Applied Neural Networks For Signal Processing
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Applied Neural Networks For Signal Processing
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Author : Fa-Long Luo
language : en
Publisher: Cambridge University Press
Release Date : 1998
Applied Neural Networks For Signal Processing written by Fa-Long Luo and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.
A comprehensive introduction to the use of neural networks in signal processing.
Applied Neural Networks For Signal Processing
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Author : F. L. Luo
language : en
Publisher:
Release Date : 1998
Applied Neural Networks For Signal Processing written by F. L. Luo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.
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 Of Neural Network Signal Processing
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Author : Yu Hen Hu
language : en
Publisher: CRC Press
Release Date : 2018-10-03
Handbook Of Neural Network Signal Processing written by Yu Hen Hu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Technology & Engineering categories.
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.
Neural Networks For Signal Processing
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Author : Bart Kosko
language : en
Publisher:
Release Date : 1992
Neural Networks For Signal Processing written by Bart Kosko and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
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 Applied To Signal Processing
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Author : Mark D. Baehre
language : en
Publisher:
Release Date : 1989
Neural Networks Applied To Signal Processing written by Mark D. Baehre and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with categories.
Application Of Signal Processing Tools And Artificial Neural Network In Diagnosis Of Power System Faults
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Author : Nabamita Banerjee Roy
language : en
Publisher: CRC Press
Release Date : 2021-07-21
Application Of Signal Processing Tools And Artificial Neural Network In Diagnosis Of Power System Faults written by Nabamita Banerjee Roy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-21 with Technology & Engineering categories.
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
Artificial Neural Networks For Digital Signal Processing
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Author : Sanjay Kumar Jha
language : en
Publisher:
Release Date : 1990
Artificial Neural Networks For Digital Signal Processing written by Sanjay Kumar Jha and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with categories.
Applying Neural Networks
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Author : Kevin Swingler
language : en
Publisher: Morgan Kaufmann
Release Date : 1996
Applying Neural Networks written by Kevin Swingler and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.
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.
Machine Learning In Signal Processing
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Author : Sudeep Tanwar
language : en
Publisher: CRC Press
Release Date : 2021-12-10
Machine Learning In Signal Processing written by Sudeep Tanwar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-10 with Technology & Engineering categories.
Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML). ML, as the driving force of the wave of artificial intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for ML. The focus is on understanding the contributions of signal processing and ML, and its aim to solve some of the biggest challenges in AI and ML. FEATURES Focuses on addressing the missing connection between signal processing and ML Provides a one-stop guide reference for readers Oriented toward material and flow with regards to general introduction and technical aspects Comprehensively elaborates on the material with examples and diagrams This book is a complete resource designed exclusively for advanced undergraduate students, post-graduate students, research scholars, faculties, and academicians of computer science and engineering, computer science and applications, and electronics and telecommunication engineering.
Neural Networks For Intelligent Signal Processing
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Author :
language : en
Publisher:
Release Date :
Neural Networks For Intelligent Signal Processing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.