WO2014096236A3 - Signal adaptive fir/iir predictors for minimizing entropy - Google Patents

Signal adaptive fir/iir predictors for minimizing entropy Download PDF

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Publication number
WO2014096236A3
WO2014096236A3 PCT/EP2013/077461 EP2013077461W WO2014096236A3 WO 2014096236 A3 WO2014096236 A3 WO 2014096236A3 EP 2013077461 W EP2013077461 W EP 2013077461W WO 2014096236 A3 WO2014096236 A3 WO 2014096236A3
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WO
WIPO (PCT)
Prior art keywords
filter
fir
transform
frame
predictors
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PCT/EP2013/077461
Other languages
French (fr)
Other versions
WO2014096236A2 (en
Inventor
Arijit Biswas
Original Assignee
Dolby International Ab
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 Dolby International Ab filed Critical Dolby International Ab
Priority to US14/649,477 priority Critical patent/US9548056B2/en
Publication of WO2014096236A2 publication Critical patent/WO2014096236A2/en
Publication of WO2014096236A3 publication Critical patent/WO2014096236A3/en

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    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00Speech 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
    • G10L19/0017Lossless audio signal coding; Perfect reconstruction of coded audio signal by transmission of coding error
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00Speech 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
    • G10L19/04Speech 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 predictive techniques

Abstract

The present document relates to coding. In particular, the present document relates to coding using linear prediction in combination with entropy encoding. A method (600) for determining a general prediction filter for a frame of an input signal (111) is described. The z-transform of the general prediction filter comprises an approximation to the z-transform of a finite impulse response, referred to as FIR, filter with the z variable of the FIR filter being replaced by the z-transform of an allpass filter. The FIR filter comprises a plurality of FIR coefficients (412). The allpass filter exhibits a pole defined by an adjustable pole parameter. The method (600) comprises determining the pole parameter and the plurality of FIR coefficients, such that an entropy of a frame of a prediction error signal (414) which is derived from the frame of the input signal (111) using the general prediction filter defined by the pole parameter and the plurality of FIR coefficients (412) is reduced.
PCT/EP2013/077461 2012-12-19 2013-12-19 Signal adaptive fir/iir predictors for minimizing entropy WO2014096236A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US14/649,477 US9548056B2 (en) 2012-12-19 2013-12-19 Signal adaptive FIR/IIR predictors for minimizing entropy

Applications Claiming Priority (2)

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US201261739379P 2012-12-19 2012-12-19
US61/739,379 2012-12-19

Publications (2)

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WO2014096236A2 WO2014096236A2 (en) 2014-06-26
WO2014096236A3 true WO2014096236A3 (en) 2014-08-28

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WO (1) WO2014096236A2 (en)

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CN110850162B (en) * 2019-11-22 2020-09-29 西南交通大学 Frequency estimation method of three-phase power system based on error correlation entropy

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CN108616373B (en) * 2016-12-12 2021-06-18 中国科学院深圳先进技术研究院 Spectral entropy prediction method and system
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Publication number Publication date
US9548056B2 (en) 2017-01-17
US20150317985A1 (en) 2015-11-05
WO2014096236A2 (en) 2014-06-26

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