Handbook of Neural Network Signal Processing

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Author :
Publisher : CRC Press
ISBN 13 : 1420038613
Total Pages : 408 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Handbook of Neural Network Signal Processing by : Yu Hen Hu

Download or read book Handbook of Neural Network Signal Processing written by Yu Hen Hu and published by CRC Press. This book was released on 2018-10-03 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of Neural Networks for Speech Processing

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Author :
Publisher : Artech House Publishers
ISBN 13 :
Total Pages : 560 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Handbook of Neural Networks for Speech Processing by : Shigeru Katagiri

Download or read book Handbook of Neural Networks for Speech Processing written by Shigeru Katagiri and published by Artech House Publishers. This book was released on 2000 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here are the comprehensive details on cutting edge technologies employing neural networks for speech recognition and speech processing in modern communications. Going far beyond the simple speech recognition technologies on the market today, this new book, written by and for speech and signal processing engineers in industry, R&D, and academia, takes you to the forefront of the hottest emergent neural net-based speech processing techniques.

Applied Neural Networks for Signal Processing

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Publisher : Cambridge University Press
ISBN 13 : 9780521644006
Total Pages : 388 pages
Book Rating : 4.6/5 (44 download)

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Book Synopsis Applied Neural Networks for Signal Processing by : Fa-Long Luo

Download or read book Applied Neural Networks for Signal Processing written by Fa-Long Luo and published by Cambridge University Press. This book was released on 1998 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to the use of neural networks in signal processing.

Handbook of Neural Computation

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Publisher : CRC Press
ISBN 13 : 1420050648
Total Pages : 1094 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Handbook of Neural Computation by : E Fiesler

Download or read book Handbook of Neural Computation written by E Fiesler and published by CRC Press. This book was released on 2020-01-15 with total page 1094 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems. The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar probl

Handbook of Neural Computing Applications

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Publisher : Academic Press
ISBN 13 : 148326484X
Total Pages : 470 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Handbook of Neural Computing Applications by : Alianna J. Maren

Download or read book Handbook of Neural Computing Applications written by Alianna J. Maren and published by Academic Press. This book was released on 2014-05-10 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Neural Computing Applications is a collection of articles that deals with neural networks. Some papers review the biology of neural networks, their type and function (structure, dynamics, and learning) and compare a back-propagating perceptron with a Boltzmann machine, or a Hopfield network with a Brain-State-in-a-Box network. Other papers deal with specific neural network types, and also on selecting, configuring, and implementing neural networks. Other papers address specific applications including neurocontrol for the benefit of control engineers and for neural networks researchers. Other applications involve signal processing, spatio-temporal pattern recognition, medical diagnoses, fault diagnoses, robotics, business, data communications, data compression, and adaptive man-machine systems. One paper describes data compression and dimensionality reduction methods that have characteristics, such as high compression ratios to facilitate data storage, strong discrimination of novel data from baseline, rapid operation for software and hardware, as well as the ability to recognized loss of data during compression or reconstruction. The collection can prove helpful for programmers, computer engineers, computer technicians, and computer instructors dealing with many aspects of computers related to programming, hardware interface, networking, engineering or design.

Neural Networks for Signal Processing

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Publisher :
ISBN 13 :
Total Pages : 424 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Neural Networks for Signal Processing by : Bart Kosko

Download or read book Neural Networks for Signal Processing written by Bart Kosko and published by . This book was released on 1992 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Neural Networks for Intelligent Signal Processing

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Publisher : World Scientific
ISBN 13 : 9812383050
Total Pages : 510 pages
Book Rating : 4.8/5 (123 download)

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Book Synopsis Neural Networks for Intelligent Signal Processing by : Anthony Zaknich

Download or read book Neural Networks for Intelligent Signal Processing written by Anthony Zaknich and published by World Scientific. This book was released on 2003 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Neural Networks for Intelligent Signal Processing

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Publisher :
ISBN 13 : 9814486469
Total Pages : pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Neural Networks for Intelligent Signal Processing by :

Download or read book Neural Networks for Intelligent Signal Processing written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Neural Engineering

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Publisher : John Wiley & Sons
ISBN 13 : 0470068280
Total Pages : 681 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Handbook of Neural Engineering by : Metin Akay

Download or read book Handbook of Neural Engineering written by Metin Akay and published by John Wiley & Sons. This book was released on 2007-01-09 with total page 681 pages. Available in PDF, EPUB and Kindle. Book excerpt: An important new work establishing a foundation for future developments in neural engineering The Handbook of Neural Engineering provides theoretical foundations in computational neural science and engineering and current applications in wearable and implantable neural sensors/probes. Inside, leading experts from diverse disciplinary groups representing academia, industry, and private and government organizations present peer-reviewed contributions on the brain-computer interface, nano-neural engineering, neural prostheses, imaging the brain, neural signal processing, the brain, and neurons. The Handbook of Neural Engineering covers: Neural signal and image processing--the analysis and modeling of neural activity and EEG-related activities using the nonlinear and nonstationary analysis methods, including the chaos, fractal, and time-frequency and time-scale analysis methods--and how to measure functional, physiological, and metabolic activities in the human brain using current and emerging medical imaging technologies Neuro-nanotechnology, artificial implants, and neural prosthesis--the design of multi-electrode arrays to study how the neurons of human and animals encode stimuli, the evaluation of functional changes in neural networks after stroke and spinal cord injuries, and improvements in therapeutic applications using neural prostheses Neurorobotics and neural rehabilitation engineering--the recent developments in the areas of biorobotic system, biosonar head, limb kinematics, and robot-assisted activity to improve the treatment of elderly subjects at the hospital and home, as well as the interactions of the neuron chip, neural information processing, perception and neural dynamics, learning memory and behavior, biological neural networks, and neural control

Neural Networks for Signal Processing

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (613 download)

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Book Synopsis Neural Networks for Signal Processing by :

Download or read book Neural Networks for Signal Processing written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fuzzy Logic and Neural Network Handbook

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Author :
Publisher : McGraw-Hill Companies
ISBN 13 :
Total Pages : 862 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Fuzzy Logic and Neural Network Handbook by : Chi-hau Chen

Download or read book Fuzzy Logic and Neural Network Handbook written by Chi-hau Chen and published by McGraw-Hill Companies. This book was released on 1996 with total page 862 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical reference that presents concise and comprehensive reports on the major activities in fuzzy logic and neural networks, with emphasis on the applications and systems of interest to computer engineers. Each of the 31 chapters focuses on the most important activity of a specific topic, and the chapters are organized into three parts: principles and algorithms; applications; and architectures and systems. The applications for fuzzy logic include home appliance design and manufacturing process; those for neural networks include radar, sonar, and speech signal processing, remote sensing, and electrical power systems. Annotation copyright by Book News, Inc., Portland, OR

Neural Networks for Signal Processing

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Publisher :
ISBN 13 :
Total Pages : 672 pages
Book Rating : 4.:/5 (637 download)

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Book Synopsis Neural Networks for Signal Processing by :

Download or read book Neural Networks for Signal Processing written by and published by . This book was released on 1998 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applying Neural Networks

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Publisher : Morgan Kaufmann
ISBN 13 : 9780126791709
Total Pages : 348 pages
Book Rating : 4.7/5 (917 download)

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Book Synopsis Applying Neural Networks by : Kevin Swingler

Download or read book Applying Neural Networks written by Kevin Swingler and published by Morgan Kaufmann. This book was released on 1996 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to enable the reader to design and run a neural network-based project. It presents everything the reader will need to know to ensure the success of such a project. The book contains a free disk with C and C++ programs, which implement many of the techniques discussed in the book.

Optical Signal Processing, Computing, and Neural Networks

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Publisher :
ISBN 13 : 9781575241586
Total Pages : 0 pages
Book Rating : 4.2/5 (415 download)

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Book Synopsis Optical Signal Processing, Computing, and Neural Networks by : Francis T. S. Yu

Download or read book Optical Signal Processing, Computing, and Neural Networks written by Francis T. S. Yu and published by . This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook offers an introductory survey examining information optics, linear and non-conventional processing, and numerical, symbolic and neural computing. It contains updated materials on optical signal processing, computing, and neural network areas.

Neural Networks for Optimization and Signal Processing

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Publisher :
ISBN 13 : 9783519064442
Total Pages : 526 pages
Book Rating : 4.0/5 (644 download)

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Book Synopsis Neural Networks for Optimization and Signal Processing by : Andrzej Cichocki

Download or read book Neural Networks for Optimization and Signal Processing written by Andrzej Cichocki and published by . This book was released on 1993-01 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applied Neural Networks for Signal Processing

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Publisher :
ISBN 13 :
Total Pages : 367 pages
Book Rating : 4.:/5 (71 download)

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Book Synopsis Applied Neural Networks for Signal Processing by : F. L. Luo

Download or read book Applied Neural Networks for Signal Processing written by F. L. Luo and published by . This book was released on 1998 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamental models of neural networks for signal processing; Neural networks for filtering; Neural networks for spectral estimation; neural networks for signal detection; Neural networks for signal reconstruction; Neural networks for adaptive extraction of principal and minor components; Neural networks for array signal processing; Neural networks for system identification; Neural networks for signal compression.

Handbook on Neural Information Processing

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Publisher : Springer Science & Business Media
ISBN 13 : 3642366570
Total Pages : 547 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Handbook on Neural Information Processing by : Monica Bianchini

Download or read book Handbook on Neural Information Processing written by Monica Bianchini and published by Springer Science & Business Media. This book was released on 2013-04-12 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contributions include: Deep architectures Recurrent, recursive, and graph neural networks Cellular neural networks Bayesian networks Approximation capabilities of neural networks Semi-supervised learning Statistical relational learning Kernel methods for structured data Multiple classifier systems Self organisation and modal learning Applications to content-based image retrieval, text mining in large document collections, and bioinformatics This book is thought particularly for graduate students, researchers and practitioners, willing to deepen their knowledge on more advanced connectionist models and related learning paradigms.