Paper
1 December 1991 Blind equalization
John G. Proakis, Chrysostomos L. Nikias
Author Affiliations +
Abstract
Blind equalization deals with the restoration of the input sequence given the output of a linear communication channel and statistical information about the input. A solution to this problem can be achieved by using nonlinear transformations or higher-order statistics of the output sequence. The purpose of this paper is to provide a review of existing adaptive blind equalization algorithms and point out their strengths and limitations.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John G. Proakis and Chrysostomos L. Nikias "Blind equalization", Proc. SPIE 1565, Adaptive Signal Processing, (1 December 1991); https://doi.org/10.1117/12.49767
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Cited by 19 scholarly publications.
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KEYWORDS
Signal processing

Expectation maximization algorithms

Filtering (signal processing)

Nonlinear filtering

Digital filtering

Data communications

Detection and tracking algorithms

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