Adaptive IIR Filtering in Signal Processing and Control, Regalia, Phillip
Автор: Principe Jose C Название: Kernel Adaptive Filtering ISBN: 0470447532 ISBN-13(EAN): 9780470447536 Издательство: Wiley Рейтинг: Цена: 111880.00 T 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: 0387979883 ISBN-13(EAN): 9780387979885 Издательство: Springer Рейтинг: Цена: 194730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The area of adaptive systems encompasses recursive identification, adaptive control, filtering, and signal processing. Since adaptive controllers are fundamentally nonlinear controllers which are applied to nominally linear, possibly stochastic and time-varying systems, their theoretical analysis is usually very difficult.
Автор: Candy Название: Bayesian Signal Processing: Classical, Modern and Particle Filtering Methods ISBN: 0470180943 ISBN-13(EAN): 9780470180945 Издательство: Wiley Рейтинг: Цена: 119330.00 T Наличие на складе: Поставка под заказ. 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.
Автор: Dimitris G. Manolakis Название: Statisical and Adaptive Signal Processing ISBN: 1580536107 ISBN-13(EAN): 9781580536103 Издательство: Artech House Рейтинг: Цена: 194110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Originally published by McGraw-Hill and now reissued by Artech House, this definitive volume offers a unified, comprehensive and practical treatment of statistical and adaptive signal processing. Written by leading experts in industry and academia, the book covers the most important aspects of the subject, such as spectral estimation, signal modeling, adaptive filtering, and array processing.
Автор: Poularikas Название: Adaptive Filtering ISBN: 1482253356 ISBN-13(EAN): 9781482253351 Издательство: Taylor&Francis Рейтинг: Цена: 102080.00 T 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.
Автор: C.S. Burrus; S. Unnikrishna Pillai Название: Array Signal Processing ISBN: 1461281865 ISBN-13(EAN): 9781461281863 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is intended as an introduction to array signal process- ing, where the principal objectives are to make use of the available multiple sensor information in an efficient manner to detect and possi- bly estimate the signals and their parameters present in the scene.
Автор: Richard Tolimieri; Myoung An; Chao Lu Название: Algorithms for Discrete Fourier Transform and Convolution ISBN: 0387982612 ISBN-13(EAN): 9780387982618 Издательство: Springer Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: MILIC Ljiljana Название: Multirate Filtering for Digital Signal Processing: MATLAB Applications ISBN: 1605661783 ISBN-13(EAN): 9781605661780 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 137940.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Multirate signal processing techniques are widely used in many areas of modern engineering such as communications, digital audio, measurements, image and signal processing, speech processing, and multimedia. This book covers basic and advanced approaches in the design and implementation of multirate filtering.
Автор: Nirode C. Mohanty Название: Signal Processing ISBN: 9401170460 ISBN-13(EAN): 9789401170468 Издательство: Springer Рейтинг: Цена: 113190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Signal processing arises in the design of such diverse systems as communications, sonar, radar, electrooptical, navigation, electronic warfare and medical imaging systems.
Автор: Jerry M. Mendel; C.S. Burrus Название: Maximum-Likelihood Deconvolution ISBN: 1461279852 ISBN-13(EAN): 9781461279853 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Earlier approaches to MLD, which are couched in the language of state-variable models and estimation theory, are unnecessary to understand the essence of MLD. MLD is a model-based signal processing procedure, because it is based on a signal model, namely the convolutional model.
Автор: Narayan Kovvali, Mahesh Banavar, Andreas Spanias Название: An Introduction to Kalman Filtering with MATLAB Examples ISBN: 1627051392 ISBN-13(EAN): 9781627051392 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 41580.00 T Наличие на складе: Невозможна поставка. Описание: The Kalman filter is the Bayesian optimum solution to the problem of sequentially estimating the states of a dynamical system in which the state evolution and measurement processes are both linear and Gaussian. Given the ubiquity of such systems, the Kalman filter finds use in a variety of applications. This book presents a brief introduction to Kalman filtering.
Автор: Poularikas, Alexander D. Название: Discrete Random Signal Processing and Filtering Primer with MATLAB ISBN: 0367386313 ISBN-13(EAN): 9780367386313 Издательство: Taylor&Francis Рейтинг: Цена: 67360.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Engineers in all fields will appreciate a practical guide that combines several new effective MATLAB(R) 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.
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