NDLI: Endomorphic modelling for two-dimensional time-varying autoregressive model signals

Content Provider	IEEE Xplore Digital Library
Author	Lee, S. Stathaki, T.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Imperial Coll. London (Lee, S.; Stathaki, T.)
Abstract	Physical signals are often non-stationary. We assume that images are non-stationary and each pixel is the output of a different set of two-dimensional autoregressive (AR) model coefficients; therefore, texture cannot be characterised by applying AR modelling techniques to the entire image. A multistage modelling technique, which appears in the literature as "endomorphic modelling", is applied to this kind of signal. The signal is divided into sub-sets of samples and each sub-set is modelled using an AR model. A new image is formed using the same AR model coefficient estimated from different blocks, then the new image is re-modelled using AR models again. This process ends when the variance of the estimated parameters is sufficiently small. The simulation results show that the variances obtained from the estimated coefficients at the second stage are much smaller than the ones from the first stage
Starting Page	1451
Ending Page	1454
File Size	261984
Page Count	4
File Format	PDF
ISBN	0780386035
DOI	10.1109/ICME.2004.1394508
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-27
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mathematical model Signal processing Brain modeling Biomedical signal processing Parameter estimation Radar signal processing Speech analysis Differential equations Polynomials Educational institutions
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

Time-varying autoregressive modeling of a class of nonstationary signals

A new method for 2-D AR model parameter estimation

Identification of Time-Varying Autoregressive Systems Using Maximum a Posteriori Estimation

Adaptive time-varying parametric modeling

Mathematical analysis of speech dereverberation based on time-varying Gaussian source model: Its solution and convergence characteristics

Two dimensional Volterra parameter estimation using a zero tolerance optimisation formulation

Time varying lattices and autoregressive models : Parameter estimation

Stationarity assessment with time-varying autoregressive modeling

Frequency-varying sinusoidal modeling of speech

Endomorphic modelling for two-dimensional time-varying autoregressive model signals

Similar Documents

Time-varying autoregressive modeling of a class of nonstationary signals

A new method for 2-D AR model parameter estimation

Identification of Time-Varying Autoregressive Systems Using Maximum a Posteriori Estimation

Adaptive time-varying parametric modeling

Mathematical analysis of speech dereverberation based on time-varying Gaussian source model: Its solution and convergence characteristics

Two dimensional Volterra parameter estimation using a zero tolerance optimisation formulation

Time varying lattices and autoregressive models : Parameter estimation

Stationarity assessment with time-varying autoregressive modeling

Frequency-varying sinusoidal modeling of speech

Endomorphic modelling for two-dimensional time-varying autoregressive model signals