Neural Networks For Signal Processing

Author : Yu Hen Hu,Jenq-Neng Hwang
Publisher : CRC Press
Page : 408 pages
File Size : 52,7 Mb
Release : 2018-10-03
Category : Technology & Engineering
ISBN : 9781420038613

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Handbook of Neural Network Signal Processing by Yu Hen Hu,Jenq-Neng Hwang Pdf

The use of neural networks is permeating every area of signal processing. They can provide powerful means for solving many problems, especially in nonlinear, real-time, adaptive, and blind signal processing. The Handbook of Neural Network Signal Processing brings together applications that were previously scattered among various publications to provide an up-to-date, detailed treatment of the subject from an engineering point of view. The authors cover basic principles, modeling, algorithms, architectures, implementation procedures, and well-designed simulation examples of audio, video, speech, communication, geophysical, sonar, radar, medical, and many other signals. The subject of neural networks and their application to signal processing is constantly improving. You need a handy reference that will inform you of current applications in this new area. The Handbook of Neural Network Signal Processing provides this much needed service for all engineers and scientists in the field.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 49,5 Mb
Release : 2024-06-14
Category : Electronic
ISBN : 9789814486460

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Neural Networks for Intelligent Signal Processing by Anonim Pdf

Author : Fa-Long Luo,Rolf Unbehauen
Publisher : Cambridge University Press
Page : 388 pages
File Size : 51,7 Mb
Release : 1998
Category : Computers
ISBN : 0521644003

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Applied Neural Networks for Signal Processing by Fa-Long Luo,Rolf Unbehauen Pdf

A comprehensive introduction to the use of neural networks in signal processing.

Author : Bart Kosko
Publisher : Unknown
Page : 424 pages
File Size : 54,6 Mb
Release : 1992
Category : Computers
ISBN : UOM:39015021992261

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Neural Networks for Signal Processing by Bart Kosko Pdf

Edited by a leading expert in neural networks, this collection of essays explores neural network applications in signal and image processing, function and estimation, robotics and control, associative memories, and electrical and optical neural networks. This reference will be of interest to scientists, engineers, and others working in the neural network field.

Author : Nabamita Banerjee Roy,Kesab Bhattacharya
Publisher : CRC Press
Page : 144 pages
File Size : 53,5 Mb
Release : 2021-07-21
Category : Technology & Engineering
ISBN : 9781000414905

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Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults by Nabamita Banerjee Roy,Kesab Bhattacharya Pdf

Explores methods of fault identification through programming and simulation in MATLAB Examines signal processing tools and their applications with examples Provides knowledge of artificial neural networks and their applications with illustrations Uses PNN and BPNN to identify the different types of faults and obtain their corresponding locations Discusses the programming of signal processing using Wavelet Transform and S-Transform

Author : Anthony Zaknich
Publisher : World Scientific
Page : 510 pages
File Size : 55,5 Mb
Release : 2003
Category : Technology & Engineering
ISBN : 9789812383051

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Neural Networks for Intelligent Signal Processing by Anthony Zaknich Pdf

This book provides a thorough theoretical and practical introduction to the application of neural networks to pattern recognition and intelligent signal processing. It has been tested on students, unfamiliar with neural networks, who were able to pick up enough details to successfully complete their masters or final year undergraduate projects. The text also presents a comprehensive treatment of a class of neural networks called common bandwidth spherical basis function NNs, including the probabilistic NN, the modified probabilistic NN and the general regression NN.

Author : Da Ruan
Publisher : Springer Science & Business Media
Page : 506 pages
File Size : 47,8 Mb
Release : 2000-01-14
Category : Business & Economics
ISBN : 379081251X

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Fuzzy Systems and Soft Computing in Nuclear Engineering by Da Ruan Pdf

This book is an organized edited collection of twenty-one contributed chapters covering nuclear engineering applications of fuzzy systems, neural networks, genetic algorithms and other soft computing techniques. All chapters are either updated review or original contributions by leading researchers written exclusively for this volume. The volume highlights the advantages of applying fuzzy systems and soft computing in nuclear engineering, which can be viewed as complementary to traditional methods. As a result, fuzzy sets and soft computing provide a powerful tool for solving intricate problems pertaining in nuclear engineering. Each chapter of the book is self-contained and also indicates the future research direction on this topic of applications of fuzzy systems and soft computing in nuclear engineering.

Author : Andrzej Cichocki,R. Unbehauen
Publisher : John Wiley & Sons
Page : 578 pages
File Size : 45,9 Mb
Release : 1993-06-07
Category : Computers
ISBN : UOM:39015029550657

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Neural Networks for Optimization and Signal Processing by Andrzej Cichocki,R. Unbehauen Pdf

A topical introduction on the ability of artificial neural networks to not only solve on-line a wide range of optimization problems but also to create new techniques and architectures. Provides in-depth coverage of mathematical modeling along with illustrative computer simulation results.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 49,7 Mb
Release : 2024-06-14
Category : Electronic
ISBN : OCLC:613579906

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Neural Networks for Signal Processing by Anonim Pdf

Author : Bhanu Prasad,S.R.M. Prasanna
Publisher : Springer Science & Business Media
Page : 419 pages
File Size : 47,7 Mb
Release : 2008-01-03
Category : Computers
ISBN : 9783540753971

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Speech, Audio, Image and Biomedical Signal Processing using Neural Networks by Bhanu Prasad,S.R.M. Prasanna Pdf

Humans are remarkable in processing speech, audio, image and some biomedical signals. Artificial neural networks are proved to be successful in performing several cognitive, industrial and scientific tasks. This peer reviewed book presents some recent advances and surveys on the applications of artificial neural networks in the areas of speech, audio, image and biomedical signal processing. It chapters are prepared by some reputed researchers and practitioners around the globe.

Author : Ramana Vinjamuri
Publisher : BoD – Books on Demand
Page : 144 pages
File Size : 45,8 Mb
Release : 2020-09-09
Category : Medical
ISBN : 9781789841138

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Advances in Neural Signal Processing by Ramana Vinjamuri Pdf

Neural signal processing is a specialized area of signal processing aimed at extracting information or decoding intent from neural signals recorded from the central or peripheral nervous system. This has significant applications in the areas of neuroscience and neural engineering. These applications are famously known in the area of brain–machine interfaces. This book presents recent advances in this flourishing field of neural signal processing with demonstrative applications.

Author : Timothy Masters
Publisher : Unknown
Page : 442 pages
File Size : 54,7 Mb
Release : 1994-07-25
Category : Computers
ISBN : UOM:39015033951974

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Signal and Image Processing with Neural Networks by Timothy Masters Pdf

The first book to offer practical applications of neural networks to solve problems in digital signal processing and imaging. A highly practical book with a minimum of math and a wealth of examples. Disk includes a complete program for training, testing, and using neural networks along with C++ subroutines for all techniques discussed and source for the book's example code.

Author : Xingui He,Shaohua Xu
Publisher : Springer Science & Business Media
Page : 240 pages
File Size : 44,6 Mb
Release : 2010-07-05
Category : Computers
ISBN : 9783540737629

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Process Neural Networks by Xingui He,Shaohua Xu Pdf

For the first time, this book sets forth the concept and model for a process neural network. You’ll discover how a process neural network expands the mapping relationship between the input and output of traditional neural networks and greatly enhances the expression capability of artificial neural networks. Detailed illustrations help you visualize information processing flow and the mapping relationship between inputs and outputs.

Author : Anonim
Publisher : Unknown
Page : 672 pages
File Size : 48,9 Mb
Release : 1998
Category : Electronic
ISBN : OCLC:637867562

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Neural Networks for Signal Processing by Anonim Pdf

Author : David P. Morgan,Christopher L. Scofield
Publisher : Springer Science & Business Media
Page : 402 pages
File Size : 54,5 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461539506

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Neural Networks and Speech Processing by David P. Morgan,Christopher L. Scofield Pdf

We would like to take this opportunity to thank all of those individ uals who helped us assemble this text, including the people of Lockheed Sanders and Nestor, Inc., whose encouragement and support were greatly appreciated. In addition, we would like to thank the members of the Lab oratory for Engineering Man-Machine Systems (LEMS) and the Center for Neural Science at Brown University for their frequent and helpful discussions on a number of topics discussed in this text. Although we both attended Brown from 1983 to 1985, and had offices in the same building, it is surprising that we did not meet until 1988. We also wish to thank Kluwer Academic Publishers for their profes sionalism and patience, and the reviewers for their constructive criticism. Thanks to John McCarthy for performing the final proof, and to John Adcock, Chip Bachmann, Deborah Farrow, Nathan Intrator, Michael Perrone, Ed Real, Lance Riek and Paul Zemany for their comments and assistance. We would also like to thank Khrisna Nathan, our most unbi ased and critical reviewer, for his suggestions for improving the content and accuracy of this text. A special thanks goes to Steve Hoffman, who was instrumental in helping us perform the experiments described in Chapter 9.