Application of smart antenna interference suppression techniques in TD-SCDMA systems
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Adaptive filtering noisy transcranial Doppler signal by using artificial bee colony algorithm
Engineering Applications of Artificial Intelligence
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In practical application, the statistical characteristics of signal and noise are usually unknown or can't have been learned so that we hardly design fix coefficient digital filter. In allusion to this problem, the theory of the adaptive filter and adaptive noise cancellation are researched deeply in the thesis. According to the LMS and the RLS algorithms realize the design and simulation of adaptive algorithms in noise canceling, and compare and analyze the result then prove the advantage and disadvantage of two algorithms .We simulates the adaptive filter with MATLAB, the results prove its performance is better than the use of a fixed filter designed by conventional methods.