NDLI: On super-exponential algorithm, constant modulus algorithm and inverse filter criteria for blind equalization

Content Provider	IEEE Xplore Digital Library
Author	Chong-Yung Chi Ching-Yung Chen Bin-Way Li
Copyright Year	2000
Description	Author affiliation: Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan (Chong-Yung Chi)
Abstract	The super-exponential algorithm (SEA), constant modulus algorithm (CMA) and inverse filter criteria (IFC) using higher-order statistics have been widely used for blind equalization. Chi et al., (2000) have reported that SEA and IFC are equivalent under certain conditions. We further prove that SEA, IFC and CMA are equivalent under certain conditions, and their convergence speed and computational load can be significantly improved as the given data are preprocessed by the well-known lattice linear prediction error (LPE) filter for both off-line processing and adaptive processing. Some simulation results are presented to support the analytic results and the proposed off-line and adaptive implementations.
Starting Page	216
Ending Page	220
File Size	429039
Page Count	5
File Format	PDF
ISBN	0780359887
DOI	10.1109/SSAP.2000.870114
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-08-16
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal processing algorithms Finite impulse response filter Blind equalizers Lattices Adaptive filters Nonlinear filters Signal processing Speech synthesis Intersymbol interference Higher order statistics
Content Type	Text
Resource Type	Article

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