel blind source separation method |
CN104765979A (en) * | 2015-04-28 | 2015-07-08 | 南京信息工程大学 | Sea clutter denoising method based on integrated experience mode decomposition |
CN105044725A (en) * | 2015-07-27 | 2015-11-11 | 天津大学 | Underwater target hidden distance measurement method and device by utilizing sound emitted from sperm whale |
-
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Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100290316A1 (en) * | 2007-09-03 | 2010-11-18 | Universite Du Sud Toulon Var | Real-time robust method for determining the trajectory of one or more cetaceans by means of passive acoustics, using a laptop computer |
WO2012025694A1 (en) * | 2010-08-27 | 2012-03-01 | France Telecom | Data processing for denoising a signal |
CN103106903A (en) * | 2013-01-11 | 2013-05-15 | 太原科技大学 | Single channel blind source separation method |
CN104765979A (en) * | 2015-04-28 | 2015-07-08 | 南京信息工程大学 | Sea clutter denoising method based on integrated experience mode decomposition |
CN105044725A (en) * | 2015-07-27 | 2015-11-11 | 天津大学 | Underwater target hidden distance measurement method and device by utilizing sound emitted from sperm whale |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106448693A (en) * | 2016-09-05 | 2017-02-22 | 华为技术有限公司 | Speech signal processing method and apparatus |
CN106448693B (en) * | 2016-09-05 | 2019-11-29 | 华为技术有限公司 | A kind of audio signal processing method and device |
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