Distributed source coding, the separate encoding and joint decoding of statistically dependent sources, has many potential applications ranging from lower complexity capsule endoscopy to higher throughput satellite imaging. This dissertation improves distributed source coding algorithms and the analysis of their coding performance to handle uncertainty in the statistical dependence among source...

In this paper, new inner and outer bounds on the achievable compression-equivocation rate region for generalized secure data compression with side information are given that do not match in general. In this setup, two senders, Alice and Charlie intend to transmit information to Bob via channels with limited capacity so that he can reliably reconstruct their observations. The eavesdropper, Eve, ...

We introduce the idea of distortion side information, which does not directly depend on the source but instead affects the distortion measure. We show that such distortion side information is not only useful at the encoder, but that under certain conditions, knowing it at only the encoder is as good as knowing it at both encoder and decoder, and knowing it at only the decoder is useless. Thus d...

In this report, we study source coding problems with decoder side information (SI). Source coding problems with decoder side information are a special case of distributed source coding problems. We outline the relation between various distributed source coding problems in Table 1 with the help of Figure 1. For reference, we also include the standard single-source lossless and lossy compression ...

Robust source coding provides both compression and noise mitigation without channel coding. In this paper , two methods of robust source coding are presented. The rst is DPCM incorporating a nonlinear lter; the second is Predictive Trellis-Coded Quantiza-tion (PTCQ), whose prediction lter is also nonlinear. Findings show that the incorporation of the nonlinear lter provides the ability to conce...