Description
Neuro-Fuzzy Equalizers for Mobile Cellular Channels
Author: Raveendranathan K.C.
Language: EnglishSubjects for Neuro-Fuzzy Equalizers for Mobile Cellular Channels:
Keywords
Mobile Cellular Channels; Type-2 Fuzzy Logic System; Overview of Mobile Channels and Equalizers; RBF Neural Network; Neuro-Fuzzy Equalizers for Cellular Channels; RBF Network; A Radial Basis Function Framework; Type-2 Fuzzy Sets; OFDM and Spatial Diversity; RMS Delay Spread; A Modular Approach to Channel Equalization; Membership Function; K; C; Raveendranathan; ANFIS Structure; ANFIS Model; Radial Basis Function Neural Network; OFDM Signal; Fuzzy Inference System; Parameter Learning Algorithm; Nonlinear Equalizers; Linear Equalizers; Adaptive Equalizers; Radial Basis Function Network; Non-Linear Channel; Nonlinear Channel; RBF NN; MATLAB Script; PN Code; ANFIS; CDMA System; Preprocessor Filter
178.41 €
In Print (Delivery period: 15 days).
Add to cart the print on demand of Raveendranathan K.C.Publication date: 08-2013
Support: Print on demand
Approximative price 66.20 €
In Print (Delivery period: 14 days).
Add to cart the book of Raveendranathan K.C.Publication date: 04-2017
· 15.6x23.4 cm · Paperback
Description
/li>Contents
/li>Readership
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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
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
Introduction. Overview of Mobile Channels and Equalizers: Neuro-Fuzzy Equalizers for Cellular Channels. The ANFIS-Based Channel Equalizer. A Radial Basis Function Framework. A Modular Approach to Channel Equalization. OFDM and Spatial Diversity. Conclusion.