一种分布式信源编码中最优量化器的设计  

Design of Optimal Quantizers for Distributed Source Coding

作　　者：郑婷一[1] 程永强[1] 

机构地区：[1]太原理工大学通信技术研究室,山西太原030024

出　　处：《电视技术》2013年第7期129-131,共3页Video Engineering

基　　金：国家自然科学基金项目(61141008)

摘　　要：针对传统的向量量化压缩的不足性,提高量化效果的方法主要是增加向量的维数,但同时增加了计算的复杂性。为了解决分布式编码中量化器的设计问题,在联合条件熵约束的条件下,着重从WZ量化器的最优条件分析,提出了一种Lloyd迭代算法,通过实验证明,该算法比传统的算法更可以保证量化器的局部最优性。According to the shortage of traditional vector quantization compression, the method of improving the effect of quantization is mainly to in- crease the vector dimension, but at the same time, it will increase the complexity of the calculation. In order to solve the problem of designing of optimal quantizers for distributed source coding, and the rate equal to the joint conditional entropy of the quantized sources, the optimality conditions quantizers are analyzed, and the Lloyd algorithm is proposed. Experimental results show that the algorithm can guarantee the more local optimal quantizers than the traditional algorithm.

关 键 词：分布式编码 WZ量化器 Lloyd算法 局部最优 

分 类 号：TN911.21[电子电信—通信与信息系统]