DocumentCode
3074622
Title
Image coding over real/complex fields: parameters estimation of nearly nonstationary AR(p) models
Author
Rozic, Nikola
Author_Institution
Dept. of Commun. & Inf. Syst., Univ. of Split, Croatia
fYear
1997
fDate
29 Jun-4 Jul 1997
Firstpage
449
Abstract
The AR parameter estimation problem is considered under noisy conditions concerned with the decoding of BCH codes over real/-complex fields. Autoregressive parameter distribution based on the parameter covariance matrix is analyzed. This distribution defines the code ability to correct the impulse noise in spectral coefficients corrupted by white noise
Keywords
BCH codes; autoregressive processes; covariance matrices; decoding; image coding; parameter estimation; spectral analysis; white noise; AR parameter estimation problem; BCH codes; autoregressive parameter distribution; complex fields; decoding; image coding; impulse noise; nearly nonstationary AR(p) models; noisy conditions; parameter covariance matrix; real fields; spectral coefficients; white noise corruption; Covariance matrix; Decoding; Discrete Fourier transforms; Discrete cosine transforms; Equations; Frequency domain analysis; Galois fields; Image coding; Noise level; Parameter estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location
Ulm
Print_ISBN
0-7803-3956-8
Type
conf
DOI
10.1109/ISIT.1997.613386
Filename
613386
Link To Document