Pregled bibliografske jedinice broj: 41676
Sparse vector linear predictor matrices with multidiagonal structure
Sparse vector linear predictor matrices with multidiagonal structure // Proceedings of 6th European Conference on Speech Communication and Technology, EUROSPEECH � ; 99 / Kis, B. ; Nemeth, G. ; Olaszy, G. (ur.).
Budimpešta, 1999. str. 1483-1486 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 41676 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Sparse vector linear predictor matrices with multidiagonal structure
Autori
Petrinović, Davor ; Petrinović, Davorka
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 6th European Conference on Speech Communication and Technology, EUROSPEECH � ; 99
/ Kis, B. ; Nemeth, G. ; Olaszy, G. - Budimpešta, 1999, 1483-1486
Skup
6th European Conference on Speech Communication and Technology, EUROSPEECH 99
Mjesto i datum
Budimpešta, Mađarska, 05.09.1999. - 09.09.1999
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
vector linear prediction; VLP; LSF; multidiagonal matrices
Sažetak
A modification of the classical vector linear prediction (VLP) problem is presented. The introduced technique called the sparse VLP (sVLP) is based on the assumption that each component of a single LSF vector is highly correlated only to a few neighboring vector components of consecutive vectors, while the correlation between distant vector components can be ignored. This leads to simplification of predictor matrices in a way that for a chosen number of neighboring components, predictor matrices obtain multidiagonal form. It is shown that prediction gain resulting from sVLP is only slightly lower than for the case of full matrix predictors but with significant reduction of computation, both for coding and predictor design.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
