A Fixed-Rate Quantizer Using Block-Based Entropy-Constrained Quantization and Run-Length Coding

II Nine possible options for (y 1 ; y 2) together with coded bits and their lengths. : 8 III The Huuman table for Example 4 abstract In this paper, we develop a fast and eecient quantization technique which is xed-length, robust to bit errors, and compatible with most current compression standards. It is based on entropy-constrained quantization and uses an eecient delayed decision algorithm to force the coded sequence to be xed-rate. Run-length coding techniques are used to improve the performance at low encoding rates. Simulation results show that it can achieve performance comparable to that of Huuman coded entropy-constrained scalar quantization with computational complexity increasing only linearly in block length.