WO2002065157A3 - Empirical mode decomposition for analyzing acoustical signals - Google Patents

Empirical mode decomposition for analyzing acoustical signals Download PDF

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Publication number
WO2002065157A3
WO2002065157A3 PCT/US2002/001250 US0201250W WO02065157A3 WO 2002065157 A3 WO2002065157 A3 WO 2002065157A3 US 0201250 W US0201250 W US 0201250W WO 02065157 A3 WO02065157 A3 WO 02065157A3
Authority
WO
WIPO (PCT)
Prior art keywords
acoustical
signal
signals
acoustical signals
imfs
Prior art date
Application number
PCT/US2002/001250
Other languages
French (fr)
Other versions
WO2002065157A2 (en
Inventor
Norden E Huang
Original Assignee
Nasa
Norden E Huang
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nasa, Norden E Huang filed Critical Nasa
Priority to AU2002253865A priority Critical patent/AU2002253865A1/en
Publication of WO2002065157A2 publication Critical patent/WO2002065157A2/en
Publication of WO2002065157A3 publication Critical patent/WO2002065157A3/en

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Classifications

    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Processing of the speech or voice signal 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
    • G10L21/0208—Noise filtering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G06F17/141—Discrete Fourier transforms
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
    • G10L19/02—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using spectral analysis, e.g. transform vocoders or subband vocoders
    • G10L19/0212—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using spectral analysis, e.g. transform vocoders or subband vocoders using orthogonal transformation
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/20—Speech recognition techniques specially adapted for robustness in adverse environments, e.g. in noise, of stress induced speech

Abstract

The present invention discloses a computer (410) implemented signal analysis method through, the Hilbert-Huang Transformation 'HHT' for analysing acoustical signals (10), which are assumed lo be nonlinear and nonsiaiionary. The Empirical Decomposition Method 'EMD' and the Hubert Spectral Analysis 'HSA' are used to obtain the HHT. Essentially, me acoustical signal will bo decomposed inio the Intrinsic Mode Function Compoucnis 'IMFs'. Once the invention decomposes the acoustic signal into its constituting components, all operations such as analysing, identifying, and removing unwanted signals can be performed on these components. Upon transform jjig the IMFs inio Hubert spectrum, the acoustical signal may be compared with other acoustical signals.
PCT/US2002/001250 2001-02-14 2002-02-13 Empirical mode decomposition for analyzing acoustical signals WO2002065157A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AU2002253865A AU2002253865A1 (en) 2001-02-14 2002-02-13 Empirical mode decomposition for analyzing acoustical signals

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US26842201P 2001-02-14 2001-02-14
US60/266,422 2001-02-14

Publications (2)

Publication Number Publication Date
WO2002065157A2 WO2002065157A2 (en) 2002-08-22
WO2002065157A3 true WO2002065157A3 (en) 2007-10-25

Family

ID=27623176

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Application Number Title Priority Date Filing Date
PCT/US2002/001250 WO2002065157A2 (en) 2001-02-14 2002-02-13 Empirical mode decomposition for analyzing acoustical signals

Country Status (2)

Country Link
AU (1) AU2002253865A1 (en)
WO (1) WO2002065157A2 (en)

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RU2459254C2 (en) * 2007-04-27 2012-08-20 Сименс Акциенгезелльшафт Method for computer-aided training of one or more neural networks
RU2536108C2 (en) * 2013-02-05 2014-12-20 Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования "Пензенский государственный университет" (ФГБОУ ВПО "Пензенский государственный университет" Method and apparatus for digital spectral-time analysis of signals
CN106443801A (en) * 2016-08-01 2017-02-22 湖南文理学院 Time frequency analysis method of magnetotelluric impedance estimation
CN106707341A (en) * 2017-03-16 2017-05-24 西南石油大学 High-resolution sequence stratigraphic division method based on EEMD (Ensemble Empirical Mode Decomposition)
CN107229597A (en) * 2017-05-31 2017-10-03 成都理工大学 Synchronous extruding generalized S-transform signal Time-frequency Decomposition and reconstructing method
CN107991706B (en) * 2017-11-24 2020-07-31 华北科技学院 Coal seam hydraulic fracturing microseismic signal combined noise reduction method based on wavelet packet multiple threshold and improved empirical mode decomposition
CN109117784B (en) * 2018-08-08 2024-02-02 上海海事大学 Ship electric propulsion system fault diagnosis method for improving empirical mode decomposition
CN109784661A (en) * 2018-12-19 2019-05-21 华北电力大学（保定） A kind of thermal process steady state detecting method for use and system
CN110187320B (en) * 2019-05-30 2021-07-20 六盘水三力达科技有限公司 Improved radar signal time-frequency analysis method
CN112083495B (en) * 2020-10-15 2022-05-20 中国石油化工股份有限公司 Method for improving resolution ratio based on variation mode decomposition synchronous compression wavelet transformation
CN113325472A (en) * 2021-05-21 2021-08-31 成都理工大学 Seismic wave field sub-component extraction method based on principal component analysis
CN115017940B (en) * 2022-05-11 2024-04-16 西北工业大学 Target detection method based on empirical mode decomposition and 1 (1/2) spectrum analysis
CN115356108B (en) * 2022-10-10 2023-02-10 成都阿普奇科技股份有限公司 Method and device for diagnosing mechanical fault of modulation high-order horizontal extrusion transformation
CN117040983B (en) * 2023-09-28 2023-12-22 联通(江苏)产业互联网有限公司 Data sharing method and system based on big data analysis
CN117235446B (en) * 2023-11-09 2024-01-26 北京豪能汇新能源科技有限公司 Automatic change power station data intelligent management system
CN117330816B (en) * 2023-12-01 2024-01-26 南京中旭电子科技有限公司 Monitoring data optimization method for Hall current sensor

Citations (5)

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US4289141A (en) * 1976-08-19 1981-09-15 Cormier Cardiac Systems, Inc. Method and apparatus for extracting systolic valvular events from heart sounds
US4686655A (en) * 1970-12-28 1987-08-11 Hyatt Gilbert P Filtering system for processing signature signals
US4944036A (en) * 1970-12-28 1990-07-24 Hyatt Gilbert P Signature filter system
US6006175A (en) * 1996-02-06 1999-12-21 The Regents Of The University Of California Methods and apparatus for non-acoustic speech characterization and recognition
US6087652A (en) * 1997-05-01 2000-07-11 Hughes Electronics Corporation Contactless acoustic sensing system with detector array scanning and self-calibration

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4686655A (en) * 1970-12-28 1987-08-11 Hyatt Gilbert P Filtering system for processing signature signals
US4944036A (en) * 1970-12-28 1990-07-24 Hyatt Gilbert P Signature filter system
US4289141A (en) * 1976-08-19 1981-09-15 Cormier Cardiac Systems, Inc. Method and apparatus for extracting systolic valvular events from heart sounds
US6006175A (en) * 1996-02-06 1999-12-21 The Regents Of The University Of California Methods and apparatus for non-acoustic speech characterization and recognition
US6087652A (en) * 1997-05-01 2000-07-11 Hughes Electronics Corporation Contactless acoustic sensing system with detector array scanning and self-calibration

Also Published As

Publication number Publication date
AU2002253865A8 (en) 2002-08-28
WO2002065157A2 (en) 2002-08-22
AU2002253865A1 (en) 2002-08-28

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