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Blind Equalization In Neural Networks


Blind Equalization In Neural Networks
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Blind Equalization In Neural Networks


Blind Equalization In Neural Networks
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Author : Liyi Zhang
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2017-12-18

Blind Equalization In Neural Networks written by Liyi Zhang and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-18 with Computers categories.


The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms in recurrent networks, fuzzy networks and other frequently-studied neural networks. Each algorithm is accompanied by derivation, modeling and simulation, making the book an essential reference for electrical engineers, computer intelligence researchers and neural scientists.



Blind Equalization Using Artificial Neural Networks


Blind Equalization Using Artificial Neural Networks
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Author : Chiu Fai Wong
language : en
Publisher:
Release Date : 1994

Blind Equalization Using Artificial Neural Networks written by Chiu Fai Wong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with categories.




Blind Equalization In Neural Networks


Blind Equalization In Neural Networks
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Author : Liyi Zhang
language : en
Publisher:
Release Date : 2018

Blind Equalization In Neural Networks written by Liyi Zhang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Neural networks (Computer science) categories.




Blind Equalization And Identification


Blind Equalization And Identification
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Author : Zhi Ding
language : en
Publisher: CRC Press
Release Date : 2018-10-08

Blind Equalization And Identification written by Zhi Ding and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-08 with Technology & Engineering categories.


This text seeks to clarify various contradictory claims regarding capabilities and limitations of blind equalization. It highlights basic operating conditions and potential for malfunction. The authors also address concepts and principles of blind algorithms for single input multiple output (SIMO) systems and multi-user extensions of SIMO equalization and identification.



Complex Valued Neural Networks Utilizing High Dimensional Parameters


Complex Valued Neural Networks Utilizing High Dimensional Parameters
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Author : Nitta, Tohru
language : en
Publisher: IGI Global
Release Date : 2009-02-28

Complex Valued Neural Networks Utilizing High Dimensional Parameters written by Nitta, Tohru and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-02-28 with Computers categories.


"This book covers the current state-of-the-art theories and applications of neural networks with high-dimensional parameters"--Provided by publisher.



Blind Equalization Using Neural Networks And Higher Order Statistics


Blind Equalization Using Neural Networks And Higher Order Statistics
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Author : Rui Li
language : en
Publisher:
Release Date : 2000

Blind Equalization Using Neural Networks And Higher Order Statistics written by Rui Li and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.




Neuro Fuzzy Equalizers For Mobile Cellular Channels


Neuro Fuzzy Equalizers For Mobile Cellular Channels
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Author : K.C. Raveendranathan
language : en
Publisher: CRC Press
Release Date : 2017-11-22

Neuro Fuzzy Equalizers For Mobile Cellular Channels written by K.C. Raveendranathan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-22 with Computers categories.


Equalizers are present in all forms of communication systems. Neuro-Fuzzy Equalizers for Mobile Cellular Channels details the modeling of a mobile broadband communication channel and designing of a neuro-fuzzy adaptive equalizer for it. This book focuses on the concept of the simulation of wireless channel equalizers using the adaptive-network-based fuzzy inference system (ANFIS). The book highlights a study of currently existing equalizers for wireless channels. It discusses several techniques for channel equalization, including the type-2 fuzzy adaptive filter (type-2 FAF), compensatory neuro-fuzzy filter (CNFF), and radial basis function (RBF) neural network. Neuro-Fuzzy Equalizers for Mobile Cellular Channels starts with a brief introduction to channel equalizers, and the nature of mobile cellular channels with regard to the frequency reuse and the resulting CCI. It considers the many channel models available for mobile cellular channels, establishes the mobile indoor channel as a Rayleigh fading channel, presents the channel equalization problem, and focuses on various equalizers for mobile cellular channels. The book discusses conventional equalizers like LE and DFE using a simple LMS algorithm and transversal equalizers. It also covers channel equalization with neural networks and fuzzy logic, and classifies various equalizers. This being a fairly new branch of study, the book considers in detail the concept of fuzzy logic controllers in noise cancellation problems and provides the fundamental concepts of neuro-fuzzy. The final chapter offers a recap and explores venues for further research. This book also establishes a common mathematical framework of the equalizers using the RBF model and develops a mathematical model for ultra-wide band (UWB) channels using the channel co-variance matrix (CCM). Introduces the novel concept of the application of adaptive-network-based fuzzy inference system (ANFIS) in the design of wireless channel equalizers Provides model ultra-wide band (UWB) channels using channel co-variance matrix Offers a formulation of a unified radial basis function (RBF) framework for ANFIS-based and fuzzy adaptive filter (FAF) Type II, as well as compensatory neuro-fuzzy equalizers Includes extensive use of MATLAB® as the simulation tool in all the above cases



Advances In Neural Networks Isnn 2009


Advances In Neural Networks Isnn 2009
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Author : Wen Yu
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-05-08

Advances In Neural Networks Isnn 2009 written by Wen Yu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-08 with Computers categories.


The three volume set LNCS 5551/5552/5553 constitutes the refereed proceedings of the 6th International Symposium on Neural Networks, ISNN 2009, held in Wuhan, China in May 2009. The 409 revised papers presented were carefully reviewed and selected from a total of 1.235 submissions. The papers are organized in 20 topical sections on theoretical analysis, stability, time-delay neural networks, machine learning, neural modeling, decision making systems, fuzzy systems and fuzzy neural networks, support vector machines and kernel methods, genetic algorithms, clustering and classification, pattern recognition, intelligent control, optimization, robotics, image processing, signal processing, biomedical applications, fault diagnosis, telecommunication, sensor network and transportation systems, as well as applications.



Intelligent Data Engineering And Automated Learning


Intelligent Data Engineering And Automated Learning
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Author : Jiming Liu
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-07-29

Intelligent Data Engineering And Automated Learning written by Jiming Liu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-29 with Business & Economics categories.


This book constitutes the throughly refereed post-proceedings of the 4th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2003, held in Hong Kong, China in March 2003. The 164 revised papers presented were carefully reviewed and selected from 321 submissions; for inclusion in this post-proceedings another round of revision was imposed. The papers are organized in topical sections an agents, automated learning, bioinformatics, data mining, multimedia information, and financial engineering.



Nonlinear Channel Models And Their Simulations


Nonlinear Channel Models And Their Simulations
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Author : Yecai Guo
language : en
Publisher: World Scientific
Release Date : 2022-06-27

Nonlinear Channel Models And Their Simulations written by Yecai Guo and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-27 with Technology & Engineering categories.


This comprehensive compendium highlights the research results of nonlinear channel modeling and simulation. Nonlinear channels include nonlinear satellite channels, nonlinear Volterra channels, molecular MIMO channels, etc.This volume involves wavelet theory, neural network, echo state network, machine learning, support vector machine, chaos calculation, principal component analysis, Markov chain model, correlation entropy, fuzzy theory and other theories for nonlinear channel modeling and equalization.The useful reference text enriches the theoretical system of nonlinear channel modeling and improving the means of establishing nonlinear channel model. It is suitable for engineering technicians, researchers and graduate students in information and communication engineering, and control science and engineering, intelligent science and technology.