DocumentCode
1891864
Title
Research of an improved adaptive filtering algorithm in digital communication
Author
Xiaoming, Zhao ; Wenping, Guo ; Ying, Chen
Author_Institution
Dept. of Comput., Taizhou Univ., Taizhou
fYear
2008
fDate
10-12 Nov. 2008
Firstpage
470
Lastpage
473
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.
Keywords
adaptive filters; adaptive signal processing; digital communication; mean square error methods; adaptive filtering algorithm; adaptive local noise elimination; adaptive signal processing; digital communication; mean square error; Adaptive filters; Adaptive signal processing; Digital communication; Digital signal processing; Filtering algorithms; Information processing; PSNR; Signal processing; Signal processing algorithms; Signal to noise ratio; adaptive; digital communication; filter; local noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Technology, 2008. ICCT 2008. 11th IEEE International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-2250-0
Electronic_ISBN
978-1-4244-2251-7
Type
conf
DOI
10.1109/ICCT.2008.4716295
Filename
4716295
Link To Document