| Titre : | Handbook of Neural Network Signal Processing | | Type de document : | texte imprimé | | Auteurs : | Yu Hen Hu, Auteur ; Jenq-Neng Hwang, Auteur | | Editeur : | Boca Raton; London; New York : CRC Press | | Année de publication : | 2002 | | Collection : | The Electrical Engineering and Applied Signal Processing Series | | Importance : | 380 p. | | Présentation : | couv. ill.,ill. | | Format : | 26 cm. | | ISBN/ISSN/EAN : | 978-0-84932-359-1 | | Langues : | Anglais (eng) | | Catégories : | GÉNÉRALITÉ
| | Index. décimale : | 00-07 HandBook | | Résumé : | 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. | | Note de contenu : | Contents
1 Introduction to Neural Network for Signal Processing
2 Signal processing using the multilayer perceptron
3 Radial Basis functions
4 An Introduction to Kernel-Based Learning Algorithms
5 Committee Machines
7 Blind signal separation and blind Deconvolution
8 Neural Network and Principal Component Analysis
9 Applications of Neural Network to Time Series Prediction
10 Applications of of Neural Network to Speech Processing
11 Learning and adaptive characterization of visual contents in image retrieval systems
12 Applications of Neural Network to image Processing
13 Hierarchical Fuzzy Neural Networks for Pattern Classification |
Handbook of Neural Network Signal Processing [texte imprimé] / Yu Hen Hu, Auteur ; Jenq-Neng Hwang, Auteur . - Boca Raton; London; New York : CRC Press, 2002 . - 380 p. : couv. ill.,ill. ; 26 cm.. - ( The Electrical Engineering and Applied Signal Processing Series) . ISBN : 978-0-84932-359-1 Langues : Anglais ( eng) | Catégories : | GÉNÉRALITÉ
| | Index. décimale : | 00-07 HandBook | | Résumé : | 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. | | Note de contenu : | Contents
1 Introduction to Neural Network for Signal Processing
2 Signal processing using the multilayer perceptron
3 Radial Basis functions
4 An Introduction to Kernel-Based Learning Algorithms
5 Committee Machines
7 Blind signal separation and blind Deconvolution
8 Neural Network and Principal Component Analysis
9 Applications of Neural Network to Time Series Prediction
10 Applications of of Neural Network to Speech Processing
11 Learning and adaptive characterization of visual contents in image retrieval systems
12 Applications of Neural Network to image Processing
13 Hierarchical Fuzzy Neural Networks for Pattern Classification |
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