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Author: Publisher: ISBN: Category : Languages : en Pages : 8
Book Description
This paper presents an evaluation of the performance of the lattice constant modulus algorithm (LCMA) in blind channel equalization. The convergence performance of LCMA is compared to that of its transversal counterpart in equalizing the distortion of four progressively more stressing f-mite impulse response channels for 8-PSK and 16-QAM signals. The results indicate that while the convergence behavior of both algorithms depends strongly on the transmitted constellation, LCMA exhibits superior performance for 16-QAM as the spectral dynamic range of the channel increases. Adaptive equalization, Digital communications.
Author: Publisher: ISBN: Category : Languages : en Pages : 8
Book Description
This paper presents an evaluation of the performance of the lattice constant modulus algorithm (LCMA) in blind channel equalization. The convergence performance of LCMA is compared to that of its transversal counterpart in equalizing the distortion of four progressively more stressing f-mite impulse response channels for 8-PSK and 16-QAM signals. The results indicate that while the convergence behavior of both algorithms depends strongly on the transmitted constellation, LCMA exhibits superior performance for 16-QAM as the spectral dynamic range of the channel increases. Adaptive equalization, Digital communications.
Author: Chong-Yung Chi Publisher: Springer Science & Business Media ISBN: 1846282187 Category : Technology & Engineering Languages : en Pages : 479
Book Description
The absence of training signals from many kinds of transmission necessitates the widespread use of blind equalization and system identification. There have been many algorithms developed for these purposes, working with one- or two-dimensional signals and with single-input single-output or multiple-input multiple-output, real or complex systems. It is now time for a unified treatment of this subject, pointing out the common characteristics of these algorithms as well as learning from their different perspectives. "Blind Equalization and System Identification" provides such a unified treatment presenting theory, performance analysis, simulation, implementation and applications. This is a textbook for graduate courses in discrete-time random processes, statistical signal processing, and blind equalization and system identification. It contains material which will also interest researchers and engineers working in digital communications, source separation, speech processing, and other, similar applications.
Author: Andrzej Cichocki Publisher: John Wiley & Sons ISBN: 9780471607915 Category : Science Languages : en Pages : 596
Book Description
Im Mittelpunkt dieses modernen und spezialisierten Bandes stehen adaptive Strukturen und unüberwachte Lernalgorithmen, besonders im Hinblick auf effektive Computersimulationsprogramme. Anschauliche Illustrationen und viele Beispiele sowie eine interaktive CD-ROM ergänzen den Text.
Author: Ali H. Sayed Publisher: John Wiley & Sons ISBN: 9780471461265 Category : Science Languages : en Pages : 1178
Book Description
This book is based on a graduate level course offered by the author at UCLA and has been classed tested there and at other universities over a number of years. This will be the most comprehensive book on the market today providing instructors a wide choice in designing their courses. * Offers computer problems to illustrate real life applications for students and professionals alike * An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.
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Author: 
Author: James Paul LeBlanc
Author: Roy Axford
Author: Gonzalo Javier Rey
Author: Chong-Yung Chi
Author: Andrzej Cichocki
Author: Yan Lin
Author: Shawn Patrick Neugebauer
Author: 
Author: Ali H. Sayed