Fractionally spaced equalizers

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Fractionally Spaced Equalizers - IEEE Signal Processing Magazine

odern digital transmission systems commonly use an adaptive equalizer as a key part of the receiver. The design of this equalizer is important since it determines the maximum quality attainable from the system, and represents a high fraction of the computation used to implement the demodulator. Recent analytical results offer a new way of looking at fractionally spaced equalizers and have some ...

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Fractionally spaced CMA equalizers under periodic and correlated inputs

CMA Fractionally Spaced Equalizers (CMA-FSEs) have been shown, under certain conditions, to be globally asymptotically convergent to a setting which provides perfect equalization. Such a result relies heavily on the assumptions of a white source and no channel noise (as is the case in much of the literature’s analysis of CMA). Herein, we relax the white source assumption and examine the effect ...

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A hybrid equalizer merging the advantages of Baud spaced and fractionally spaced equalizers

A transversal equalizer with half Baud spaced taps in the center and extended with Baud spaced taps on both sides is presented. This hybrid equalizer combines the benefits of Baud spaced equalizers like superior equalization of notches in the middle of the transmission band and fractionally spaced equalizers, which have a superior performance when equalizing asymmetric notches in the slope of t...

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CMA Fractionally Spaced Equalizers: Stationary Points and Stability under IID and Temporally Correlated Sources

A common assumption in blind equalization schemes using the Constant Modulus Algorithm (CMA) is that the source sequence is an independent identically distributed (i.i.d.) sequence with equiprobable symbols. Much of the analysis demonstrating the global convergence of CMA in a noiseless channel to an open-eye setting uses this assumption. This work investigates the effect of source statistics (...

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Fractionally Spaced Bayesian Equalizer

In digital communication system, conventional fractionally spaced equalizer (FSE) is based on linear transversal equalizer (LTE) where the noise enhancement influences the equalization result. Since equalization can also be viewed as a classification problem, the Bayesian equalizer which is the optimal symbol-decision equalizer can achieve better performance than LTE. A novel fractionally space...

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ژورنال

عنوان ژورنال: IEEE Signal Processing Magazine

سال: 1996

ISSN: 1053-5888

DOI: 10.1109/79.489269