Title :
On the role of common codewords in quadratic Gaussian multiple descriptions coding
Author :
Viswanatha, Kumar ; Akyol, Emrah ; Rose, Kenneth
Author_Institution :
ECE Dept., Univ. of California, Santa Barbara, Santa Barbara, CA, USA
Abstract :
This paper focuses on the problem of L-channel quadratic Gaussian multiple description (MD) coding. We recently introduced a new encoding scheme in [1] for general L-channel MD problem, based on a technique called `Combinatorial Message Sharing´ (CMS), where every subset of the descriptions shares a distinct common message. The new achievable region subsumes the most well known region for the general problem, due to Venkataramani, Kramer and Goyal (VKG) [2]. Moreover, we showed in [3] that the new scheme provides a strict improvement of the achievable region for any source and distortion measures for which some 2-description subset is such that the Zhang and Berger (ZB) scheme achieves points outside the El-Gamal and Cover (EC) region. In this paper, we show a more surprising result: CMS outperforms VKG for a general class of sources and distortion measures, which includes scenarios where for all 2-description subsets, the ZB and EC regions coincide. In particular, we show that CMS strictly extends VKG region, for the L-channel quadratic Gaussian MD problem for all L ≥ 3, despite the fact that the EC region is complete for the corresponding 2-descriptions problem. Using the encoding principles derived, we show that the CMS scheme achieves the complete rate-distortion region for several asymmetric cross-sections of the L-channel quadratic Gaussian MD problem, which have not been considered earlier.
Keywords :
Gaussian channels; combinatorial mathematics; encoding; rate distortion theory; CMS; EC region; El-Gamal and cover region; L-channel quadratic Gaussian MD problem; L-channel quadratic Gaussian multiple description coding; MD coding; VKG; ZB scheme; Zhang and Berger scheme; asymmetric cross-sections; codewords; combinatorial message sharing; encoding principles; encoding scheme; general L-channel MD problem; quadratic Gaussian multiple descriptions coding; rate-distortion region; Decoding; Distortion measurement; Encoding; Joints; Random variables; Rate-distortion; Combinatorial message sharing; Multiple description coding; Quadratic Gaussian multiple descriptions;
Conference_Titel :
Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
Conference_Location :
Istanbul
DOI :
10.1109/ISIT.2013.6620450