Immune Algorithm And Its Applications In Adaptive Filter

Immune algorithm(IA) was an new technology of information processing, which extracted from the characteristics of biological immune system, such as self-adaptation, self-organization, diversity, immune memory, etc. It was a hotspot after article neural network(ANN)and evolve calculation(EC)in the field of calculated intelligence.The technology of filter has been eighty years'history, and has developed quite perfect signal technology. At present, because of some problems of factual system, diversified optimized accounts are applied on optimized design of classical filters, and become emphasis of research and acquire some fruit. Especially apply immune algorithm(IA) to design filter acquire some fruit. The powerful optimization ability of immune algorithm(IA) make it have all-righr research foreground in optimized design of digital filter. The combination of them can improve filter's technology and some problems of designing of classical filters.The thesis first introduces the important meaning in the studying of the Immune algorithm(IA), Expatiated the basic theory of immunity system, then educe the immune algorithm(IA). Expatiated the manpower immune algorithm(IA) and several immunity algorithm'flow, studied their characteristics, then presents the basic knowledge, the algorithms and the design of linear adaptive filter. parameter effects on performance of the adaptive filter are studied. we apply the immune algorithm(IA) to the design of LMS adaptive filter, Based on the MATLAB platform, simulation is carried out for the applications of immune algorithm(IA) in adaptive notch filter and adaptive Line enhancer, we gained optimal value of the key parameterμin LMS. get a good effect. Key words: Immune Algorithm, Optimize, Adaptive Filter, Adaptive Notch Filter, Adaptive Line Enhancer...