Pregled bibliografske jedinice broj: 76124
Low complexity predictive vector quantization of LSF parameters
Low complexity predictive vector quantization of LSF parameters // Proceedings of the 2002 IEEE International Conference on Acoustics Speech and Signal Processing / Lance Cotton, Ken Croft, James Wingfield (ur.).
Orlando (FL), Sjedinjene Američke Države: Conference Management Services, 2002. str. vol. IV, 4161-4161 (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 76124 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Low complexity predictive vector quantization of LSF parameters
Autori
Petrinović, Davorka ; Petrinović, Davor
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Proceedings of the 2002 IEEE International Conference on Acoustics Speech and Signal Processing
/ Lance Cotton, Ken Croft, James Wingfield - : Conference Management Services, 2002, Vol. IV, 4161-4161
Skup
2002 IEEE International Conference on Acoustics Speech and Signal Processing
Mjesto i datum
Orlando (FL), Sjedinjene Američke Države, 13.05.2002. - 17.05.2002
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
predictive vector quantization; LSF; LSF quantization; complexity reduction
Sažetak
The paper presents a low complexity method for line spectrum frequencies (LSF) coding based on predictive vector quantization (PVQ) with switched-adaptive prediction. Complexity reduction is achieved in two ways. Vector quantization (VQ) is simplified by increasing the number of switched matrices. Secondly, the technique for reduction of the number of nonzero elements in switched matrices is applied to simplify the prediction. The structures of such sparse matrices as well as the optimal values of their nonzero elements are determined to maximize the closed-loop prediction gain of the coder. Designed coders are compared to the baseline coders with full prediction matrices as well as to coders incorporating diagonal matrices. The trade-off between complexity and quality of the proposed coders has been analyzed as a function of various coder parameters, verifying the effectiveness of the proposed approach.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb