NDLI: Nonlinear adaptive prediction of nonstationary signals with application to speech coding

Content Provider	IEEE Xplore Digital Library
Author	Ya-Chin Chen Stathaki, T. Constantinides, A.
Copyright Year	1997
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK (Ya-Chin Chen)
Abstract	The purpose of this contribution is to present a new approach for the prediction of speech signals that is appropriate to speech coding. The procedure is based upon the principles of blind equalisation. In an earlier publication we examined these principles from the prediction point of view as a general method. The present contribution examines the approach in relation to speech signal representation for coding and compression. The method outlined in this contribution offers significant advantages compared to the standard prediction methods. This is because the signal estimation is carried out on a sample by sample basis, it needs no estimation of the covariance matrix or some other long term statistical attributes, it makes no assumption on a minimum phase vocal tract transfer function, and hence, it is faithful to the nonstationarities in the analysed signal. The method can be seen as mapping a given signal into a set of signals of increased correlational properties, which in turn may be so mapped until the signals exhibit piecewise constant behaviour. At this stage they are easily modelled and the reverse process can be put into effect for the original signal reconstruction. Speech signals can be rendered piecewise constant approximately after some signal decompositions. Then, the percentage error of predicted value is involved to examine if the decomposition stops. Examples illustrating these principles are included.
Starting Page	125
Ending Page	130
File Size	300250
Page Count	6
File Format	PDF
ISBN	0780337808
DOI	10.1109/MMSP.1997.602624
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech coding Blind equalizers Signal representations Prediction methods Phase estimation Covariance matrix Transfer functions Signal analysis Signal mapping Signal reconstruction
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Endomorphic signal modelling with application to speech signal representation and coding

A weighted linear prediction approach for the blind CDMA forward link channel estimation

Blind adaptive MMSE equalization using prediction-based cross-correlation vector estimation

Blind equalization methods in colored noise field

A principal component approach for adaptive ARMA model identification

Blind Adaptive Equalization Method without Channel Order Estimation

A blind equalizer for nonstationary discrete-valued signals

An adaptive bit allocation scheme for coding of speech signals using partial sets of orthogonal functions

Adaptive AM–FM Signal Decomposition With Application to Speech Analysis

Nonlinear adaptive prediction of nonstationary signals with application to speech coding

Similar Documents

Endomorphic signal modelling with application to speech signal representation and coding

A weighted linear prediction approach for the blind CDMA forward link channel estimation

Blind adaptive MMSE equalization using prediction-based cross-correlation vector estimation

Blind equalization methods in colored noise field

A principal component approach for adaptive ARMA model identification

Blind Adaptive Equalization Method without Channel Order Estimation

A blind equalizer for nonstationary discrete-valued signals

An adaptive bit allocation scheme for coding of speech signals using partial sets of orthogonal functions

Adaptive AM–FM Signal Decomposition With Application to Speech Analysis

Nonlinear adaptive prediction of nonstationary signals with application to speech coding