Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Distributed Source Coding Using Syndromes (DISCUS): Design and Construction
DCC '99 Proceedings of the Conference on Data Compression
Call for papers: special issue on distributed source coding
Signal Processing - Special section: New trends and findings in antenna array processing for radar
Rate-adaptive codes for distributed source coding
Signal Processing - Special section: Distributed source coding
Modern Coding Theory
Successive refinement for the Wyner-Ziv problem and layered code design
IEEE Transactions on Signal Processing - Part II
Upper bounds on the rate of LDPC codes
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Design and decoding of optimal high-rate convolutional codes
IEEE Transactions on Information Theory
Design methods for irregular repeat-accumulate codes
IEEE Transactions on Information Theory
Bounds on achievable rates of LDPC codes used over the binary erasure channel
IEEE Transactions on Information Theory
Rate-compatible puncturing of low-density parity-check codes
IEEE Transactions on Information Theory
Sphere-packing bounds revisited for moderate block lengths
IEEE Transactions on Information Theory
Rate-compatible punctured low-density parity-check codes with short block lengths
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Results on Punctured Low-Density Parity-Check Codes and Improved Iterative Decoding Techniques
IEEE Transactions on Information Theory
Parity-Check Density Versus Performance of Binary Linear Block Codes: New Bounds and Applications
IEEE Transactions on Information Theory
An Improved Sphere-Packing Bound for Finite-Length Codes Over Symmetric Memoryless Channels
IEEE Transactions on Information Theory
Layered Wyner–Ziv Video Coding
IEEE Transactions on Image Processing
Systematic Lossy Error Protection of Video Signals
IEEE Transactions on Circuits and Systems for Video Technology
Distributed image coding for digital image recovery from the print-scan channel
IEEE Transactions on Image Processing
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A large number of practical coding scenarios deal with sources such as transform coefficients that can be well modeled as Laplacians. For regular coding of such sources, samples are often quantized by a family of uniform quantizers possibly with a deadzone, and then entropy coded. For the Wyner-Ziv coding problem when correlated side-information is available at the decoder, the side-information can be modeled as obtained by independent additive Laplacian or Gaussian innovation on the source. This paper deals with optimal choice of parameters for practical Wyner-Ziv coding in such scenarios, using the same quantizer family as in the regular codec to cover a range of rate-distortion tradeoff's, given the variances of the source and additive noise. We propose and analyze a general encoding model based on multilevel coset codes that combines source coding and channel coding and show that at practical block lengths and code complexities, not pure channel coding but a hybrid combination of source coding aud channel coding with right parameters provide optimal rate-distortion performance. We also provide a framework for on-the-fty parameter choice based on nonparametric representation of a set of seed functions, for use in scenarios where variances are estimated during encoding. A good insight in the optimal parameter selection mechanism is essential for building practical distributed codecs.