Entropy-constrained code-excited linear predictive (EC-CELP) quantization

An entropy-constrained code-excited linear predictive quantizer (EC-CELP) is introduced. EC-CELP addresses the problems associated with high quality, low delay, low complexity, low bit rate source coding of sources with memory. The motivation comes from the applications in motion-compensated time varying image compression. As well, there is an information theoretic interest in instrumentable coding schemes with performance near the rate-distortion bound having minimal delay and computational cost. EC-CELP implicitly combines the advantages of VQ, predictive coding (PC), and analysis-by-synthesis with the merits of the entropy-constrained codebook design. Simulation results show the clear advantages of EC-CELP over alternative schemes