What is the distributed source coding?

In the theory of communication and information, the distributed source coding (DSC) is a decisive problem that describes the compression of information sources that are correlated in multiples but cannot communicate with each other. DSC allows paradigms of video coding relationships that focus on the complexity of encoders and decoders, which is a conceptual shift in video processing. Correlations with many sources can be modeling between channel codes and decodent parties, allowing distributed source encoding to move computing complexity between the side of the encoder and the decoder. This provides a suitable framework for applications that have a sender that is tense, such as sensor network or video compression.

Two men named Jack K. Wolf and David Slouian proposed a theoretical boundary of lossless compression on distributed source coding, which is now called the sentence Blind-Wolf or Bound. Bound was designed in an entropically with correlated information sources in 1973. One of the things to theThey preached to present, it was that two separate and isolated sources were able to compress data efficiently and as if both resources were communicating directly. Later, in 1975, a man named Thomas M. Cover expanded this sentence to, for example, more than two sources.

In distributed source coding, more dependent sources are coded by separate joint decoders and encoders. The sentence blind pattern, which represents these sources as two different variables, assumes that two separate and correlated signals came from different sources and did not communicate each other. These are encoders and their signals are transferred to the receiver, a decoder that can perform the process of decoding common decoding of both information signals. The sentence tries to solve the degree of probability that the receiver decodes the error and ascomaching Zero, which is represented as its joint entropy. As Wolf and Blind showed in 1973n, although correlated signals become independently coded, the combined rate is sufficient.

Although this sentence theoretically assumes that this is achievable in distributed source coding, the limits of theory have not been implemented or even closely accessed in practical applications. Two other scientists, Ramchandran and Pradhan, tried to solve how to achieve this theoretical limit and demonstrate the credibility of the sentence Slopian-Wolf. They tried to provide a specific solution for two coded signals with maximum separation distance.