Title :
A structured fixed-rate vector quantizer derived from a variable-length scalar quantizer. I. Memoryless sources
Author :
Laroia, Rajiv ; Farvardin, Nariman
Author_Institution :
AT&T Bell Lab., Murray Hill, NJ, USA
fDate :
5/1/1993 12:00:00 AM
Abstract :
A low-complexity, fixed-rate structured vector quantizer for memoryless sources is described. This quantizer is referred to as the scalar-vector quantizer (SVQ), and the structure of its codebook is derived from a variable-length scalar quantizer. Design and implementation algorithms for this quantizer are developed and bounds on its performance are provided. Simulation results show that performance close to that of the optimal entropy-constrained scalar quantizer is possible with the fixed-rate quantizer. The SVQ is also robust against channel errors and outperforms both Lloyd-Max and entropy-constrained scalar quantizers for a wide range of channel error probabilities
Keywords :
coding errors; computational complexity; vector quantisation; SVQ; channel error probabilities; codebook; memoryless sources; scalar-vector quantizer; structured fixed-rate vector quantizer; variable-length scalar quantizer; Algorithm design and analysis; Bridges; Buffer overflow; Decoding; Error probability; Lattices; Propagation losses; Rate-distortion; Robustness; Vector quantization;
Journal_Title :
Information Theory, IEEE Transactions on
