This paper presents a general framework for combined source-channel coding within the context of subband coding. The unequal importance of sub-bands in reconstruction of the source is exploited by an appropriate allocation of source and channel coding rates for the coding and transmission of subbands over a noisy channel. For each subband, the source coding rate as well as the level of protecti...

variously referred to as source coding, lossless coding, noiseless coding or entropy coding exactly and without error, the original message. Lossless coding implies that the message may be decoded back to the original sequence of symbols. The converse of lossless coding (“lossy” coding) implies some degree of approximation of the original message. lossless coding may augment lossy coding, eg VQ...

Source and channel coding are two problems that have traditionally been implemented separately, forming what is known as a tandem source-channel coding system. The separation of channel and source coding is only optimal in an asymptotic sense, i.e., when no constraints exist on the coding block lengths (delay) and on the complexity of the encoder/decoder [1]. Joint source-channel coding, howeve...

Multiterminal (MT) source coding refers to separate lossy encoding and joint decoding of multiple correlated sources. This paper presents two practical MT coding schemes under the same general framework of Slepian-Wolf coded quantization (SWCQ) for both direct and indirect quadratic Gaussian MT source coding problems with two encoders. The first asymmetric SWCQ scheme relies on quantization and...

It is shown that the techniques of source coding (or "data compression") can be usefully applied in cryptography. Five source coding schemes (ShannonFano coding, Huffman coding, Lynch-Davisson coding, Elias-Willems coding, and Lempel-Ziv coding) are reviewed and their characteristics delineated. It is then shown how the last three of these schemes, which are of the universal source coding type,...

We consider a sensor network where distributed source coding and network coding are used. We show how to design distributed source coding and network coding jointly to optimize the compression efficiency and network robustness tradeoff.

In this paper we consider the problem of lossy coding of correlated vector sources with uncoded side information available at the decoder. In particular, we consider lossy coding of source x ∈ R which is correlated with source y ∈ R , known at the decoder. The general non-linear mapping between y and x capturing the correlation between the two sources can be approximated through a linear model ...

In this paper, we develop an approach toward joint source-channel coding for motion-compensated DCT-based scalable video coding and transmission. A framework for the optimal selection of the source and channel coding rates over all scalable layers is presented such that the overall distortion is minimized. The algorithm utilizes universal rate distortion characteristics which are obtained exper...