Multiple description source coding with no excess marginal rate

Multiple description source coding concerns situations in which the transmission of the source information is distributed over two data streams at rates R/sub 1/ and R/sub 2/, respectively. When both data streams are received, the decoder uses the combined data at rate R/sub 1/+R/sub 2/ to reconstruct the source information with average distortion d/sub 0/. If a communication breakdown prevents one of the data streams from reaching the receiver, the decoder has to base its reconstruction solely on the available data at rate either R/sub 1/ or R/sub 2/. This results in a higher distortion of either d/sub 1/ or d/sub 2/, respectively. The region /spl Rscr/ of all achievable quintuples (R/sub 1/, R/sub 2/, d/sub 0/, d/sub 1/, d/sub 2/) has been determined in the so-called "no excess rate" sum case defined by imposing the requirement R/sub 1/+R/sub 2/=R(d/sub 0/), where R(/spl middot/) is the rate-distortion function of the source. The case with excess rate sum, characterized by R/sub 1/+R/sub 2/>R(d/sub 0/), is challenging. We study in this paper a special case of it in which the requirements R/sub t/=R(d/sub t/), t=1, 2, are imposed; we refer to this as the "no excess marginal rate" case. The lower and upper bounds on d/sub 0/ we obtain are separated by only a tiny gap when evaluated for a binary equiprobable source and the Hamming distortion measure. >

[1]  L. Ozarow,et al.  On a source-coding problem with two channels and three receivers , 1980, The Bell System Technical Journal.

[2]  Katalin Marton,et al.  A simple proof of the blowing-up lemma , 1986, IEEE Trans. Inf. Theory.

[3]  H. Witsenhausen,et al.  Source coding for multiple descriptions II: A binary source , 1981, The Bell System Technical Journal.

[4]  Toby Berger,et al.  New results in binary multiple descriptions , 1987, IEEE Trans. Inf. Theory.

[5]  Toby Berger,et al.  Rate distortion theory : a mathematical basis for data compression , 1971 .

[6]  Toby Berger,et al.  Minimum breakdown degradation in binary source encoding , 1983, IEEE Trans. Inf. Theory.

[7]  Jaroslaw Domaszewicz,et al.  Design of entropy-constrained multiple-description scalar quantizers , 1994, IEEE Trans. Inf. Theory.

[8]  János Körner,et al.  Images of a set via two channels and their role in multi-user communication , 1977, IEEE Trans. Inf. Theory.

[9]  Rudolf Ahlswede,et al.  The rate-distortion region for multiple descriptions without excess rate , 1985, IEEE Trans. Inf. Theory.

[10]  Hans S. Witsenhausen,et al.  On Team Guessing with Independent Information , 1981, Math. Oper. Res..

[11]  John G. Proakis,et al.  Digital Communications , 1983 .

[12]  A. Wyner,et al.  Source coding for multiple descriptions , 1980, The Bell System Technical Journal.

[13]  P. Gács,et al.  Bounds on conditional probabilities with applications in multi-user communication , 1976 .

[14]  Abbas El Gamal,et al.  Achievable rates for multiple descriptions , 1982, IEEE Trans. Inf. Theory.

[15]  H. S. Witsenhausen,et al.  B.S.T.J. brief: On source networks with minimal breakdown degradation , 1980, The Bell System Technical Journal.