Title :
Design of entropy-constrained multiple-description scalar quantizers
Author :
Vaishampayan, Vinay A. ; Domaszewicz, Jaroslaw
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
fDate :
1/1/1994 12:00:00 AM
Abstract :
The problem of entropy-constrained multiple-description scalar quantizer design is posed as an optimization problem, necessary conditions for optimality are derived, and an iterative design algorithm is presented. Performance results are presented for a Gaussian source, along with comparisons to the multiple-description rate distortion bound and a reference system
Keywords :
analogue-digital conversion; encoding; iterative methods; optimisation; Gaussian source; channel impairments; communication systems; diversity; entropy-constrained multiple-description scalar quantizers; iterative design algorithm; multiple-description rate distortion bound; optimization problem; source coding; Algorithm design and analysis; Communication systems; Decoding; Degradation; Design optimization; Information theory; Iterative algorithms; Rate-distortion; Source coding; Speech coding;
Journal_Title :
Information Theory, IEEE Transactions on
