Abstract
Noise reduction is one of the core issues in signal processing, because the noise exists throughout the channel as well as other communication system. And the filtering technology is a conventional technology of noise cancellation. Traditional filtering techniques require some priori statistical knowledge of signal and noise. In this paper, optimal adaptive filters are implemented by using evolutionary algorithm, which don’t need any priori statistical knowledge of signal and noise, and the parameters of these adaptive filters can be automatically adjusted to the best in accordance with certain criteria. Theoretical analysis and simulation results show that it can not only quickly design effective optimal adaptive filters by using evolutionary algorithm, but also can achieve minimal error.
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