Blind Equalizers By Techniques Of Optimal Non-Linear Filtering Theory: Analysis and Derivation - Softcover

Pinchas, Monika

Softcover

ISBN 10: 3639155300 ISBN 13: 9783639155303

Publisher: VDM Verlag, 2009

Synopsis

Blind deconvolution, fundamental in signal processing applications, is a challenging problem. Although blind equalization is essentially a nonlinear filtering problem, it has not yet been treated by all the well known advanced techniques of optimal non-linear filtering theory. In this book we use the Edgeworth expansion, maximum entropy argumentations and the Laplace integral method in order to obtain two new groups of blind deconvolution methods which outperform the old and new algorithms. The proposed methods are based on new, closed formed approximated expressions for the conditional expectation suitable for the blind deconvolution problem. Since these expressions do not impose any restrictions (except that of even symmetric) on the probability distribution of the (unobserved) input sequence, they are suitable for a wider range of source pdf compared to Bellini's, Fiori's or Haykin's expression. The derivation of the above mentioned equalizers are accompanied by theoretical analysis of the performance in the mean square error (MSE) sense and are justified via simulation. These new methods are useful to professionals in Communications who seek for improved equalization methods.

About this title

About the Author

Monika Pinchas, PhD: Studied Electrical Engineering at Tel-Aviv University. Lecturer at Ariel University Center of Samaria Israel. Research interests: Blind deconvolution/equalization and synchronization. In the past served as the CTO at Resolute Networks. Included in the 10th Anniversary Edition of "Marquis Who's Who in Science and Engineering.

Edition details

• Publisher: VDM Verlag
• Publication date: 2009
• Language: English
• ISBN 10: 3639155300
• ISBN 13: 9783639155303
• Binding: Paperback
• Number of pages: 96