Low complexity predictive vector quantization of LSF parameters (CROSBI ID 482816)
Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija
Podaci o odgovornosti
Petrinović, Davorka ; Petrinović, Davor
engleski
Low complexity predictive vector quantization of LSF parameters
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.
predictive vector quantization; LSF; LSF quantization; complexity reduction
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
vol. IV, 4161-41-x.
2002.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 2002 IEEE International Conference on Acoustics Speech and Signal Processing
Lance Cotton, Ken Croft, James Wingfield
Conference Management Services
Podaci o skupu
2002 IEEE International Conference on Acoustics Speech and Signal Processing
poster
13.05.2002-17.05.2002
Orlando (FL), Sjedinjene Američke Države