Title :
Asymptotic analysis of multiple description quantizers
Author :
Vaishampayan, V.A. ; Batllo, J.-C.
Author_Institution :
AT&T Labs., Florham Park, NJ, USA
fDate :
1/1/1998 12:00:00 AM
Abstract :
A high-rate analysis of multiple description quantizers is presented for rth-power distortions and general source densities. Both, fixed-length and variable-length encoding of the quantizer indices are considered. Optimal companding functions are shown to be the same as for single-channel quantizers. As compared to the bound of Ozarow (1980), a gap of 8.69 dB and 3.07 dB exists between the entropy-constrained and level-constrained cases, respectively, for a memoryless Gaussian source and r=2
Keywords :
entropy codes; memoryless systems; quantisation (signal); rate distortion theory; source coding; variable length codes; asymptotic analysis; entropy-constrained case; fixed-length encoding; general source densities; high-rate analysis; level-constrained case; memoryless Gaussian source; multiple description quantizers; optimal companding functions; rate distortion bound; rth-power distortions; source coding; variable-length encoding; Data compression; Decoding; Delay; Density measurement; Fading; Interleaved codes; Quantization; Rate-distortion; Source coding; Speech coding;
Journal_Title :
Information Theory, IEEE Transactions on
