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DOI: 10.2174/97816080535201120101 eISBN: 978-1-60805-352-0, 2012 ISBN: 978-1-60805-135-9
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For Books Monika Pinchas , " The Whole Story Behind Blind Adaptive Equalizers/ Blind Deconvolution ", Bentham Science Publishers (2012). https://doi.org/10.2174/97816080535201120101
Print ISBN978-1-60805-135-9
Online ISBN978-1-60805-352-0
Page: i-i (1) Author: Yosef Pinhasi DOI: 10.2174/97816080535201120101000i
Page: ii-iii (2) Author: Monika Pinchas DOI: 10.2174/9781608053520112010100ii
Page: 3-9 (7) Author: Monika Pinchas DOI: 10.2174/978160805352011201010003 PDF Price: $15
Page: 10-22 (13) Author: Monika Pinchas DOI: 10.2174/978160805352011201010010 PDF Price: $15
Page: 23-42 (20) Author: Monika Pinchas DOI: 10.2174/978160805352011201010023 PDF Price: $15
Page: 43-67 (25) Author: Monika Pinchas DOI: 10.2174/978160805352011201010043 PDF Price: $15
Page: 68-77 (10) Author: Monika Pinchas DOI: 10.2174/978160805352011201010068 PDF Price: $15
Page: 78-111 (34) Author: Monika Pinchas DOI: 10.2174/978160805352011201010078 PDF Price: $15
Page: 112-131 (20) Author: Monika Pinchas DOI: 10.2174/978160805352011201010112 PDF Price: $15
Page: 132-145 (14) Author: Monika Pinchas DOI: 10.2174/978160805352011201010132 PDF Price: $15
Page: 146-181 (36) Author: Monika Pinchas DOI: 10.2174/978160805352011201010146 PDF Price: $15
Page: 182-185 (4) Author: Monika Pinchas DOI: 10.2174/978160805352011201010182 PDF Price: $15
Page: 186-189 (4) Author: Monika Pinchas DOI: 10.2174/978160805352011201010186 PDF Price: $15
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Page: 197-198 (2) Author: Monika Pinchas DOI: 10.2174/978160805352011201010197
It is well known that Intersymbol (ISI) Interference is a limiting factor in many communication environments where it causes an irreducible degradation of the bit error rate (BER) thus imposing an upper limit on the data symbol rate. In order to overcome the ISI problem, an equalizer is implemented in those systems. Among the three types of equalizers - non-blind, semi-blind and blind – the blind equalizer has the benefit of bandwidth saving and there is no need of going through a training phase. Blind equalization algorithms are essentially adaptive filtering algorithms designed such that they do not require the external supply of a desired response to generate the error signal in the output of the adaptive equalization filter. The algorithms generate an estimate of the desired response by applying a nonlinear transformation to sequences involved in the adaptation process. This nonlinearity is designed to minimize a cost function that is implicitly based on higher order statistics (HOS) according to one approach, or calculated directly according to the Bayes rules. The Whole Story behind Blind Adaptive Equalizers/ Blind Deconvolution gives the readers a full understanding on blind deconvolution. The e-book covers a variety of blind deconvolution/equalization methods based on both cost functions and Bayes rules where simulation results are supplied to support the theory. These include the Maximum Entropy density approximation technique and the Edgeworth Expansion approach used in various blind equalizers. It also describes the relationship between the cost function approach and the approach taken according to Bayes rules. The e-book deals also with the effect of various system parameters (such as the step-size parameter or the equalizer's tap length) have on the obtained equalization performance. This e-book will be of particular interest to advanced communications engineering undergraduate students, graduate students, university instructors and signal processing researchers.
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