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Books Books 31 - 40 of about 48 related to Adaptive Filters.   

Polynomial signal processing

V. John Mathews, Giovanni L. Sicuranza - Computers - 2000 - 452 pages
Despite our growing understanding of the properties and capabilities of nonlinear filters, there persists the belief among engineers that these filters are too complex to ...
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Introduction to Spectral Analysis

Petre Stoica - Mathematics - 1997 - 319 pages
This book presents an introduction to spectral analysis that is designed for either course use or self-study. Clear and concise in approach, it develops a firm understanding of ...
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SPAWC'99: 1999 2nd IEEE Workshop on Signal Processing Advances in Wireless ...

Technology & Engineering - 1999 - 417 pages
Aimed at personal communication engineers, the subjects covered in these proceedings include: CDMA; equalization; MMO; synchronization; multi-carrier systems; array processing ...
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Linear Algebra, Geodesy, and GPS

Gilbert Strang, Kai Borre - Technology & Engineering - 1997 - 624 pages
Discusses algorithms generally expressed in MATLAB for geodesy and global positioning. Three parts cover basic linear algebra, the application to the (linear and also nonlinear ...
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Stochastic Modelling and Control

Mark Davis - Science - 2013 - 394 pages
This book aims to provide a unified treatment of input/output modelling and of control for discrete-time dynamical systems subject to random disturbances. The results presented ...
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Digital signal and image processing

Tamal Bose - Computers - 2004 - 706 pages
SIGNAL PROCESSING, IMAGE PROCESSING, AND ADAPTIVE FILTERS--ALL IN ONE VOLUME! Introducing the first undergraduate textbook to combine the topics of digital signal processing ...
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Blind Deconvolution

Simon S. Haykin - Convolutions (Mathematics) - 1994 - 289 pages
This book is devoted to the study of the blind deconvolution problem - where it is impractical to assume the availability of the system input. It considers a variety of blind ...
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Principles of Neurocomputing for Science and Engineering

Fredric M. Ham, Ivica Kostanic - Technology & Engineering - 2001 - 642 pages
Neurocomputing can be applied to problems such as pattern recognition, optimization, event classification, control and identification of nonlinear systems, and statistical ...
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