Adaptive Filtering Primer With Matlab

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Adaptive Filtering Primer with MATLAB

Alexander D. Poularikas,Zayed M. Ramadan
Adaptive Filtering Primer with MATLAB Book PDF

Author : Alexander D. Poularikas,Zayed M. Ramadan
Publisher : CRC Press
Page : 240 pages
File Size : 41,9 Mb
Release : 2017-12-19
Category : Technology & Engineering
ISBN : 9781420006384

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Adaptive Filtering Primer with MATLAB by Alexander D. Poularikas,Zayed M. Ramadan Pdf

Because of the wide use of adaptive filtering in digital signal processing and, because most of the modern electronic devices include some type of an adaptive filter, a text that brings forth the fundamentals of this field was necessary. The material and the principles presented in this book are easily accessible to engineers, scientists, and students who would like to learn the fundamentals of this field and have a background at the bachelor level. Adaptive Filtering Primer with MATLAB® clearly explains the fundamentals of adaptive filtering supported by numerous examples and computer simulations. The authors introduce discrete-time signal processing, random variables and stochastic processes, the Wiener filter, properties of the error surface, the steepest descent method, and the least mean square (LMS) algorithm. They also supply many MATLAB® functions and m-files along with computer experiments to illustrate how to apply the concepts to real-world problems. The book includes problems along with hints, suggestions, and solutions for solving them. An appendix on matrix computations completes the self-contained coverage. With applications across a wide range of areas, including radar, communications, control, medical instrumentation, and seismology, Adaptive Filtering Primer with MATLAB® is an ideal companion for quick reference and a perfect, concise introduction to the field.

Discrete Random Signal Processing and Filtering Primer with MATLAB

Alexander D. Poularikas
Discrete Random Signal Processing and Filtering Primer with MATLAB Book PDF

Author : Alexander D. Poularikas
Publisher : CRC Press
Page : 300 pages
File Size : 53,8 Mb
Release : 2018-10-03
Category : Technology & Engineering
ISBN : 9781420089349

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Discrete Random Signal Processing and Filtering Primer with MATLAB by Alexander D. Poularikas Pdf

Engineers in all fields will appreciate a practical guide that combines several new effective MATLAB® problem-solving approaches and the very latest in discrete random signal processing and filtering. Numerous Useful Examples, Problems, and Solutions – An Extensive and Powerful Review Written for practicing engineers seeking to strengthen their practical grasp of random signal processing, Discrete Random Signal Processing and Filtering Primer with MATLAB provides the opportunity to doubly enhance their skills. The author, a leading expert in the field of electrical and computer engineering, offers a solid review of recent developments in discrete signal processing. The book also details the latest progress in the revolutionary MATLAB language. A Practical Self-Tutorial That Transcends Theory The author introduces an incremental discussion of signal processing and filtering, and presents several new methods that can be used for a more dynamic analysis of random digital signals with both linear and non-linear filtering. Ideal as a self-tutorial, this book includes numerous examples and functions, which can be used to select parameters, perform simulations, and analyze results. This concise guide encourages readers to use MATLAB functions – and those new ones introduced as Book MATLAB Functions – to substitute many different combinations of parameters, giving them a firm grasp of how much each parameter affects results. Much more than a simple review of theory, this book emphasizes problem solving and result analysis, enabling readers to take a hands-on approach to advance their own understanding of MATLAB and the way it is used within signal processing and filtering.

Adaptive Filtering

Alexander D. Poularikas
Adaptive Filtering Book PDF

Author : Alexander D. Poularikas
Publisher : CRC Press
Page : 363 pages
File Size : 45,9 Mb
Release : 2017-12-19
Category : Mathematics
ISBN : 9781482253368

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Adaptive Filtering by Alexander D. Poularikas Pdf

Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® covers the core concepts of this important field, focusing on a vital part of the statistical signal processing area—the least mean square (LMS) adaptive filter. This largely self-contained text: Discusses random variables, stochastic processes, vectors, matrices, determinants, discrete random signals, and probability distributions Explains how to find the eigenvalues and eigenvectors of a matrix and the properties of the error surfaces Explores the Wiener filter and its practical uses, details the steepest descent method, and develops the Newton’s algorithm Addresses the basics of the LMS adaptive filter algorithm, considers LMS adaptive filter variants, and provides numerous examples Delivers a concise introduction to MATLAB®, supplying problems, computer experiments, and more than 110 functions and script files Featuring robust appendices complete with mathematical tables and formulas, Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® clearly describes the key principles of adaptive filtering and effectively demonstrates how to apply them to solve real-world problems.

Transforms and Applications Primer for Engineers with Examples and MATLAB®

Alexander D. Poularikas
Transforms and Applications Primer for Engineers with Examples and MATLAB Book PDF

Author : Alexander D. Poularikas
Publisher : CRC Press
Page : 567 pages
File Size : 53,6 Mb
Release : 2018-09-03
Category : Technology & Engineering
ISBN : 9781420089325

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Transforms and Applications Primer for Engineers with Examples and MATLAB® by Alexander D. Poularikas Pdf

Transforms and Applications Primer for Engineers with Examples and MATLAB® is required reading for engineering and science students, professionals, and anyone working on problems involving transforms. This invaluable primer contains the most essential integral transforms that both practicing engineers and students need to understand. It provides a large number of examples to explain the use of transforms in different areas, including circuit analysis, differential equations, signals and systems, and mechanical vibrations. Includes an appendix with suggestions and explanations to help you optimize your use of MATLAB Laplace and Fourier transforms are by far the most widely used and most useful of all integral transforms, so they are given a more extensive treatment in this book, compared to other texts that include them. Offering numerous MATLAB functions created by the author, this comprehensive book contains several appendices to complement the main subjects. Perhaps the most important feature is the extensive tables of transforms, which are provided to supplement the learning process. This book presents advanced material in a format that makes it easier to understand, further enhancing its immense value as a teaching tool for engineers and research scientists in academia and industry, as well as students in science and engineering.

Signals and Systems Primer with MATLAB

Alexander D. Poularikas
Signals and Systems Primer with MATLAB Book PDF

Author : Alexander D. Poularikas
Publisher : CRC Press
Page : 680 pages
File Size : 54,5 Mb
Release : 2018-10-03
Category : Technology & Engineering
ISBN : 9781420006957

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Signals and Systems Primer with MATLAB by Alexander D. Poularikas Pdf

Signals and Systems Primer with MATLAB® equally emphasizes the fundamentals of both analog and digital signals and systems. To ensure insight into the basic concepts and methods, the text presents a variety of examples that illustrate a wide range of applications, from microelectromechanical to worldwide communication systems. It also provides MATLAB functions and procedures for practice and verification of these concepts. Taking a pedagogical approach, the author builds a solid foundation in signal processing as well as analog and digital systems. The book first introduces orthogonal signals, linear and time-invariant continuous-time systems, discrete-type systems, periodic signals represented by Fourier series, Gibbs's phenomenon, and the sampling theorem. After chapters on various transforms, the book discusses analog filter design, both finite and infinite impulse response digital filters, and the fundamentals of random digital signal processing, including the nonparametric spectral estimation. The final chapter presents different types of filtering and their uses for random digital signal processing, specifically, the use of Wiener filtering and least mean squares filtering. Balancing the study of signals with system modeling and interactions, this text will help readers accurately develop mathematical representations of systems.

Adaptive Filtering

Paulo Sergio Ramirez Diniz
Adaptive Filtering Book PDF

Author : Paulo Sergio Ramirez Diniz
Publisher : Springer Science & Business Media
Page : 594 pages
File Size : 41,8 Mb
Release : 2002
Category : Adaptive filters
ISBN : 1402071256

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Adaptive Filtering by Paulo Sergio Ramirez Diniz Pdf

Adaptive Filtering: Algorithms and Practical Implementation, Second Edition, presents a concise overview of adaptive filtering, covering as many algorithms as possible in a unified form that avoids repetition and simplifies notation. It is suitable as a textbook for senior undergraduate or first-year graduate courses in adaptive signal processing and adaptive filters. The philosophy of the presentation is to expose the material with a solid theoretical foundation, to concentrate on algorithms that really work in a finite-precision implementation, and to provide easy access to working algorithms. Hence, practicing engineers and scientists will also find the book to be an excellent reference. This second edition contains a substantial amount of new material: -Two new chapters on nonlinear and subband adaptive filtering; -Linearly constrained Weiner filters and LMS algorithms; -LMS algorithm behavior in fast adaptation; -Affine projection algorithms; -Derivation smoothing; -MATLAB codes for algorithms. An instructor's manual, a set of master transparencies, and the MATLAB codes for all of the algorithms described in the text are also available. Useful to both professional researchers and students, the text includes 185 problems; over 38 examples, and over 130 illustrations. It is of primary interest to those working in signal processing, communications, and circuits and systems. It will also be of interest to those working in power systems, networks, learning systems, and intelligent systems.

Least-Mean-Square Adaptive Filters

Simon Haykin,Bernard Widrow
Least Mean Square Adaptive Filters Book PDF

Author : Simon Haykin,Bernard Widrow
Publisher : John Wiley & Sons
Page : 516 pages
File Size : 54,8 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.

Adaptive IIR Filtering in Signal Processing and Control

Phillip Regalia
Adaptive IIR Filtering in Signal Processing and Control Book PDF

Author : Phillip Regalia
Publisher : Routledge
Page : 299 pages
File Size : 43,6 Mb
Release : 2018-04-27
Category : Technology & Engineering
ISBN : 9781351468947

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Adaptive IIR Filtering in Signal Processing and Control by Phillip Regalia Pdf

Integrates rational approximation with adaptive filtering, providing viable, numerically reliable procedures for creating adaptive infinite impulse response (IIR) filters. The choice of filter structure to adapt, algorithm design and the approximation properties for each type of algorithm are also addressed. This work recasts the theory of adaptive IIR filters by concentrating on recursive lattice filters, freeing systems from the need for direct-form filters.;A solutions manual is available for instructors only. College or university bookstores may order five or more copies at a special student price which is available upon request.

Adaptive Filtering

Paulo S. R. Diniz
Adaptive Filtering Book PDF

Author : Paulo S. R. Diniz
Publisher : Springer Science & Business Media
Page : 636 pages
File Size : 49,9 Mb
Release : 2008-05-22
Category : Technology & Engineering
ISBN : 9780387686066

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Adaptive Filtering by Paulo S. R. Diniz Pdf

This book presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner, using clear notations that facilitate actual implementation. Important algorithms are described in detailed tables which allow the reader to verify learned concepts. The book covers the family of LMS and algorithms as well as set-membership, sub-band, blind, IIR adaptive filtering, and more. The book is also supported by a web page maintained by the author.

Unsupervised Signal Processing

João Marcos Travassos Romano,Romis Attux,Charles Casimiro Cavalcante,Ricardo Suyama
Unsupervised Signal Processing Book PDF

Author : João Marcos Travassos Romano,Romis Attux,Charles Casimiro Cavalcante,Ricardo Suyama
Publisher : CRC Press
Page : 340 pages
File Size : 46,6 Mb
Release : 2018-09-03
Category : Computers
ISBN : 9781420019469

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Unsupervised Signal Processing by João Marcos Travassos Romano,Romis Attux,Charles Casimiro Cavalcante,Ricardo Suyama Pdf

Unsupervised Signal Processing: Channel Equalization and Source Separation provides a unified, systematic, and synthetic presentation of the theory of unsupervised signal processing. Always maintaining the focus on a signal processing-oriented approach, this book describes how the subject has evolved and assumed a wider scope that covers several topics, from well-established blind equalization and source separation methods to novel approaches based on machine learning and bio-inspired algorithms. From the foundations of statistical and adaptive signal processing, the authors explore and elaborate on emerging tools, such as machine learning-based solutions and bio-inspired methods. With a fresh take on this exciting area of study, this book: Provides a solid background on the statistical characterization of signals and systems and on linear filtering theory Emphasizes the link between supervised and unsupervised processing from the perspective of linear prediction and constrained filtering theory Addresses key issues concerning equilibrium solutions and equivalence relationships in the context of unsupervised equalization criteria Provides a systematic presentation of source separation and independent component analysis Discusses some instigating connections between the filtering problem and computational intelligence approaches. Building on more than a decade of the authors’ work at DSPCom laboratory, this book applies a fresh conceptual treatment and mathematical formalism to important existing topics. The result is perhaps the first unified presentation of unsupervised signal processing techniques—one that addresses areas including digital filters, adaptive methods, and statistical signal processing. With its remarkable synthesis of the field, this book provides a new vision to stimulate progress and contribute to the advent of more useful, efficient, and friendly intelligent systems.

Theory and Design of Adaptive Filters

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

Author : John R. Treichler,C. Richard Johnson,Michael G. Larimore
Publisher : Pearson Education
Page : 376 pages
File Size : 46,7 Mb
Release : 2001
Category : Adaptive filters
ISBN : UCSD:31822029824786

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

Rather than superficially examining an extensive list of possible applications benefiting from adaptive filter use, the authors examine four such problems in detail and review the common attributes that are shared with many other applications of adaptive filtering.The authors develop the basic rules and algorithms for filter performance and provide tools for design, along with an appreciation of the complexity of behavioral analysis. Derivations and convergence discussions are kept to a basic level. The presentation focuses on a few principles and applies them to a series of motivating examples, that include in-depth discussion of implementation aspects for filter design not found in other books.Serves as a valuable reference for practicing engineers.

Starting Digital Signal Processing in Telecommunication Engineering

Tomasz P. Zieliński
Starting Digital Signal Processing in Telecommunication Engineering Book PDF

Author : Tomasz P. Zieliński
Publisher : Springer Nature
Page : 874 pages
File Size : 40,9 Mb
Release : 2021-01-29
Category : Technology & Engineering
ISBN : 9783030492564

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Starting Digital Signal Processing in Telecommunication Engineering by Tomasz P. Zieliński Pdf

This hands-on, laboratory driven textbook helps readers understand principles of digital signal processing (DSP) and basics of software-based digital communication, particularly software-defined networks (SDN) and software-defined radio (SDR). In the book only the most important concepts are presented. Each book chapter is an introduction to computer laboratory and is accompanied by complete laboratory exercises and ready-to-go Matlab programs with figures and comments (available at the book webpage and running also in GNU Octave 5.2 with free software packages), showing all or most details of relevant algorithms. Students are tasked to understand programs, modify them, and apply presented concepts to recorded real RF signal or simulated received signals, with modelled transmission condition and hardware imperfections. Teaching is done by showing examples and their modifications to different real-world telecommunication-like applications. The book consists of three parts: introduction to DSP (spectral analysis and digital filtering), introduction to DSP advanced topics (multi-rate, adaptive, model-based and multimedia - speech, audio, video - signal analysis and processing) and introduction to software-defined modern telecommunication systems (SDR technology, analog and digital modulations, single- and multi-carrier systems, channel estimation and correction as well as synchronization issues). Many real signals are processed in the book, in the first part – mainly speech and audio, while in the second part – mainly RF recordings taken from RTL-SDR USB stick and ADALM-PLUTO module, for example captured IQ data of VOR avionics signal, classical FM radio with RDS, digital DAB/DAB+ radio and 4G-LTE digital telephony. Additionally, modelling and simulation of some transmission scenarios are tested in software in the book, in particular TETRA, ADSL and 5G signals.​ Provides an introduction to digital signal processing and software-based digital communication; Presents a transition from digital signal processing to software-defined telecommunication; Features a suite of pedagogical materials including a laboratory test-bed and computer exercises/experiments​​.

Signals, Systems, Transforms, and Digital Signal Processing with MATLAB

Michael Corinthios
Signals Systems Transforms and Digital Signal Processing with MATLAB Book PDF

Author : Michael Corinthios
Publisher : CRC Press
Page : 1256 pages
File Size : 52,6 Mb
Release : 2018-09-03
Category : Technology & Engineering
ISBN : 9781420090499

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Signals, Systems, Transforms, and Digital Signal Processing with MATLAB by Michael Corinthios Pdf

Signals, Systems, Transforms, and Digital Signal Processing with MATLAB® has as its principal objective simplification without compromise of rigor. Graphics, called by the author, "the language of scientists and engineers", physical interpretation of subtle mathematical concepts, and a gradual transition from basic to more advanced topics are meant to be among the important contributions of this book. After illustrating the analysis of a function through a step-by-step addition of harmonics, the book deals with Fourier and Laplace transforms. It then covers discrete time signals and systems, the z-transform, continuous- and discrete-time filters, active and passive filters, lattice filters, and continuous- and discrete-time state space models. The author goes on to discuss the Fourier transform of sequences, the discrete Fourier transform, and the fast Fourier transform, followed by Fourier-, Laplace, and z-related transforms, including Walsh–Hadamard, generalized Walsh, Hilbert, discrete cosine, Hartley, Hankel, Mellin, fractional Fourier, and wavelet. He also surveys the architecture and design of digital signal processors, computer architecture, logic design of sequential circuits, and random signals. He concludes with simplifying and demystifying the vital subject of distribution theory. Drawing on much of the author’s own research work, this book expands the domains of existence of the most important transforms and thus opens the door to a new world of applications using novel, powerful mathematical tools.

Digital Signal Processing with Examples in MATLAB

Samuel D. Stearns,Donald R. Hush
Digital Signal Processing with Examples in MATLAB Book PDF

Author : Samuel D. Stearns,Donald R. Hush
Publisher : CRC Press
Page : 257 pages
File Size : 48,7 Mb
Release : 2016-04-19
Category : Technology & Engineering
ISBN : 9781000755633

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Digital Signal Processing with Examples in MATLAB by Samuel D. Stearns,Donald R. Hush Pdf

Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today's powerful computing capabilities, they can be used in a wide range of application areas, including engineering, communicati

Fundamentals of Digital Image Processing

Chris Solomon,Toby Breckon
Fundamentals of Digital Image Processing Book PDF

Author : Chris Solomon,Toby Breckon
Publisher : John Wiley & Sons
Page : 364 pages
File Size : 43,8 Mb
Release : 2011-07-05
Category : Science
ISBN : 9781119957003

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Fundamentals of Digital Image Processing by Chris Solomon,Toby Breckon Pdf

This is an introductory to intermediate level text on the science of image processing, which employs the Matlab programming language to illustrate some of the elementary, key concepts in modern image processing and pattern recognition. The approach taken is essentially practical and the book offers a framework within which the concepts can be understood by a series of well chosen examples, exercises and computer experiments, drawing on specific examples from within science, medicine and engineering. Clearly divided into eleven distinct chapters, the book begins with a fast-start introduction to image processing to enhance the accessibility of later topics. Subsequent chapters offer increasingly advanced discussion of topics involving more challenging concepts, with the final chapter looking at the application of automated image classification (with Matlab examples) . Matlab is frequently used in the book as a tool for demonstrations, conducting experiments and for solving problems, as it is both ideally suited to this role and is widely available. Prior experience of Matlab is not required and those without access to Matlab can still benefit from the independent presentation of topics and numerous examples. Features a companion website www.wiley.com/go/solomon/fundamentals containing a Matlab fast-start primer, further exercises, examples, instructor resources and accessibility to all files corresponding to the examples and exercises within the book itself. Includes numerous examples, graded exercises and computer experiments to support both students and instructors alike.