DocumentCode
1550568
Title
LMS-based algorithm for unbiased FIR filtering with noisy measurements
Author
So, H.C.
Author_Institution
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China
Volume
37
Issue
23
fYear
2001
fDate
11/8/2001 12:00:00 AM
Firstpage
1418
Lastpage
1420
Abstract
A computationally simple algorithm is developed for unbiased finite impulse response (FIR) filtering in the presence of white input and output noise, assuming that the power ratio of the interference is known. The estimation performance of the proposed method is contrasted with several conventional schemes under different signal conditions
Keywords
FIR filters; filtering theory; identification; least mean squares methods; transient response; white noise; FIR system identification; LMS-based algorithm; computationally simple algorithm; estimation performance; finite impulse response filtering; interference power ratio; modified performance surface; noise power ratio; noisy measurements; signal conditions; unbiased FIR filtering; white input noise; white output noise;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20010955
Filename
966560
Link To Document