Kernel Adaptive Filtering A Comprehensive Introduction by Weifeng Liu, Jose C. Principe, Simon Haykin PDF

By Weifeng Liu, Jose C. Principe, Simon Haykin

ISBN-10: 0470447532

ISBN-13: 9780470447536

Kurzbeschreibung

Online studying from a sign processing perspective

There is elevated curiosity in kernel studying algorithms in neural networks and a turning out to be want for nonlinear adaptive algorithms in complex sign processing, communications, and controls. Kernel Adaptive Filtering is the 1st e-book to offer a finished, unifying creation to on-line studying algorithms in reproducing kernel Hilbert areas. according to examine being carried out within the Computational Neuro-Engineering Laboratory on the college of Florida and within the Cognitive structures Laboratory at McMaster collage, Ontario, Canada, this specified source elevates the adaptive filtering thought to a brand new point, proposing a brand new layout method of nonlinear adaptive filters.
Covers the kernel least suggest squares set of rules, kernel affine projection algorithms, the kernel recursive least squares set of rules, the speculation of Gaussian approach regression, and the prolonged kernel recursive least squares algorithm
offers a strong model-selection procedure referred to as greatest marginal likelihood
Addresses the primary bottleneck of kernel adaptive filters--their turning out to be structure
positive factors twelve computer-oriented experiments to enhance the innovations, with MATLAB codes downloadable from the authors' internet site
* Concludes every one bankruptcy with a precis of the state-of-the-art and capability destiny instructions for unique research

Kernel Adaptive Filtering is perfect for engineers, laptop scientists, and graduate scholars drawn to nonlinear adaptive platforms for on-line functions (applications the place the information circulation arrives one pattern at a time and incremental optimum ideas are desirable). it's also an invaluable consultant if you search for nonlinear adaptive filtering methodologies to resolve sensible difficulties.

Buchrückseite

Online studying from a sign processing perspective

There is elevated curiosity in kernel studying algorithms in neural networks and a becoming want for nonlinear adaptive algorithms in complicated sign processing, communications, and controls. Kernel Adaptive Filtering is the 1st ebook to offer a entire, unifying advent to on-line studying algorithms in reproducing kernel Hilbert areas. in response to examine being performed within the Computational Neuro-Engineering Laboratory on the collage of Florida and within the Cognitive structures Laboratory at McMaster collage, Ontario, Canada, this certain source elevates the adaptive filtering concept to a brand new point, providing a brand new layout method of nonlinear adaptive filters.
Covers the kernel least suggest squares set of rules, kernel affine projection algorithms, the kernel recursive least squares set of rules, the idea of Gaussian procedure regression, and the prolonged kernel recursive least squares algorithm
provides a robust model-selection approach referred to as greatest marginal likelihood
Addresses the relevant bottleneck of kernel adaptive filters--their starting to be structure
positive aspects twelve computer-oriented experiments to augment the techniques, with MATLAB codes downloadable from the authors' net site
* Concludes every one bankruptcy with a precis of the cutting-edge and power destiny instructions for unique research

Kernel Adaptive Filtering is perfect for engineers, computing device scientists, and graduate scholars attracted to nonlinear adaptive platforms for on-line purposes (applications the place the information circulation arrives one pattern at a time and incremental optimum options are desirable). it's also an invaluable advisor if you search for nonlinear adaptive filtering methodologies to resolve functional difficulties.

Show description

Read Online or Download Kernel Adaptive Filtering A Comprehensive Introduction PDF

Best & telecommunications books

Gerhard Kramer, Ivana Maric, Roy D. Yates's Cooperative Communications (Foundations and Trends in PDF

Cooperative Communications reports growth in cooperative communique networks. It assembles a consultant pattern of modern effects to function a roadmap for the world. The emphasis is on instant networks, yet some of the effects observe to cooperation in wireline networks and combined wireless/wireline networks.

John Naughton's A Brief History of the Future: From Radio Days to Internet PDF

An intimate, gloriously written examine the communications revolution and the way it has spread out the realm. the net is the main extraordinary factor people have equipped because the pyramids. A millennium from now, historians will glance again at it and wonder humans built with such clumsy instruments succeeded in developing this type of leviathan.

Die Fourier-Transformation in der Signalverarbeitung: by Dietmar Achilles PDF

1. 1 EinfUhrendes Beispiel Aus den zahlreichen Anwendungen der Fourier-Transformation in der Signalverar beitung sei zur Einfilhrung ein Beispiel ausgew8. hlt, das einerseits besonders deut lich die tragende Rolle der Fourier-Transformation zeigt und andererseits eine Schilderung der Zusammenhange unmittelbar aus der Anschauung heraus gestattet: die Bestimrriung der Oberflachenstrukturen von Planeten durch Zeit-Frequenz-Ana lyse von Radarimpulsen.

Digital Signal Processing with Matlab Examples, Volume 1: by Jose Maria Giron-Sierra PDF

This is often the 1st quantity in a trilogy on glossy sign Processing. the 3 books offer a concise exposition of sign processing subject matters, and a advisor to aid person sensible exploration according to MATLAB courses. This publication contains MATLAB codes to demonstrate all the major steps of the idea, providing a self-contained advisor appropriate for self sustaining research.

Additional info for Kernel Adaptive Filtering A Comprehensive Introduction

Example text

First and foremost, we need to pick a kernel. ) leads to equivalent asymptotic accuracy. However, weight functions are not necessarily reproducing kernels and vice versa. 25)] is not bell-shaped and cannot be considered as a weight function. The RKHS approach examines more closely the eigenfunctions of the kernel and its richness for approximation. It is known that the Gaussian kernel (among many others such as the Laplacian) creates a reproducing kernel Hilbert space with universal approximating capability, whereas the polynomial kernel of finite order does not.

The filter is named after Rudolf E. Kalman based on his seminal papers [Kalman, 1960, Kalman and Bucy, 1961], although Thorvald Nicolai Thiele and Peter Swerling are found to have developed a similar algorithm earlier [Lauritzen, 1981]. A highlight application of the Kalman filter is perhaps its incorporation in the Apollo navigation computer. Two excellent textbooks for linear adaptive filtering were authored by Haykin [2002] and Sayed [2003]. 6. Nonlinear Adaptive Filters. The idea of nonlinear adaptive filter was proposed by Gabor in 1954, who was one of the early pioneers of communications theory.

This method of network growing is computationally intensive. Platt [1991] proposed a more feasible design called resource allocating networks, where the structure of a neural network was dynamically altered to optimize resource allocation. Since then, many researchers have proposed methods of both growing and pruning radial-basis function networks reported in Cheng and Lin [1994], Karayiannis and Mi [1997], and Huang et al. [2005]. Martinetz and Schulten [1991] started a new strand of research into growing networks by inventing the “neural gas” models, where the topologies were not predetermined and connections between nodes were added as needed.

Download PDF sample

Kernel Adaptive Filtering A Comprehensive Introduction by Weifeng Liu, Jose C. Principe, Simon Haykin


by William
4.4

Rated 4.67 of 5 – based on 13 votes