Naslov
Least Squares Based Decoding of BCH Codes in Image Applications

Autori
Rožić, Nikola ; Begušić, Dinko ; Ursić, Jurica

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the International Conference on Acoustics, Speech and Signal Processing ICASSP '99 / Rodriguez, Jeffrey - Piscataway (NJ) : Institute of Electrical and Electronics Engineers (IEEE), 1999, 3161-3164

Skup
1999 IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP '99

Mjesto i datum
Phoenix (AZ), Sjedinjene Američke Države, 15.03.1999. - 19.03.1999

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Image coding; BCH codes; decoder; Least squares method; minimum norm solution

Sažetak
BCH codes in the frequency domain provide robust channel coding for image channel coding applications. The underlying problem of estimation of real/complex sinusoids in white additive noise may be formulated and solved in different ways. The standard approach is based on the least squares method and Berlekamp-Massey algorithm (BMA). In this paper we compare the performance of the BMA with other LS based algorithms including: minimum norm solution based algorithm (MNS), forward-backward linear prediction based algorithm (FBLP) and singular-value decomposition based minimum norm algorithm (SVD-MNA). Results of computer experiments show that the introduction of minimum norm solution, forward-backward prediction and the SVD decomposition may significantly improve the performance of the decoder in the case of the relatively low SNR. In selecting between the proposed algorithms a performance/complexity trade-off has to be considered.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA