Title :
Duality theorems for joint source-channel coding
Author :
Mittal, Udar ; Phamdo, Nam
Author_Institution :
Dept. of Electr. & Comput. Eng., State Univ. of New York, Stony Brook, NY, USA
fDate :
7/1/2000 12:00:00 AM
Abstract :
We consider joint source-channel coding for a memoryless Gaussian source and an additive white Gaussian noise (AWGN) channel. For a given code defined by an encoder-decoder pair (α, β), its dual code is obtained by interchanging the encoder and decoder: (β, α). It is shown that if a code (α, β) is optimal at rate p channel uses per source sample and if it satisfies a certain uniform continuity condition, then its dual code (β, α) is optimal for rate 1/ρ channel uses per source sample. Further, it is demonstrated that there is a code which is optimal but its dual code is not optimal. Finally, using random coding, we show that there is an optimal code which has an optimal dual. The duality concept is also presented for the cases of (i) binary memoryless equiprobable source and binary-symmetric channel (BSC), and (ii) colored Gaussian source and additive colored Gaussian noise (ACGN) channel
Keywords :
AWGN channels; combined source-channel coding; decoding; dual codes; memoryless systems; optimisation; random codes; AWGN channel; additive colored Gaussian noise channel; additive white Gaussian noise channel; binary memoryless equiprobable source; binary-symmetric channel; code rate; colored Gaussian source; dual code; duality theorems; encoder-decoder pair; joint source-channel coding; memoryless Gaussian source; optimal code; optimal dual code; random coding; uniform continuity condition; AWGN; Additive noise; Additive white noise; Channel coding; Data communication; Decoding; Gaussian channels; Gaussian noise; Lattices; Rate-distortion;
Journal_Title :
Information Theory, IEEE Transactions on