Nonlinear Digital Filters Book

Nonlinear Digital Filters


  • Author : Wing-Kuen Ling
  • Publisher : Academic Press
  • Release Date : 2007
  • Genre: Technology & Engineering
  • Pages : 206
  • ISBN 10 : 0123725364

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Nonlinear Digital Filters Excerpt :

This book provides an easy to understand overview of nonlinear behavior in digital filters, showing how it can be utilized or avoided when operating nonlinear digital filters. It gives techniques for analyzing discrete-time systems with discontinuous linearity, enabling the analysis of other nonlinear discrete-time systems, such as sigma delta modulators, digital phase lock loops and turbo coders. Features: • Uses new methods based on symbolic dynamics, enabling the engineer more easily to operate reliable nonlinear digital filters • Gives practical, 'real-world' applications of nonlinear digital filter • Includes many examples, together with Matlab source code available on an accompanying website Nonlinear Digital Filters: Analysis and Applications is ideal for professional engineers working with signal processing applications, as well as advanced undergraduates and graduates conducting a nonlinear filter analysis project. Companion website at http://books.elsevier.com/9780123725363 · Uses new methods based on symbolic dynamics, enabling the engineer more easily to operate reliable nonlinear digital filters · Gives practical, 'real-world' applications of nonlinear digital filter · Includes many examples, together with Matlab source code available on an accompanying website

Nonlinear Digital Filters Book

Nonlinear Digital Filters


  • Author : W. K. Ling
  • Publisher : Academic Press
  • Release Date : 2010-07-27
  • Genre: Technology & Engineering
  • Pages : 216
  • ISBN 10 : 0080550010

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Nonlinear Digital Filters Excerpt :

Nonlinear Digital Filters provides an easy to understand overview of nonlinear behavior in digital filters, showing how it can be utilized or avoided when operating nonlinear digital filters. It gives techniques for analyzing discrete-time systems with discontinuous linearity, enabling the analysis of other nonlinear discrete-time systems, such as sigma delta modulators, digital phase lock loops, and turbo coders. It uses new methods based on symbolic dynamics, enabling the engineer to easily operate reliable nonlinear digital filters. It gives practical, 'real-world' applications of nonlinear digital filters and contains many examples. The book is ideal for professional engineers working with signal processing applications, as well as advanced undergraduates and graduates conducting a nonlinear filter analysis project. Uses new methods based on symbolic dynamics, enabling the engineer more easily to operate reliable nonlinear digital filters Gives practical, "real-world" applications of nonlinear digital filter Includes many examples.

Fundamentals of Nonlinear Digital Filtering Book

Fundamentals of Nonlinear Digital Filtering


  • Author : Jaakko Astola
  • Publisher : CRC Press
  • Release Date : 1997-05-21
  • Genre: Technology & Engineering
  • Pages : 288
  • ISBN 10 : 0849325706

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Fundamentals of Nonlinear Digital Filtering Excerpt :

Fundamentals of Nonlinear Digital Filtering is the first book of its kind, presenting and evaluating current methods and applications in nonlinear digital filtering. Written for professors, researchers, and application engineers, as well as for serious students of signal processing, this is the only book available that functions as both a reference handbook and a textbook. Solid introductory material, balanced coverage of theoretical and practical aspects, and dozens of examples provide you with a self-contained, comprehensive information source on nonlinear filtering and its applications.

Nonlinear Digital Filters Book

Nonlinear Digital Filters


  • Author : Ioannis Pitas
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-03-14
  • Genre: Technology & Engineering
  • Pages : 392
  • ISBN 10 : 9781475760170

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Nonlinear Digital Filters Excerpt :

The function of a filter is to transform a signal into another one more suit able for a given purpose. As such, filters find applications in telecommunica tions, radar, sonar, remote sensing, geophysical signal processing, image pro cessing, and computer vision. Numerous authors have considered deterministic and statistical approaches for the study of passive, active, digital, multidimen sional, and adaptive filters. Most of the filters considered were linear although the theory of nonlinear filters is developing rapidly, as it is evident by the numerous research papers and a few specialized monographs now available. Our research interests in this area created opportunity for cooperation and co authored publications during the past few years in many nonlinear filter families described in this book. As a result of this cooperation and a visit from John Pitas on a research leave at the University of Toronto in September 1988, the idea for this book was first conceived. The difficulty in writing such a mono graph was that the area seemed fragmented and no general theory was available to encompass the many different kinds of filters presented in the literature. However, the similarities of some families of nonlinear filters and the need for such a monograph providing a broad overview of the whole area made the pro ject worthwhile. The result is the book now in your hands, typeset at the Department of Electrical Engineering of the University of Toronto during the summer of 1989.

Nonlinear Digital Filtering with Python Book

Nonlinear Digital Filtering with Python


  • Author : Ronald K. Pearson
  • Publisher : CRC Press
  • Release Date : 2018-09-03
  • Genre: Medical
  • Pages : 286
  • ISBN 10 : 9781498714136

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Nonlinear Digital Filtering with Python Excerpt :

Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a number of its extensions (e.g., weighted and recursive median filters), and Volterra filters based on polynomial nonlinearities. Adopting both structural and behavioral approaches in characterizing and designing nonlinear digital filters, this book: Begins with an expedient introduction to programming in the free, open-source computing environment of Python Uses results from algebra and the theory of functional equations to construct and characterize behaviorally defined nonlinear filter classes Analyzes the impact of a range of useful interconnection strategies on filter behavior, providing Python implementations of the presented filters and interconnection strategies Proposes practical, bottom-up strategies for designing more complex and capable filters from simpler components in a way that preserves the key properties of these components Illustrates the behavioral consequences of allowing recursive (i.e., feedback) interconnections in nonlinear digital filters while highlighting a challenging but promising research frontier Nonlinear Digital Filtering with Python: An Introduction supplies essential knowledge useful for developing and implementing data cleaning filters for dynamic data analysis and time-series modeling.

Introduction to Digital Filters Book
Score: 5
From 1 Ratings

Introduction to Digital Filters


  • Author : Julius O. Smith
  • Publisher : Julius Smith
  • Release Date : 2007
  • Genre: Computers
  • Pages : 460
  • ISBN 10 : 9780974560717

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Introduction to Digital Filters Excerpt :

A digital filter can be pictured as a "black box" that accepts a sequence of numbers and emits a new sequence of numbers. In digital audio signal processing applications, such number sequences usually represent sounds. For example, digital filters are used to implement graphic equalizers and other digital audio effects. This book is a gentle introduction to digital filters, including mathematical theory, illustrative examples, some audio applications, and useful software starting points. The theory treatment begins at the high-school level, and covers fundamental concepts in linear systems theory and digital filter analysis. Various "small" digital filters are analyzed as examples, particularly those commonly used in audio applications. Matlab programming examples are emphasized for illustrating the use and development of digital filters in practice.

Complex Valued Nonlinear Adaptive Filters Book

Complex Valued Nonlinear Adaptive Filters


  • Author : Danilo P. Mandic
  • Publisher : John Wiley & Sons
  • Release Date : 2009-04-20
  • Genre: Science
  • Pages : 344
  • ISBN 10 : 9780470742631

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Complex Valued Nonlinear Adaptive Filters Excerpt :

This book was written in response to the growing demand for a text that provides a unified treatment of linear and nonlinear complex valued adaptive filters, and methods for the processing of general complex signals (circular and noncircular). It brings together adaptive filtering algorithms for feedforward (transversal) and feedback architectures and the recent developments in the statistics of complex variable, under the powerful frameworks of CR (Wirtinger) calculus and augmented complex statistics. This offers a number of theoretical performance gains, which is illustrated on both stochastic gradient algorithms, such as the augmented complex least mean square (ACLMS), and those based on Kalman filters. This work is supported by a number of simulations using synthetic and real world data, including the noncircular and intermittent radar and wind signals.

Nonlinear Filtering Book

Nonlinear Filtering


  • Author : Jitendra R. Raol
  • Publisher : CRC Press
  • Release Date : 2017-07-12
  • Genre: Technology & Engineering
  • Pages : 556
  • ISBN 10 : 9781498745185

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Nonlinear Filtering Excerpt :

Nonlinear Filtering covers linear and nonlinear filtering in a comprehensive manner, with appropriate theoretic and practical development. Aspects of modeling, estimation, recursive filtering, linear filtering, and nonlinear filtering are presented with appropriate and sufficient mathematics. A modeling-control-system approach is used when applicable, and detailed practical applications are presented to elucidate the analysis and filtering concepts. MATLAB routines are included, and examples from a wide range of engineering applications - including aerospace, automated manufacturing, robotics, and advanced control systems - are referenced throughout the text.

Nonlinear Signal Processing Book

Nonlinear Signal Processing


  • Author : Gonzalo R. Arce
  • Publisher : John Wiley & Sons
  • Release Date : 2005-01-03
  • Genre: Science
  • Pages : 480
  • ISBN 10 : 9780471691846

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Nonlinear Signal Processing Excerpt :

Nonlinear Signal Processing: A Statistical Approach focuses onunifying the study of a broad and important class of nonlinearsignal processing algorithms which emerge from statisticalestimation principles, and where the underlying signals arenon-Gaussian, rather than Gaussian, processes. Notably, byconcentrating on just two non-Gaussian models, a large set of toolsis developed that encompass a large portion of the nonlinear signalprocessing tools proposed in the literature over the past severaldecades. Key features include: * Numerous problems at the end of each chapter to aid developmentand understanding * Examples and case studies provided throughout the book in a widerange of applications bring the text to life and place the theoryinto context * A set of 60+ MATLAB software m-files allowing the reader toquickly design and apply any of the nonlinear signal processingalgorithms described in the book to an application of interest isavailable on the accompanying FTP site.

Binary Polynomial Transforms and Non Linear Digital Filters Book

Binary Polynomial Transforms and Non Linear Digital Filters


  • Author : S. Agaian
  • Publisher : CRC Press
  • Release Date : 1995-04-27
  • Genre: Technology & Engineering
  • Pages : 336
  • ISBN 10 : 082479642X

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Binary Polynomial Transforms and Non Linear Digital Filters Excerpt :

This work offers a unified presentation of the theory of binary polynomial transforms and details their numerous applications in nonlinear signal processing. The book also: introduces the Rademacher logical functions; considers fast algorithms for computing Rademacher and polynomial logical functions; focuses attention on general auto- and cross-correlation functions; and more.;The work is intended for applied mathematicians; electrical, electronics and other engineers; computer scientists; and upper-level undergraduate and graduate students in these disciplines.

Nonlinear Digital Encoders for Data Communications Book

Nonlinear Digital Encoders for Data Communications


  • Author : Calin Vladeanu
  • Publisher : John Wiley & Sons
  • Release Date : 2014-03-06
  • Genre: Technology & Engineering
  • Pages : 151
  • ISBN 10 : 9781118815847

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Nonlinear Digital Encoders for Data Communications Excerpt :

This book presents digital encoders for data communications. After an introduction on data communications and different sequences, the authors present the frey encoder as a digital filter followed by the trellis-coded and parallel turbo trellis-coded modulation schemes using nonlinear digital encoders. The book contains many numerical examples that complete the description of the analyzed schemes. Also, some performance simulation results are provided. Appendixes include demonstrations for the mathematical apparatus used throughout the book and some Matlab/Simulink source files used to run the simulations. Therefore, students can easily understand the concepts presented in the book and to simulate the schemes.

Digital Image Processing Methods Book

Digital Image Processing Methods


  • Author : Edward R. Dougherty
  • Publisher : CRC Press
  • Release Date : 2020-08-27
  • Genre: Technology & Engineering
  • Pages : 504
  • ISBN 10 : 9781000148862

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Digital Image Processing Methods Excerpt :

This unique reference presents in-depth coverage of the latest methods and applications of digital image processing describing various computer architectures ideal for satisfying specific image processing demands.

Passive  Active  and Digital Filters Book

Passive Active and Digital Filters


  • Author : Wai-Kai Chen
  • Publisher : CRC Press
  • Release Date : 2018-10-08
  • Genre: Technology & Engineering
  • Pages : 838
  • ISBN 10 : 9781420058864

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Passive Active and Digital Filters Excerpt :

Upon its initial publication, The Circuits and Filters Handbook broke new ground. It quickly became the resource for comprehensive coverage of issues and practical information that can be put to immediate use. Not content to rest on his laurels, in addition to updating the second edition, editor Wai-Kai Chen divided it into tightly-focused texts that made the information easily accessible and digestible. These texts have been revised, updated, and expanded so that they continue to provide solid coverage of standard practices and enlightened perspectives on new and emerging techniques. Passive, Active, and Digital Filters provides an introduction to the characteristics of analog filters and a review of the design process and the tasks that need to be undertaken to translate a set of filter specifications into a working prototype. Highlights include discussions of the passive cascade synthesis and the synthesis of LCM and RC one-port networks; a summary of two-port synthesis by ladder development; a comparison of the cascade approach, the multiple-loop feedback topology, and ladder simulations; an examination of four types of finite wordlength effects; and coverage of methods for designing two-dimensional finite-extent impulse response (FIR) discrete-time filters. The book includes coverage of the basic building blocks involved in low- and high-order filters, limitations and practical design considerations, and a brief discussion of low-voltage circuit design. Revised Chapters: Sensitivity and Selectivity Switched-Capacitor Filters FIR Filters IIR Filters VLSI Implementation of Digital Filters Two-Dimensional FIR Filters Additional Chapters: 1-D Multirate Filter Banks Directional Filter Banks Nonlinear Filtering Using Statistical Signal Models Nonlinear Filtering for Image Denoising Video Demosaicking Filters This volume will undoubtedly take its place as the engineer's first choice in looking for solutions to problems encountered when designing filters.

Signal Processing for Neuroscientists Book

Signal Processing for Neuroscientists


  • Author : Wim van Drongelen
  • Publisher : Elsevier
  • Release Date : 2006-12-18
  • Genre: Science
  • Pages : 320
  • ISBN 10 : 008046775X

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Signal Processing for Neuroscientists Excerpt :

Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the ‘golden trio’ in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging from data acquisition to data processing; and from the mathematical background of the analysis to the practical application of processing algorithms. Overall, the approach to the mathematics is informal with a focus on basic understanding of the methods and their interrelationships rather than detailed proofs or derivations. One of the principle goals is to provide the reader with the background required to understand the principles of commercially available analyses software, and to allow him/her to construct his/her own analysis tools in an environment such as MATLAB®. Multiple color illustrations are integrated in the text Includes an introduction to biomedical signals, noise characteristics, and recording techniques Basics and background for more advanced topics can be found in extensive notes and appendices A Companion Website hosts the MATLAB scripts and several data files: http://www.elsevierdirect.com/companion.jsp?ISBN=9780123708670