What Is Distributed Source Coding?

Distributed Source Coding (DSC) is an information compression method for sources that are related to each other but do not communicate with each other. It is different from other source codes in that channel codes are used here.

The main application areas of distributed source coding are sensor networks and image, video, and multimedia compression. There are two main characteristics. First, the encoding calculation is very simple, and the decoding is relatively complicated. Second, the mutual Non-communication information related source compression can achieve compression efficiency with mutual communication.

As a branch of information theory, as early as 1973, David Slepian and Jack K. Wolf used information entropy to propose two sources of information that are related to each other.

In 2003, Pradhan and Ramachandran applied the syndrome to a distributed source network and called it DIstributed Source Coding Using Syndromes (DISCUS). They divided two binary sources into fixed-length groups. Source use

,

,

Deterministic model

Probabilistic model