Adaptive Filtering: Algorithms and Practical Implementation, Diniz Paulo S. R.
Автор: Mohinder S. Grewal,Angus P. Andrews Название: Kalman Filtering: Theory and Practice with MATLAB ISBN: 1118851218 ISBN-13(EAN): 9781118851210 Издательство: Wiley Рейтинг: Цена: 18050.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Paulo S R Diniz Название: Adaptive Filtering ISBN: 0792399129 ISBN-13(EAN): 9780792399124 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A presentation of adaptive filtering, covering as many algorithms as possible while avoiding adapting notations and derivations related to the different algorithms. It points out the algorithms which really work in a finite-precision implementation, and provides access to the working algorithms for the practicing engineer.
Автор: Diniz Название: Adaptive Filtering ISBN: 1461441056 ISBN-13(EAN): 9781461441052 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Kazuhiko Ozeki Название: Theory of Affine Projection Algorithms for Adaptive Filtering ISBN: 4431557377 ISBN-13(EAN): 9784431557371 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on theoretical aspects of the affine projection algorithm (APA) for adaptive filtering.
Автор: Kazuhiko Ozeki Название: Theory of Affine Projection Algorithms for Adaptive Filtering ISBN: 4431563105 ISBN-13(EAN): 9784431563105 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on theoretical aspects of the affine projection algorithm (APA) for adaptive filtering.
Автор: Principe Jose C Название: Kernel Adaptive Filtering ISBN: 0470447532 ISBN-13(EAN): 9780470447536 Издательство: Wiley Рейтинг: Цена: 16782.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: * On-line learning is a fundamental tool in adaptive signalprocessing * Presents on-line learning from a signal processingperspective.
Автор: K.J. Astr?m; G.C. Goodwin; P.R. Kumar Название: Adaptive Control, Filtering, and Signal Processing ISBN: 1461264391 ISBN-13(EAN): 9781461264392 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The area of adaptive systems, which encompasses recursive identification, adaptive control, filtering, and signal processing, has been one of the most active areas of the past decade.
Автор: Poularikas Название: Adaptive Filtering ISBN: 1482253356 ISBN-13(EAN): 9781482253351 Издательство: Taylor&Francis Рейтинг: Цена: 15312.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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