NDLI: Convergence implementation of adaptive lattice algorithm with fuzzy based adaptive gain

Content Provider	IEEE Xplore Digital Library
Author	Geun-Taek Ryu Dae-Sung Kim Dea-Young Lee Sung-Hwan Han Ho-Seok Wey Hyeon-Deok Bae
Copyright Year	1998
Description	Author affiliation: Dept. of Telecommun, Kukdong Coll., China (Geun-Taek Ryu)
Abstract	In the LMS based adaptive filter, the choice of the adaptive gain is important to the adaptive algorithm performances and the realization structure is also important dependent on application areas. This paper presents an adaptive lattice algorithm which adjusts the adaptive gain of LMS using fuzzy if-then rules determined by matching input and output variables during the adaptation procedure. In each lattice filter stage, this filter adjusts the adaptive gain as the output of the fuzzy logic which has two input variables-squared forward prediction error and one step previous adaptive gain. The proposed algorithm is applied to echo cancelling problem of long distance communication channel. The simulation results showed that the convergence speed is improved and the ERLE of echo canceller is also enhanced by comparison with the conventional LMS lattice algorithm.
Starting Page	411
Ending Page	414
File Size	306233
Page Count	4
File Format	PDF
ISBN	0780351460
DOI	10.1109/APCCAS.1998.743797
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-11-24
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Convergence Lattices Least squares approximation Adaptive filters Performance gain Adaptive algorithm Impedance matching Fuzzy logic Communication channels Echo cancellers
Content Type	Text
Resource Type	Article

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