Fundamentals Of Adaptive Signal Processing

Author : Aurelio Uncini
Publisher : Springer
Page : 725 pages
File Size : 42,7 Mb
Release : 2014-12-30
Category : Technology & Engineering
ISBN : 9783319028071

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Fundamentals of Adaptive Signal Processing by Aurelio Uncini Pdf

This book is an accessible guide to adaptive signal processing methods that equips the reader with advanced theoretical and practical tools for the study and development of circuit structures and provides robust algorithms relevant to a wide variety of application scenarios. Examples include multimodal and multimedia communications, the biological and biomedical fields, economic models, environmental sciences, acoustics, telecommunications, remote sensing, monitoring and in general, the modeling and prediction of complex physical phenomena. The reader will learn not only how to design and implement the algorithms but also how to evaluate their performance for specific applications utilizing the tools provided. While using a simple mathematical language, the employed approach is very rigorous. The text will be of value both for research purposes and for courses of study.

Author : Widrow
Publisher : Pearson Education India
Page : 496 pages
File Size : 43,6 Mb
Release : 2016
Category : Electronic
ISBN : 8131705323

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Adaptive Signal Processing by Widrow Pdf

Author : Ali H. Sayed
Publisher : John Wiley & Sons
Page : 824 pages
File Size : 52,9 Mb
Release : 2011-10-11
Category : Science
ISBN : 9781118210840

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Adaptive Filters by Ali H. Sayed Pdf

Adaptive filtering is a topic of immense practical and theoretical value, having applications in areas ranging from digital and wireless communications to biomedical systems. This book enables readers to gain a gradual and solid introduction to the subject, its applications to a variety of topical problems, existing limitations, and extensions of current theories. The book consists of eleven parts?each part containing a series of focused lectures and ending with bibliographic comments, problems, and computer projects with MATLAB solutions.

Author : Bernard Widrow,Samuel D. Stearns
Publisher : Prentice Hall
Page : 504 pages
File Size : 51,8 Mb
Release : 1985
Category : Technology & Engineering
ISBN : UOM:49015002643568

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Adaptive Signal Processing by Bernard Widrow,Samuel D. Stearns Pdf

A comprehensive and practical treatment of adaptive signal processing featuring frequent use of examples.

Author : Tülay Adali,Simon Haykin
Publisher : John Wiley & Sons
Page : 428 pages
File Size : 54,9 Mb
Release : 2010-06-25
Category : Science
ISBN : 9780470575741

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Adaptive Signal Processing by Tülay Adali,Simon Haykin Pdf

Leading experts present the latest research results in adaptive signal processing Recent developments in signal processing have made it clear that significant performance gains can be achieved beyond those achievable using standard adaptive filtering approaches. Adaptive Signal Processing presents the next generation of algorithms that will produce these desired results, with an emphasis on important applications and theoretical advancements. This highly unique resource brings together leading authorities in the field writing on the key topics of significance, each at the cutting edge of its own area of specialty. It begins by addressing the problem of optimization in the complex domain, fully developing a framework that enables taking full advantage of the power of complex-valued processing. Then, the challenges of multichannel processing of complex-valued signals are explored. This comprehensive volume goes on to cover Turbo processing, tracking in the subspace domain, nonlinear sequential state estimation, and speech-bandwidth extension. Examines the seven most important topics in adaptive filtering that will define the next-generation adaptive filtering solutions Introduces the powerful adaptive signal processing methods developed within the last ten years to account for the characteristics of real-life data: non-Gaussianity, non-circularity, non-stationarity, and non-linearity Features self-contained chapters, numerous examples to clarify concepts, and end-of-chapter problems to reinforce understanding of the material Contains contributions from acknowledged leaders in the field Adaptive Signal Processing is an invaluable tool for graduate students, researchers, and practitioners working in the areas of signal processing, communications, controls, radar, sonar, and biomedical engineering.

Author : Dimitris G. Manolakis,Vinay K. Ingle,Stephen M. Kogon
Publisher : Artech House Publishers
Page : 824 pages
File Size : 52,7 Mb
Release : 2005
Category : Technology & Engineering
ISBN : STANFORD:36105114109536

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Statistical and Adaptive Signal Processing by Dimitris G. Manolakis,Vinay K. Ingle,Stephen M. Kogon Pdf

This authoritative volume on statistical and adaptive signal processing offers you a unified, comprehensive and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing. Packed with over 3,000 equations and more than 300 illustrations, this unique resource provides you with balanced coverage of implementation issues, applications, and theory, making it a smart choice for professional engineers and students alike.

Author : Lizhe Tan,Jean Jiang
Publisher : Academic Press
Page : 896 pages
File Size : 44,6 Mb
Release : 2013-01-21
Category : Technology & Engineering
ISBN : 9780124159822

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Digital Signal Processing by Lizhe Tan,Jean Jiang Pdf

Digital Signal Processing, Second Edition enables electrical engineers and technicians in the fields of biomedical, computer, and electronics engineering to master the essential fundamentals of DSP principles and practice. Many instructive worked examples are used to illustrate the material, and the use of mathematics is minimized for easier grasp of concepts. As such, this title is also useful to undergraduates in electrical engineering, and as a reference for science students and practicing engineers. The book goes beyond DSP theory, to show implementation of algorithms in hardware and software. Additional topics covered include adaptive filtering with noise reduction and echo cancellations, speech compression, signal sampling, digital filter realizations, filter design, multimedia applications, over-sampling, etc. More advanced topics are also covered, such as adaptive filters, speech compression such as PCM, u-law, ADPCM, and multi-rate DSP and over-sampling ADC. New to this edition: MATLAB projects dealing with practical applications added throughout the book New chapter (chapter 13) covering sub-band coding and wavelet transforms, methods that have become popular in the DSP field New applications included in many chapters, including applications of DFT to seismic signals, electrocardiography data, and vibration signals All real-time C programs revised for the TMS320C6713 DSK Covers DSP principles with emphasis on communications and control applications Chapter objectives, worked examples, and end-of-chapter exercises aid the reader in grasping key concepts and solving related problems Website with MATLAB programs for simulation and C programs for real-time DSP

Author : Ramon Nitzberg
Publisher : Artech House Publishers
Page : 336 pages
File Size : 55,5 Mb
Release : 1992
Category : Technology & Engineering
ISBN : UOM:39015022265295

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Adaptive Signal Processing for Radar by Ramon Nitzberg Pdf

Walks the reader through adaptive approaches to radar signal processing by detailing the basic concepts of various techniques and then developing equations to analyze their performance. Finally, it presents curves that illustrate the attained performance.

Author : John R. Treichler,C. Richard Johnson,Michael G. Larimore
Publisher : Wiley-Interscience
Page : 376 pages
File Size : 50,5 Mb
Release : 1987-09-09
Category : Mathematics
ISBN : UOM:39015012454990

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Theory and Design of Adaptive Filters by John R. Treichler,C. Richard Johnson,Michael G. Larimore Pdf

A comprehensive compilation of adaptive filtering concepts, algorithm forms, behavioral insights, and application guidelines useful for the engineer interested in designing appropriate adaptive filters for various applications and for students needing a cohesive pedagogy for initiation of basic research in adaptive theory. The analysis and design of three basic classes of adaptive filters are presented: adaptive finite-impulse-response (FIR) filters; adaptive infinite-impulse-response (IRR) filters; and adaptive property restoring filters. For the widely used FIR filters, the book offers the most popular analytical tools and distills a tutorial collection of insightful design guidelines of proven utility. For the more recently developed filters, it focuses on emerging theoretical foundations and suggested applications. The material is supplemented with listings of FORTRAN codes for basic algorithms and a real-time solution to one adaptive FIR filter problem using a Texas Instruments signal processing chip.

Author : W. Kenneth Jenkins,Andrew W. Hull,Jeffrey C. Strait,Bernard A. Schnaufer,Xiaohui Li
Publisher : Springer Science & Business Media
Page : 316 pages
File Size : 40,5 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781441986580

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Advanced Concepts in Adaptive Signal Processing by W. Kenneth Jenkins,Andrew W. Hull,Jeffrey C. Strait,Bernard A. Schnaufer,Xiaohui Li Pdf

Although adaptive filtering and adaptive array processing began with research and development efforts in the late 1950's and early 1960's, it was not until the publication of the pioneering books by Honig and Messerschmitt in 1984 and Widrow and Stearns in 1985 that the field of adaptive signal processing began to emerge as a distinct discipline in its own right. Since 1984 many new books have been published on adaptive signal processing, which serve to define what we will refer to throughout this book as conventional adaptive signal processing. These books deal primarily with basic architectures and algorithms for adaptive filtering and adaptive array processing, with many of them emphasizing practical applications. Most of the existing textbooks on adaptive signal processing focus on finite impulse response (FIR) filter structures that are trained with strategies based on steepest descent optimization, or more precisely, the least mean square (LMS) approximation to steepest descent. While literally hundreds of archival research papers have been published that deal with more advanced adaptive filtering concepts, none of the current books attempt to treat these advanced concepts in a unified framework. The goal of this new book is to present a number of important, but not so well known, topics that currently exist scattered in the research literature. The book also documents some new results that have been conceived and developed through research conducted at the University of Illinois during the past five years.

Author : Peter M. Clarkson
Publisher : Routledge
Page : 290 pages
File Size : 40,9 Mb
Release : 2017-11-01
Category : Technology & Engineering
ISBN : 9781351426763

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Optimal and Adaptive Signal Processing by Peter M. Clarkson Pdf

Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal processing using examples and computer simulations drawn from a wide range of applications, including speech and audio, communications, reflection seismology and sonar systems. The material is presented without a heavy reliance on mathematics and focuses on one-dimensional and array processing results, as well as a wide range of adaptive filter algorithms and implementations. Topics discussed include random signals and optimal processing, adaptive signal processing with the LMS algorithm, applications of adaptive filtering, algorithms and structures for adaptive filtering, spectral analysis, and array signal processing. Optimal and Adaptive Signal Processing is a valuable guide for scientists and engineers, as well as an excellent text for senior undergraduate/graduate level students in electrical engineering.

Author : Ali H. Sayed
Publisher : John Wiley & Sons
Page : 1172 pages
File Size : 47,5 Mb
Release : 2003-06-13
Category : Science
ISBN : 9780471461265

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Fundamentals of Adaptive Filtering by Ali H. Sayed Pdf

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.

Author : Simon Haykin,Bernard Widrow
Publisher : John Wiley & Sons
Page : 516 pages
File Size : 51,9 Mb
Release : 2003-09-08
Category : Technology & Engineering
ISBN : 0471215708

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Least-Mean-Square Adaptive Filters by Simon Haykin,Bernard Widrow Pdf

Edited by the original inventor of the technology. Includes contributions by the foremost experts in the field. The only book to cover these topics together.

Author : Michael M. Goodwin
Publisher : Springer Science & Business Media
Page : 259 pages
File Size : 48,6 Mb
Release : 2012-09-10
Category : Technology & Engineering
ISBN : 9781441986283

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Adaptive Signal Models by Michael M. Goodwin Pdf

Adaptive Signal Models: Theory, Algorithms and Audio Applications presents methods for deriving mathematical models of natural signals. The introduction covers the fundamentals of analysis-synthesis systems and signal representations. Some of the topics in the introduction include perfect and near-perfect reconstruction, the distinction between parametric and nonparametric methods, the role of compaction in signal modeling, basic and overcomplete signal expansions, and time-frequency resolution issues. These topics arise throughout the book as do a number of other topics such as filter banks and multiresolution. The second chapter gives a detailed development of the sinusoidal model as a parametric extension of the short-time Fourier transform. This leads to multiresolution sinusoidal modeling techniques in Chapter Three, where wavelet-like approaches are merged with the sinusoidal model to yield improved models. In Chapter Four, the analysis-synthesis residual is considered; for realistic synthesis, the residual must be separately modeled after coherent components (such as sinusoids) are removed. The residual modeling approach is based on psychoacoustically motivated nonuniform filter banks. Chapter Five deals with pitch-synchronous versions of both the wavelet and the Fourier transform; these allow for compact models of pseudo-periodic signals. Chapter Six discusses recent algorithms for deriving signal representations based on time-frequency atoms; primarily, the matching pursuit algorithm is reviewed and extended. The signal models discussed in the book are compact, adaptive, parametric, time-frequency representations that are useful for analysis, coding, modification, and synthesis of natural signals such as audio. The models are all interpreted as methods for decomposing a signal in terms of fundamental time-frequency atoms; these interpretations, as well as the adaptive and parametric natures of the models, serve to link the various methods dealt with in the text. Adaptive Signal Models: Theory, Algorithms and Audio Applications serves as an excellent reference for researchers of signal processing and may be used as a text for advanced courses on the topic.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 41,6 Mb
Release : 1991
Category : Electronic
ISBN : OCLC:746474738

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Adaptive Signal Processing by Anonim Pdf