Combined Data compression and Error Correction Code

A fundamental problem in telecommunications is the reliable transmission of a source over a noisy channel. As an important result of the Shannon's paper, the problem can be theoretically separated, without loss of optimality, into two parts: source coding and channel coding. However, in practice, due to the strict design constraints, such as the limitations on complexity of the systems involved, the joint design of source and channel coders has found increasing interest. Efficient source decoding schemes are presented, which take advantage of the residual redundancy in the source coder output stream as a bandwidth efficient way to combat the noisy channel degradations. This falls into the category of joint source channel coding This project we investigate about the combined data compression and Error control methods for a reliable communication system This main objective of the project is to write a C code and analyse the best combination of the Compression and Error control technique. In this project we are analysed the lossless LZW data compression technique and LDPC (Low Density Parity Check Codes). The main important analysis of the Project is Compression rate and coding rate because there both parameters are inversely proportional to each other. The research is based on the best factor of compression rate and coding rate, because the more compression rate required less coding rate, and visa versa. The project will give the good insight in Two key areas of Data compression and Error correction in data communication field. 4School of Computing, Communications and Electronics (SoCCE