Applications of Error-Control Coding - Information Theory.
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.At the end of the course, students should have a good understanding of the most important algebraic and convolutional codes on a level that is sufficient to understand research papers in the area. Students should be able to choose appropriate code constructions and parameters when provided with the constraints of a communication or storage.Published Research Papers Selection 1 Xuemin Chen, Guo Guirong, The convergence analysis of the WCE iterative algorithm, Journal of NUDT, vol.55, no.3, pp11-20(China),1986.
The study of error-control codes is called coding theory. This area of discrete applied mathematics includes the study and discovery of various coding schemes that are used to increase the number of errors that can be corrected during data transmission. Coding theory emerged following the publi-.Delphi image control tool. Huffman coding method is used to removes redundant codes from the image and compresses a BMP image file. Huffman coding is a form of coding technique which attempts to reduce the amount of bits required to represent a string of symbols. This image compression scheme is well suited for gray scale (black and white) bit.
This thesis deals with the design of error-control coding schemes for three different problems of noisy information transmission, storage and processing. These problems have in common that they are of interest from a practical, industrial point of view and that they cannot be solved elegantly by traditional error-control coding schemes.
