Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
Abstract :
Summary form only given. A length n block code C of size 2nR over a finite alphabet χˆ0 is used to encode a memoryless source over a finite alphabet χ. A length n source sequence x is described by the index i of the codeword xˆ0 (i) that is nearest to x according to the single-letter distortion function d0(x,xˆ0). Based on the description i and the knowledge of the codebook C, we wish to reconstruct the source sequence so as to minimize the average distortion defined by the distortion function d1(x,xˆ1), where d1 (x, xˆ1) is in general different from d0(x,xˆ0). In fact, the reconstruction alphabets χˆ0 and χˆ1 could be different. We study the minimum, over all codebooks C, of the average distortion between the reconstructed sequence xˆ1(i) and the source sequence x as the blocklength n tends to infinity. This limit is a function of the code rate R, the source´s probability law, and the two distortion measures d0(x,xˆ0), and d1(x,xˆ1). This problem is the rate-distortion dual of the problem of determining the capacity of a memoryless channel under a possibly suboptimal decoding rule. The performance of a random i.i.d. codebook is found, and it is shown that the performance of the “average” codebook is in general suboptimal
Keywords :
block codes; rate distortion theory; sequences; signal reconstruction; average distortion; block code; blocklength; code length; code rate; codeword; distortion function; distortion measures; finite alphabet; memoryless channel cpacity; mismatched encoding; performance; probability law; rate distortion theory; reconstruction alphabets; single-letter distortion function; source sequence length; source sequence reconstruction; suboptimal decoding rule; Block codes; Decoding; Distortion measurement; Encoding; Euclidean distance; H infinity control; Information systems; Laboratories; Rate distortion theory; Rate-distortion;