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Soft computing in communications / Lipo Wang

Public ISBD Titre : Soft computing in communications Type de document : texte imprimé Auteurs : Lipo Wang, Auteur Editeur : Berlin Heidelberg : Springer-Verlag Année de publication : 2004 Collection : Studies in Fuzziness and Soft Computing Importance : 408 p. Présentation : cou Format : 24 cm. ISBN/ISSN/EAN : 9783540405755 Langues : Français (fre) Catégories : INFORMATIQUE Index. décimale : 08-02 Logiciels et programmation Résumé : This book is dedicated to recent novel applications of soft computing in communications. It presents the methodologies of neural networks, evolutionary computation, fuzzy logic and neurofuzzy systems, and kernel methods. Applications to the wide field of communications are demonstrated, such as to multiservice access multiplexers, hierarchical cellular systems, multicast routing, optimal channel assignment to cellular mobile communications, transporting voice over a wireless Lan, or the design of communication antennas. Note de contenu : Contents Part1:Neural Networks -Neural Approximation of Resource Allocation Functions in Multiservice Access Multiplexers -Performance of the Multilayer Perceptron-based Decision Feedback Equalizer with Lattice Structure in Non-Linear Channels -Nonlinear Channel Identification Using Natural Gradient Descent: Application to Modeling and Tracking -Maximizing Topology Connectivity Using a Hopfield Neural Network -Binary Neural Network Approaches to Combinatorial Optimization Problems in Communication Networks -Robust Multiuser Detection Using Artificial Neural Networks -Minimizing Interference in Cellular Mobile Communications by Optimal Channel Assignment Using Chaotic Simulated Annealing Part2:Evolutionary Computation -Orthogonal Genetic Algorithms with Application to Multimedia Multicast Routing -Solving the QoS Multicast Routing Problems Using Genetic Algorithms -Base Station Location Optimization in Cellular Wireless Networks using Heuristic Search Algorithms -The Synthesis and Design of Communication Antennas Using Genetic Algorithms Part3:Fuzzy Logic and Neurofuzzy Systems -QoS Adaptation Based on Fuzzy Theory -Fuzzy Chaotic Synchronization and Communication — Signal Masking and Encryption -Intelligent Channel Assignment Schemes for Hierarchical Cellular Systems -A New Mobility Prediction System using Neuro-Fuzzy Model and Its Application to Restoration of Mobility Databases -Voice Over Wireless LAN Using Intelligent Control Part4:Kernel Methods -Least Squares Kernel Methods and Applications -Least Bit Error Rate Adaptive Multiuser Detection Soft computing in communications [texte imprimé] / Lipo Wang, Auteur . - Berlin Heidelberg : Springer-Verlag, 2004 . - 408 p. : cou ; 24 cm.. - (Studies in Fuzziness and Soft Computing) . ISSN : 9783540405755 Langues : Français (fre) Catégories : INFORMATIQUE Index. décimale : 08-02 Logiciels et programmation Résumé : This book is dedicated to recent novel applications of soft computing in communications. It presents the methodologies of neural networks, evolutionary computation, fuzzy logic and neurofuzzy systems, and kernel methods. Applications to the wide field of communications are demonstrated, such as to multiservice access multiplexers, hierarchical cellular systems, multicast routing, optimal channel assignment to cellular mobile communications, transporting voice over a wireless Lan, or the design of communication antennas. Note de contenu : Contents Part1:Neural Networks -Neural Approximation of Resource Allocation Functions in Multiservice Access Multiplexers -Performance of the Multilayer Perceptron-based Decision Feedback Equalizer with Lattice Structure in Non-Linear Channels -Nonlinear Channel Identification Using Natural Gradient Descent: Application to Modeling and Tracking -Maximizing Topology Connectivity Using a Hopfield Neural Network -Binary Neural Network Approaches to Combinatorial Optimization Problems in Communication Networks -Robust Multiuser Detection Using Artificial Neural Networks -Minimizing Interference in Cellular Mobile Communications by Optimal Channel Assignment Using Chaotic Simulated Annealing Part2:Evolutionary Computation -Orthogonal Genetic Algorithms with Application to Multimedia Multicast Routing -Solving the QoS Multicast Routing Problems Using Genetic Algorithms -Base Station Location Optimization in Cellular Wireless Networks using Heuristic Search Algorithms -The Synthesis and Design of Communication Antennas Using Genetic Algorithms Part3:Fuzzy Logic and Neurofuzzy Systems -QoS Adaptation Based on Fuzzy Theory -Fuzzy Chaotic Synchronization and Communication — Signal Masking and Encryption -Intelligent Channel Assignment Schemes for Hierarchical Cellular Systems -A New Mobility Prediction System using Neuro-Fuzzy Model and Its Application to Restoration of Mobility Databases -Voice Over Wireless LAN Using Intelligent Control Part4:Kernel Methods -Least Squares Kernel Methods and Applications -Least Bit Error Rate Adaptive Multiuser Detection

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	N.Inventaire
122	08-02-15	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	122

Fuzzy Filters for Image Processing / Mike Nachtegael

Public ISBD Titre : Fuzzy Filters for Image Processing Type de document : texte imprimé Auteurs : Mike Nachtegael, Auteur ; Dietrich Van Der Weken, Auteur ; Dimitri Van De Ville, Auteur Editeur : Berlin Heidelberg : Springer-Verlag Année de publication : 2003 Collection : Studies in Fuzziness and Soft Computing Importance : 386 p. Présentation : couv. ill. en coul., ill. Format : 24 cm. ISBN/ISSN/EAN : 978-3-540-00465-3 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-01 Logique combinatoire et séquentielle Résumé : This book covers a wide range of both theoretical and practical applications of fuzzy filters for image processing. The focus is on problems of noise removal, edge detection and segmentation, image enhancement and further specific applications of fuzzy filters. How soft computing techniques such as fuzzy set theory and fuzzy logic can be successfully applied to these problems is demonstrated. Often these techniques are complementary to existing classical techniques and contribute to a more robust performance. The book is written by international experts giving an overview of the current state of the art of fuzzy filters for image processing and can be used as a reference for researchers and practitioners in the field. Note de contenu : Contents Part I Fuzzy Filters for Noise Reduction 1. Fuzzy Filters for Noise Removal 2. Fuzzy Filters for Noise Reduction in Images 3. Real-time Image Noise Cancellation Based on Fuzzy Similarity 4. Fuzzy Rule-Based Color Filtering Using Statistical Indices Part II Fuzzy Filters for Edge Detection and Segmentation 5. Fuzzy Based Image Segmentation 6. Fuzzy Thresholding and Histogram Analysis 7. Color Image Segmentation by Analysis of 3D Histogram with Fuzzy Morphological Filters 8. Fast and Robust Fuzzy Edge Detection 9. Fuzzy Data Fusion for Multiple Cue Image and Video Segmentation Part III Fuzzy Filters for Image Enhancement 10.Fuzzy Image Enhancement in the Framework of Logarithmic Model 11.Observer-dependent Image Enhancement Part IV Specific Applications of Fuzzy Filters 12.Fuzzy Techniques in Digital Image Processing and Shape Analysis 13.Adaptive Fuzzy Filters and Their Application to Online Maneuvering Target Tracking 14.Lossy Image Compression and Reconstruction Based on Fuzzy Relational Equation 15.Avoidance of Highlights through ILFOs in Automated Visual Inspection Fuzzy Filters for Image Processing [texte imprimé] / Mike Nachtegael, Auteur ; Dietrich Van Der Weken, Auteur ; Dimitri Van De Ville, Auteur . - Berlin Heidelberg : Springer-Verlag, 2003 . - 386 p. : couv. ill. en coul., ill. ; 24 cm.. - (Studies in Fuzziness and Soft Computing) . ISBN : 978-3-540-00465-3 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-01 Logique combinatoire et séquentielle Résumé : This book covers a wide range of both theoretical and practical applications of fuzzy filters for image processing. The focus is on problems of noise removal, edge detection and segmentation, image enhancement and further specific applications of fuzzy filters. How soft computing techniques such as fuzzy set theory and fuzzy logic can be successfully applied to these problems is demonstrated. Often these techniques are complementary to existing classical techniques and contribute to a more robust performance. The book is written by international experts giving an overview of the current state of the art of fuzzy filters for image processing and can be used as a reference for researchers and practitioners in the field. Note de contenu : Contents Part I Fuzzy Filters for Noise Reduction 1. Fuzzy Filters for Noise Removal 2. Fuzzy Filters for Noise Reduction in Images 3. Real-time Image Noise Cancellation Based on Fuzzy Similarity 4. Fuzzy Rule-Based Color Filtering Using Statistical Indices Part II Fuzzy Filters for Edge Detection and Segmentation 5. Fuzzy Based Image Segmentation 6. Fuzzy Thresholding and Histogram Analysis 7. Color Image Segmentation by Analysis of 3D Histogram with Fuzzy Morphological Filters 8. Fast and Robust Fuzzy Edge Detection 9. Fuzzy Data Fusion for Multiple Cue Image and Video Segmentation Part III Fuzzy Filters for Image Enhancement 10.Fuzzy Image Enhancement in the Framework of Logarithmic Model 11.Observer-dependent Image Enhancement Part IV Specific Applications of Fuzzy Filters 12.Fuzzy Techniques in Digital Image Processing and Shape Analysis 13.Adaptive Fuzzy Filters and Their Application to Online Maneuvering Target Tracking 14.Lossy Image Compression and Reconstruction Based on Fuzzy Relational Equation 15.Avoidance of Highlights through ILFOs in Automated Visual Inspection

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	N.Inventaire
114	25-01-01	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	114