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Fourier Transforms, Filtering, Probability and Random Processes, Gibson


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Автор: Gibson   (Гибсон)
Название:  Fourier Transforms, Filtering, Probability and Random Processes
Перевод названия: Гибсон: Преобразования Фурье, фильтрация, вероятность и случайные процессы
ISBN: 9783031195792
Издательство: Springer
Классификация:





ISBN-10: 3031195795
Обложка/Формат: Hardback
Страницы: 156
Вес: 0.46 кг.
Дата издания: 07.03.2023
Серия: Synthesis lectures on communications
Язык: English
Издание: 1st ed. 2023
Иллюстрации: 69 illustrations, black and white; vii, 156 p. 69 illus.
Размер: 240 x 168
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Подзаголовок: Introduction to communication systems
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book provides the background and the mathematical methods necessary to understand the basic transforms in signal processing and linear systems and probability and random processes to prepare for in depth study of analog and digital communications systems. This tutorial presentation provides developments of Fourier series and other orthogonal series, including trigonometric and complex exponential Fourier series, least squares approximations and generalized Fourier series, and the spectral content of periodic signals. This text thoroughly covers Fourier transform pairs for continuous time signals, Fourier transform properties, and the magnitude and phase of Fourier transforms. The author includes discussions of techniques for the analysis of continuous time linear systems in the time and frequency domains with particular emphasis on the system transfer function, impulse response, system/filter bandwidth, power and energy calculations, and the time domain sampling theorem. The basics of probability and random processes, including the key concepts of expected value, variance, characteristic functions, common probability distributions, autocorrelation, power spectral densities, wide sense stationarity, and ergodicity, are all developed in some detail. Many examples and problems are included to illustrate and examine these topics. • Provides developments of Fourier series and other orthogonal series • Presents fundamental Fourier transform properties and example applications • Discusses techniques for the analysis of continuous time linear systems in the time and frequency domains • Presents a fundamental development of probability and random variables • Develops the basic ideas of random processes including autocorrelation, power spectral densities, stationarity, and ergodicity
Дополнительное описание: Preface.- Orthogonal Functions an Fourier Series.- Fourier Transforms.- Linear Systems.- Convolution and Filtering.



Kalman Filtering: Theory and Practice with MATLAB

Автор: Mohinder S. Grewal,Angus P. Andrews
Название: Kalman Filtering: Theory and Practice with MATLAB
ISBN: 1118851218 ISBN-13(EAN): 9781118851210
Издательство: Wiley
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Цена: 18050.00 р.
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Описание: The definitive textbook and professional reference on Kalman Filtering fully updated, revised, and expanded This book contains the latest developments in the implementation and application of Kalman filtering.

Algorithms for Discrete Fourier Transform and Convolution

Автор: Richard Tolimieri; Myoung An; Chao Lu
Название: Algorithms for Discrete Fourier Transform and Convolution
ISBN: 0387982612 ISBN-13(EAN): 9780387982618
Издательство: Springer
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Цена: 23508.00 р.
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Описание: This graduate-level text provides a language for understanding, unifying, and implementing a wide variety of algorithms for digital signal processing - in particular, to provide rules and procedures that can simplify or even automate the task of writing code for the newest parallel and vector machines.

Algorithms for Discrete Fourier Transform and Convolution

Автор: Richard Tolimieri; Myoung An; Chao Lu
Название: Algorithms for Discrete Fourier Transform and Convolution
ISBN: 1441931155 ISBN-13(EAN): 9781441931153
Издательство: Springer
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Цена: 19589.00 р.
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Описание: This graduate-level text provides a language for understanding, unifying, and implementing a wide variety of algorithms for digital signal processing - in particular, to provide rules and procedures that can simplify or even automate the task of writing code for the newest parallel and vector machines.

Stochastic Evolution Systems

Автор: Rozovsky
Название: Stochastic Evolution Systems
ISBN: 331994892X ISBN-13(EAN): 9783319948928
Издательство: Springer
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Цена: 11878.00 р.
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Описание: Covering the general theory of linear stochastic evolution systems with unbounded drift and diffusion operators, this book sureys Ito`s second-order parabolic equations and explores filtering problems for processes whose trajectories can be described by them.

Adaptive Filtering

Автор: Poularikas
Название: Adaptive Filtering
ISBN: 1482253356 ISBN-13(EAN): 9781482253351
Издательство: Taylor&Francis
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Цена: 15312.00 р.
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Описание:

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(R) 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(R), 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(R) clearly describes the key principles of adaptive filtering and effectively demonstrates how to apply them to solve real-world problems.

Stochastic Evolution Systems

Автор: Boris L. Rozovsky; Sergey V. Lototsky
Название: Stochastic Evolution Systems
ISBN: 3030069338 ISBN-13(EAN): 9783030069339
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This monograph, now in a thoroughly revised second edition, develops the theory of stochastic calculus in Hilbert spaces and applies the results to the study of generalized solutions of stochastic parabolic equations.The emphasis lies on second-order stochastic parabolic equations and their connection to random dynamical systems. The authors further explore applications to the theory of optimal non-linear filtering, prediction, and smoothing of partially observed diffusion processes. The new edition now also includes a chapter on chaos expansion for linear stochastic evolution systems.This book will appeal to anyone working in disciplines that require tools from stochastic analysis and PDEs, including pure mathematics, financial mathematics, engineering and physics.

Topographical tools for filtering and segmentation 1

Автор: Meyer, Fernand
Название: Topographical tools for filtering and segmentation 1
ISBN: 1786301571 ISBN-13(EAN): 9781786301574
Издательство: Wiley
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Цена: 22010.00 р.
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Описание:

Mathematical morphology has developed a powerful methodology for segmenting images, based on connected filters and watersheds. We have chosen the abstract framework of node- or edge-weighted graphs for an extensive mathematical and algorithmic description of these tools.

Volume 1 is devoted to watersheds. The topography of a graph appears by observing the evolution of a drop of water moving from node to node on a weighted graph, along flowing paths, until it reaches regional minima. The upstream nodes of a regional minimum constitute its catchment zone.

The catchment zones may be constructed independently of each other and locally, in contrast with the traditional approach where the catchment basins have to be constructed all at the same time. Catchment zones may overlap, and thus, a new segmentation paradigm is proposed in which catchment zones cover each other according to a priority order. The resulting partition may then be corrected, by local and parallel treatments, in order to achieve the desired precision.

Optimal Filtering

Автор: V.N. Fomin
Название: Optimal Filtering
ISBN: 0792352866 ISBN-13(EAN): 9780792352860
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Considers methods of optimal signal processing. This book features the generalized filtering theory that includes branches like the Wiener-Kolmogorov and Kalman-Bucy theories, as well as semidegenerate processes and minimax filtering.

Mathematics of Multidimensional Fourier Transform Algorithms

Автор: Richard Tolimieri; Myoung An; Chao Lu
Название: Mathematics of Multidimensional Fourier Transform Algorithms
ISBN: 1461273528 ISBN-13(EAN): 9781461273523
Издательство: Springer
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Цена: 13060.00 р.
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Описание: Developing algorithms for multi-dimensional Fourier transforms, this book presents results that yield highly efficient code on a variety of vector and parallel computers.

Adaptive Filtering

Автор: Diniz
Название: Adaptive Filtering
ISBN: 1461441056 ISBN-13(EAN): 9781461441052
Издательство: Springer
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Цена: 15372.00 р.
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Описание: In its 4th edition, this book reviews basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner, covering the main classes of adaptive filtering algorithms and using clear notation to facilitate implementation.

Bayesian Signal Processing: Classical, Modern and Particle Filtering Methods

Автор: Candy
Название: Bayesian Signal Processing: Classical, Modern and Particle Filtering Methods
ISBN: 0470180943 ISBN-13(EAN): 9780470180945
Издательство: Wiley
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Цена: 17899.00 р.
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Описание: This book presents a unique viewpoint of signal processing from the Bayesian perspective in contrast to the pure statistical approach found in many textbooks. It features the next generation of processors that have recently been enabled with the advent of high speed/high throughput computers. The emphasis is on nonlinear/non-Gaussian problems, but classical techniques are included as special cases to enable the reader familiar with such methods to draw a parallel between the approaches. The common ground is the model sets. This text brings the reader from the classical methods of model-based signal processing including Kalman filtering for linear, linearized and approximate nonlinear processors as well as the recently developed unscented or sigma-point filters to the next generation of processors that will clearly dominate the future of model-based signal processing for years to come. Current applications (e.g. structures, tracking, equalization, biomedical) and simple examples to motivate the organization of the text are discussed. Examples are given to motivate all of the models and prepare the reader for further developments in subsequent chapters. In each case the processor along with accompanying simulations are discussed and applied to various data sets demonstrating the applicability and power of the Bayesian approach. The proposed text will be linked to the MATLAB (signal processing standard software) software package providing Notes as well as simple coding examples for illustrative purposes.

Kernel Adaptive Filtering

Автор: Principe Jose C
Название: Kernel Adaptive Filtering
ISBN: 0470447532 ISBN-13(EAN): 9780470447536
Издательство: Wiley
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Цена: 16782.00 р.
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Описание: * On-line learning is a fundamental tool in adaptive signalprocessing * Presents on-line learning from a signal processingperspective.


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