Title :
Predictive pyramid vector quantisation of LSF parameters
Author :
Cho, Inhwan ; Kang, Sangwon
Author_Institution :
Dept. of Control & Instrum. Eng., Hanyang Univ., South Korea
fDate :
4/16/1998 12:00:00 AM
Abstract :
The authors propose predictive pyramid vector quantisation (PPVQ) to quantise LSF parameters. For prediction of the LSF parameters, a 4th order moving average (MA) predictor is used. To quantise the prediction error signal effectively, pyramid VQ (PVQ) is considered. The performance of PPVQ has an average spectral distortion (SD) of 1.06 dB at 22bit/frame
Keywords :
moving average processes; prediction theory; spectral analysis; vector quantisation; LSF parameters; average spectral distortion; fourth order moving average predictor; prediction error signal; predictive pyramid vector quantisation;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19980566
