Lattices from Linear Codes and Fine Quantization: General Continuous Sources and Channels
Farhad Shirani, S. Sandeep Pradhan · 2018
In this paper we consider the information-theoretic characterization of performance limits of a broad class of multiterminal communication problems with general continuous-valued sources and channels. In particular, we consider point- to-point source coding and channel coding with side information, distributed source coding with distortion constraints and function reconstruction problems (two-help-one). We develop an approach that uses fine quantization of the source and the channel variables followed by random coding with unstructured as well as structured (linear) code ensembles. This approach leads to lattice-like codes for general sources and channels.