Nonlinear Digital Filters

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  • Publisher : Academic Press
  • Release : 15 August 2022
  • ISBN : 0123725364
  • Page : 206 pages
  • Rating : 4.5/5 from 103 voters

Nonlinear Digital Filters Book PDF summary

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

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Nonlinear Digital Filters

Nonlinear Digital Filters
  • Author : Wing-Kuen Ling
  • Publisher : Academic Press
  • Release Date : 2007
  • ISBN : 0123725364
DOWNLOAD BOOKNonlinear Digital Filters

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

Fundamentals of Nonlinear Digital Filtering

Fundamentals of Nonlinear Digital Filtering
  • Author : Jaakko Astola,Pauli Kuosmanen
  • Publisher : CRC Press
  • Release Date : 1997-05-21
  • ISBN : 0849325706
DOWNLOAD BOOKFundamentals of Nonlinear Digital Filtering

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

Nonlinear Digital Filters

Nonlinear Digital Filters
  • Author : Ioannis Pitas,Anastasios N. Venetsanopoulos
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-03-14
  • ISBN : 9781475760170
DOWNLOAD BOOKNonlinear Digital Filters

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

Nonlinear Digital Filtering with Python

Nonlinear Digital Filtering with Python
  • Author : Ronald K. Pearson,Moncef Gabbouj
  • Publisher : CRC Press
  • Release Date : 2018-09-03
  • ISBN : 9781498714136
DOWNLOAD BOOKNonlinear Digital Filtering with Python

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

Nonlinear Digital Filters

Nonlinear Digital Filters
  • Author : W. K. Ling
  • Publisher : Academic Press
  • Release Date : 2010-07-27
  • ISBN : 0080550010
DOWNLOAD BOOKNonlinear Digital Filters

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'

Fundamentals of Nonlinear Digital Filtering

Fundamentals of Nonlinear Digital Filtering
  • Author : Jaakko Astola,Pauli Kuosmanen
  • Publisher : CRC Press
  • Release Date : 2019-12
  • ISBN : 0367448254
DOWNLOAD BOOKFundamentals of Nonlinear Digital Filtering

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

Introduction to Digital Filters

Introduction to Digital Filters
  • Author : Julius O. Smith
  • Publisher : Julius Smith
  • Release Date : 2007
  • ISBN : 9780974560717
DOWNLOAD BOOKIntroduction to Digital Filters

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,

Nonlinear Filtering

Nonlinear Filtering
  • Author : Jitendra R. Raol,Girija Gopalratnam,Bhekisipho Twala
  • Publisher : CRC Press
  • Release Date : 2017-07-12
  • ISBN : 9781498745185
DOWNLOAD BOOKNonlinear Filtering

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

Complex Valued Nonlinear Adaptive Filters

Complex Valued Nonlinear Adaptive Filters
  • Author : Danilo P. Mandic,Vanessa Su Lee Goh
  • Publisher : John Wiley & Sons
  • Release Date : 2009-04-20
  • ISBN : 9780470742631
DOWNLOAD BOOKComplex Valued Nonlinear Adaptive Filters

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,

Nonlinear Signal Processing

Nonlinear Signal Processing
  • Author : Gonzalo R. Arce
  • Publisher : John Wiley & Sons
  • Release Date : 2005-01-03
  • ISBN : 9780471691846
DOWNLOAD BOOKNonlinear Signal Processing

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

Binary Polynomial Transforms and Non-Linear Digital Filters

Binary Polynomial Transforms and Non-Linear Digital Filters
  • Author : S. Agaian,Jaakko Astola,Karen Egiazarian
  • Publisher : CRC Press
  • Release Date : 1995-04-27
  • ISBN : 082479642X
DOWNLOAD BOOKBinary Polynomial Transforms and Non-Linear Digital Filters

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

Nonlinear Digital Encoders for Data Communications
  • Author : Calin Vladeanu,Safwan El Assad
  • Publisher : John Wiley & Sons
  • Release Date : 2014-03-06
  • ISBN : 9781118815847
DOWNLOAD BOOKNonlinear Digital Encoders for Data Communications

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

Nonlinear Filters

Nonlinear Filters
  • Author : Hisashi Tanizaki
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-03-09
  • ISBN : 9783662032237
DOWNLOAD BOOKNonlinear Filters

Nonlinear and nonnormal filters are introduced and developed. Traditional nonlinear filters such as the extended Kalman filter and the Gaussian sum filter give biased filtering estimates, and therefore several nonlinear and nonnormal filters have been derived from the underlying probability density functions. The density-based nonlinear filters introduced in this book utilize numerical integration, Monte-Carlo integration with importance sampling or rejection sampling and the obtained filtering estimates are asymptotically unbiased and efficient. By Monte-Carlo simulation studies, all the nonlinear filters are

Digital Synthesis of Nonlinear Filters

Digital Synthesis of Nonlinear Filters
  • Author : Richard S. Bucy,Kenneth D. Senne,UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES DEPT OF AEROSPACE ENGINEERING.
  • Publisher : Unknown
  • Release Date : 1970
  • ISBN : OCLC:227595580
DOWNLOAD BOOKDigital Synthesis of Nonlinear Filters

The paper presents a technique for constructing the optimal nonlinear filter using a digital computer. The viewpoint differs fundamentally from almost all previous work in that the state of the nonlinear estimator, the conditional density of the signal given the observations, is represented as a set of point masses on a moving grid. Although the method leads to very accurate realizations of optimal nonlinear filters, there is an inherent drawback in that on exponential dependency of computation time upon dimension

Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications

Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications
  • Author : Huber, Marco
  • Publisher : KIT Scientific Publishing
  • Release Date : 2015-03-11
  • ISBN : 9783731503385
DOWNLOAD BOOKNonlinear Gaussian Filtering : Theory, Algorithms, and Applications