Research of an improved adaptive filtering algorithm in digital communication

Abstract

Adaptive signal processing, an important branch in the Signal and Information Processing field, is widely used in the signal processing in digital communication owning to its superiority. While this paper point out the defect of this algorithm on the basis of the adaptive local noise elimination filtering algorithm introduced by American Professor Rafael C. Gonzalez and put forward a new improved adaptive filtering algorithm which has reduced the mean square error by one-fourth, and raised various signal-to-noise ratios SNR, SNRm and PSNR by one-tenth. So it is more effective in eliminating local noise and enjoys higher promotion value.