Title :
Quantization theory and EC-CELP advantages at low bit rates
Author :
Foodeei, Majid ; Dubois, Eric
Author_Institution :
Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
Abstract :
The goal of this work is to analyze the advantages of the recently introduced entropy-constrained code-excited linear predictive (EC-CELP) quantization. The analysis is at low rates in comparison with other EC quantization schemes. Based on N-th order rate-distortion function (RDF), EC quantization theory, and empirical methods, RDF memory gain and empirical space-filling gain (dimensionality N) at low bit rates are defined and calculated. These gains categorize and help us analyze and compare the available coding gains for various EC coders for a given rate and delay (N)
Keywords :
entropy codes; linear predictive coding; rate distortion theory; vector quantisation; EC coders; N-th order rate-distortion function; RDF memory gain; coding gains; empirical methods; empirical space-filling gain; entropy-constrained CELP; low bit rates; quantization theory; Bit rate; Quantization;
Conference_Titel :
Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
Conference_Location :
Alexandria, VA
Print_ISBN :
0-7803-2761-6
DOI :
10.1109/WITS.1994.513914
