Documents disponibles écrits par cet auteur

Adaptive filter theory / Simon Haykin

Public ISBD Titre : Adaptive filter theory Type de document : texte imprimé Auteurs : Simon Haykin, Auteur Mention d'édition : 5 th. ed. Editeur : Upper Saddle River, Boston, Columbus : Pearson Education Année de publication : 2014 Importance : 907 p. Présentation : couv. ill. en coul., ill. Format : 23 cm. ISBN/ISSN/EAN : 978-0-273-76408-3 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-02 Théorie et traitement du signal Résumé : Adaptive Filter Theory, 5e, is ideal for courses in Adaptive Filters. The author examines both the mathematical theory behind various linear adaptive filters and the elements of supervised multilayer perceptrons. In its fifth edition, this highly successful book has been updated and refined to stay current with the field and develop concepts in as unified and accessible a manner as possible. Note de contenu : Contents Chapter 1 Stochastic Processes and Models Chapter 2 Wiener Filters Chapter 3 Linear Prediction Chapter 4 Method of Steepest Descent Chapter 5 Method of Stochastic Gradient Descent Chapter 6 The Least-Mean-Square (LMS) Algorithm Chapter 7 Normalized Least-Mean-Square (LMS) Algorithm and its generalization Chapter 8 Block-Adaptive Filters Chapter 9 Method of Least Squares Chapter 10 The Recursive Least-Squares (RLS) Algorithm Chapter 11 Robustness Chapter 12 Finite-Precision Effects Chapter 13 Adaptation in Nonstationary Environments Chapter 14 Kalman Filters Chapter 15 Square-Root Adaptive Filtering Algorithms Chapter 16 Order-Recursive Adaptive Filtering Algorithm Chapter 17 Blind Deconvolution Appendix Index Adaptive filter theory [texte imprimé] / Simon Haykin, Auteur  . -  5 th. ed. . - Upper Saddle River, Boston, Columbus : Pearson Education, 2014 . - 907 p. : couv. ill. en coul., ill. ; 23 cm. ISBN : 978-0-273-76408-3 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-02 Théorie et traitement du signal Résumé : Adaptive Filter Theory, 5e, is ideal for courses in Adaptive Filters. The author examines both the mathematical theory behind various linear adaptive filters and the elements of supervised multilayer perceptrons. In its fifth edition, this highly successful book has been updated and refined to stay current with the field and develop concepts in as unified and accessible a manner as possible. Note de contenu : Contents Chapter 1 Stochastic Processes and Models Chapter 2 Wiener Filters Chapter 3 Linear Prediction Chapter 4 Method of Steepest Descent Chapter 5 Method of Stochastic Gradient Descent Chapter 6 The Least-Mean-Square (LMS) Algorithm Chapter 7 Normalized Least-Mean-Square (LMS) Algorithm and its generalization Chapter 8 Block-Adaptive Filters Chapter 9 Method of Least Squares Chapter 10 The Recursive Least-Squares (RLS) Algorithm Chapter 11 Robustness Chapter 12 Finite-Precision Effects Chapter 13 Adaptation in Nonstationary Environments Chapter 14 Kalman Filters Chapter 15 Square-Root Adaptive Filtering Algorithms Chapter 16 Order-Recursive Adaptive Filtering Algorithm Chapter 17 Blind Deconvolution Appendix Index

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2895	25-02-68	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	2895
2896	25-02-68	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	2896

Adaptive Radar Signal Processing / Simon Haykin

Public ISBD Titre : Adaptive Radar Signal Processing Type de document : texte imprimé Auteurs : Simon Haykin, Auteur Editeur : Hoboken,New jersey : John Wiley & Sons, Inc Année de publication : 2007 Importance : 230 p. Présentation : couv. ill.,ill. Format : 24,1 cm. ISBN/ISSN/EAN : 978-0-471-73582-3 Langues : Anglais (eng) Catégories : TELECOMMUNICATION Index. décimale : 28-04 Traitement du signal appliqué aux télécommunications Résumé : This collaborative work presents the results of over twenty years of pioneering research by Professor Simon Haykin and his colleagues, dealing with the use of adaptive radar signal processing to account for the nonstationary nature of the environment. These results, described by the researchers themselves, have profound implications for defense-related signal processing and remote sensing. The book is divided into two parts: * Part I discusses radar spectral analysis, with emphasis on spectrum estimation of the received signal. Following an introductory chapter, Chapter 2 addresses the low-angle tracking radar problem. Focusing on the target's angle of arrival in the presence of multipath, the authors set forth a spectrum estimation procedure known as the multi-taper, or multiple-window, method. This method accounts for the specular as well as diffuse kinds of multipath, which are integral parts of a physical low-angle tracking radar environment. Chapter 3 builds on the multi-taper method by estimating the power spectrum of the received signal as a function of both time and frequency with emphasis on sea clutter. * Part II examines dynamic models of radar returns produced in a marine environment. Chapters 4 and 5 study different approaches to modeling the underlying dynamics responsible for the generation of sea clutter. Chapter 6 completes the discussion by formulating a Bayesian framework for the detection-through-tracking of a target in the presence of sea clutter. References are provided in each chapter guiding the reader to the original research on which this book is based. This is a must-read for all engineers involved with radar systems-even senior-level engineers will find much new and thought-provoking material. Note de contenu : Table of contents 1. Introduction Part I Radar Spectral Analysis 2. Angle-of-Arrival Estimation in the Presence of Multipath 3. Time–Frequency Analysis of Sea Clutter Part II Dynamic Models 4. Dynamics of Sea Clutter 5. Sea-Clutter Nonstationarity: The Influence of Long Waves 6. Two New Strategies for Target Detection in Sea Clutter Index Adaptive Radar Signal Processing [texte imprimé] / Simon Haykin, Auteur . - Hoboken,New jersey : John Wiley & Sons, Inc, 2007 . - 230 p. : couv. ill.,ill. ; 24,1 cm. ISBN : 978-0-471-73582-3 Langues : Anglais (eng) Catégories : TELECOMMUNICATION Index. décimale : 28-04 Traitement du signal appliqué aux télécommunications Résumé : This collaborative work presents the results of over twenty years of pioneering research by Professor Simon Haykin and his colleagues, dealing with the use of adaptive radar signal processing to account for the nonstationary nature of the environment. These results, described by the researchers themselves, have profound implications for defense-related signal processing and remote sensing. The book is divided into two parts: * Part I discusses radar spectral analysis, with emphasis on spectrum estimation of the received signal. Following an introductory chapter, Chapter 2 addresses the low-angle tracking radar problem. Focusing on the target's angle of arrival in the presence of multipath, the authors set forth a spectrum estimation procedure known as the multi-taper, or multiple-window, method. This method accounts for the specular as well as diffuse kinds of multipath, which are integral parts of a physical low-angle tracking radar environment. Chapter 3 builds on the multi-taper method by estimating the power spectrum of the received signal as a function of both time and frequency with emphasis on sea clutter. * Part II examines dynamic models of radar returns produced in a marine environment. Chapters 4 and 5 study different approaches to modeling the underlying dynamics responsible for the generation of sea clutter. Chapter 6 completes the discussion by formulating a Bayesian framework for the detection-through-tracking of a target in the presence of sea clutter. References are provided in each chapter guiding the reader to the original research on which this book is based. This is a must-read for all engineers involved with radar systems-even senior-level engineers will find much new and thought-provoking material. Note de contenu : Table of contents 1. Introduction Part I Radar Spectral Analysis 2. Angle-of-Arrival Estimation in the Presence of Multipath 3. Time–Frequency Analysis of Sea Clutter Part II Dynamic Models 4. Dynamics of Sea Clutter 5. Sea-Clutter Nonstationarity: The Influence of Long Waves 6. Two New Strategies for Target Detection in Sea Clutter Index

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	N.Inventaire
2663	28-04-21	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	2663
2664	28-04-21	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	2664

Multiple-input multiple-output channel models / Nelson Costa

Public ISBD Titre : Multiple-input multiple-output channel models : theory and practice Type de document : texte imprimé Auteurs : Nelson Costa, Auteur ; Simon Haykin, Auteur Editeur : Hoboken,New jersey : John Wiley & Sons, Inc Année de publication : 2010 Collection : Wiley Series in Adaptive and Cognitive Dynamic Systems: Signal Processing, Communication, and Control Importance : 225 p. Présentation : couv. ill. en en coul Format : 24,5 cm. ISBN/ISSN/EAN : 978-0-470-39983-5 Langues : Anglais (eng) Catégories : TELECOMMUNICATION Index. décimale : 28-04 Traitement du signal appliqué aux télécommunications Résumé : A complete discussion of MIMO communications, from theory to real-world applications The emerging wireless technology Wideband Multiple-Input, Multiple-Output (MIMO) holds the promise of greater bandwidth efficiency and wireless link reliability. This technology is just now being implemented into hardware and working its way into wireless standards such as the ubiquitous 802.11g, as well as third- and fourth-generation cellular standards. Multiple-Input Multiple-Output Channel Models uniquely brings together the theoretical and practical aspects of MIMO communications, revealing how these systems use their multipath diversity to increase channel capacity. It gives the reader a clear understanding of the underlying propagation mechanisms in the wideband MIMO channel, which is fundamental to the development of communication algorithms, signaling strategies, and transceiver design for MIMO systems. MIMO channel models are important tools in understanding the potential gains of a MIMO system. This book discusses two types of wideband MIMO models in detail: correlative channel models--specifically the Kronecker, Weichselberger, and structured models--and cluster models, including Saleh-Valenzuela, European Cooperation in the field of Scientific and Technical Research (COST) 273, and Random Cluster models. From simple to complex, the reader will understand the models' mechanisms and the reasons behind the parameters. Next, channel sounding is explained in detail, presenting the theory behind a few channel sounding techniques used to sound narrowband and wideband channels. The technique of digital matched filtering is then examined and, using real-life data, is shown to provide very accurate estimates of channel gains. The book concludes with a performance analysis of the structured and Kronecker models. Multiple-Input Multiple-Output Channel Models is the first book to apply tensor calculus to the problem of wideband MIMO channel modeling. Each chapter features a list of important references, including core literary references, Matlab implementations of key models, and the location of databases that can be used to help in the development of new models or communication algorithms. Engineers who are working in the development of telecommunications systems will find this resource invaluable, as will researchers and students at the graduate or post-graduate level. Note de contenu : Contents 1: Introduction. 1.1 Historical Perspective 1.2 MIMO Communications 1.3 MIMO Channel Models 1.4 Software Defined Radio 1.5 Overview 2: Multiple Antenna Channels and Correlation. 2.1 The Radio Channel: Definitions 2.2 Channel Classifications 2.3 Summary of Channel Classifications. 2.4 Second-Order Statistics of Multiple Antenna Channels 2.5 Second-order Statistics of the Wideband MIMO Channel 2.6 Spatial Structure of Multiple Antenna Channels 3: Correlative Models 3.1 Vector Channel Synthesis from the Vector Correlation Matrix 3.2 Matrix Channel Synthesis from the Narrowband Correlation Matrix 3.3 One-Sided Correlation for Narrowband MIMO Channels 3.4 The Kronecker Model 3.5 The Weichselberger Model 3.6 The Structured Model 4: Cluster Models 4.1 What is a Cluster? 4.2 The Saleh-Valenzuela Model 4.3 Clusters in Time and Space 4.4 The Extended Saleh-Valenzuela Model 4.5 The COST 273 Model 4.6 The Random Cluster Model (RCM) 5: Channel Sounding 5.1 Introduction 5.2 The WMSDR 5.3 Narrowband Channel Sounding 5.4 Wideband Sounding: Correlative Sounding 5.5 Wideband Sounding: Sampled Spectrum Channel Sounding 5.6 Switched-array Architectures 5.7 Timing and Carrier Recovery 6: Experimental Verifications 6.1 Validation Metrics 6.2 WMSDR Experimental Setup 6.3 BYU Wideband Channel Sounder Experimental Setup 6.4 Experimental Results 6.5 Discussion Summary and Discussion. Notes and References Appendix A: An Introduction to Tensor Algebra. Appendix B: Proof of Theorems from Chapter 3. Appendix C: COST 273 Model Summary. Glossary. Bibliography. Index. Multiple-input multiple-output channel models : theory and practice [texte imprimé] / Nelson Costa, Auteur ; Simon Haykin, Auteur . - Hoboken,New jersey : John Wiley & Sons, Inc, 2010 . - 225 p. : couv. ill. en en coul ; 24,5 cm.. - (Wiley Series in Adaptive and Cognitive Dynamic Systems: Signal Processing, Communication, and Control) . ISBN : 978-0-470-39983-5 Langues : Anglais (eng) Catégories : TELECOMMUNICATION Index. décimale : 28-04 Traitement du signal appliqué aux télécommunications Résumé : A complete discussion of MIMO communications, from theory to real-world applications The emerging wireless technology Wideband Multiple-Input, Multiple-Output (MIMO) holds the promise of greater bandwidth efficiency and wireless link reliability. This technology is just now being implemented into hardware and working its way into wireless standards such as the ubiquitous 802.11g, as well as third- and fourth-generation cellular standards. Multiple-Input Multiple-Output Channel Models uniquely brings together the theoretical and practical aspects of MIMO communications, revealing how these systems use their multipath diversity to increase channel capacity. It gives the reader a clear understanding of the underlying propagation mechanisms in the wideband MIMO channel, which is fundamental to the development of communication algorithms, signaling strategies, and transceiver design for MIMO systems. MIMO channel models are important tools in understanding the potential gains of a MIMO system. This book discusses two types of wideband MIMO models in detail: correlative channel models--specifically the Kronecker, Weichselberger, and structured models--and cluster models, including Saleh-Valenzuela, European Cooperation in the field of Scientific and Technical Research (COST) 273, and Random Cluster models. From simple to complex, the reader will understand the models' mechanisms and the reasons behind the parameters. Next, channel sounding is explained in detail, presenting the theory behind a few channel sounding techniques used to sound narrowband and wideband channels. The technique of digital matched filtering is then examined and, using real-life data, is shown to provide very accurate estimates of channel gains. The book concludes with a performance analysis of the structured and Kronecker models. Multiple-Input Multiple-Output Channel Models is the first book to apply tensor calculus to the problem of wideband MIMO channel modeling. Each chapter features a list of important references, including core literary references, Matlab implementations of key models, and the location of databases that can be used to help in the development of new models or communication algorithms. Engineers who are working in the development of telecommunications systems will find this resource invaluable, as will researchers and students at the graduate or post-graduate level. Note de contenu : Contents 1: Introduction. 1.1 Historical Perspective 1.2 MIMO Communications 1.3 MIMO Channel Models 1.4 Software Defined Radio 1.5 Overview 2: Multiple Antenna Channels and Correlation. 2.1 The Radio Channel: Definitions 2.2 Channel Classifications 2.3 Summary of Channel Classifications. 2.4 Second-Order Statistics of Multiple Antenna Channels 2.5 Second-order Statistics of the Wideband MIMO Channel 2.6 Spatial Structure of Multiple Antenna Channels 3: Correlative Models 3.1 Vector Channel Synthesis from the Vector Correlation Matrix 3.2 Matrix Channel Synthesis from the Narrowband Correlation Matrix 3.3 One-Sided Correlation for Narrowband MIMO Channels 3.4 The Kronecker Model 3.5 The Weichselberger Model 3.6 The Structured Model 4: Cluster Models 4.1 What is a Cluster? 4.2 The Saleh-Valenzuela Model 4.3 Clusters in Time and Space 4.4 The Extended Saleh-Valenzuela Model 4.5 The COST 273 Model 4.6 The Random Cluster Model (RCM) 5: Channel Sounding 5.1 Introduction 5.2 The WMSDR 5.3 Narrowband Channel Sounding 5.4 Wideband Sounding: Correlative Sounding 5.5 Wideband Sounding: Sampled Spectrum Channel Sounding 5.6 Switched-array Architectures 5.7 Timing and Carrier Recovery 6: Experimental Verifications 6.1 Validation Metrics 6.2 WMSDR Experimental Setup 6.3 BYU Wideband Channel Sounder Experimental Setup 6.4 Experimental Results 6.5 Discussion Summary and Discussion. Notes and References Appendix A: An Introduction to Tensor Algebra. Appendix B: Proof of Theorems from Chapter 3. Appendix C: COST 273 Model Summary. Glossary. Bibliography. Index.

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Code-barres	Cote	Support	Localisation	Section	Disponibilité	N.Inventaire
2767	28-04-23	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	2767

Signals and Systems / Simon Haykin

Public ISBD Titre : Signals and Systems : 2005 just ask edition Type de document : texte imprimé Auteurs : Simon Haykin, Auteur ; Barry Van Veen, Auteur Editeur : USA : John wiley & Sons Importance : 802 p. Présentation : couv. ill. en coul., ill. Format : 25,9 cm. ISBN/ISSN/EAN : 978-0-471-70789-9 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-02 Théorie et traitement du signal Résumé : Haykin and Van Veen have designed Signals and Systems to be appropriate for both one- and two-semester sophomore-junior versions of the Signals and Systems course. The book's integrated, balanced treatment of continuous- and discrete-time forms of signals and systems is both a reflection of the topics' real roles in engineering practice and a clear, practical way of introducing the large range of topics covered by the course. Already known for its extensive example and problem sets, the Second Edition has added even more examples and problems. All chapters have been revised to improve clarity and organization. Note de contenu : Table of contents Chapter 1. Introduction. Chapter 2. Time-Domain Representations of Linear Time-Invariant Systems. Chapter 3. Fourier Representations of Signals and Linear Time Invariant Systems. Chapter 4. Applications of Fourier Representations to Mixed Signal Classes. Chapter 5. Application to Communication Systems. Chapter 6. Representing Signals by Using Continuous-Time Complex Exponentials: The Laplace Transform. Chapter 7. Representing Signals by Using Discrete-Time Complex Exponentials: The z-Transform. Chapter 8. Application to Filters and Equalizers. Chapter 9. Application to Linear Feedback Systems. Chapter 10. Epilogue. Appendix A: Selected Mathematical Identities. Appendix B: Partial-Fraction Expansions. Appendix C: Tables of Fourier Representations and Properties. Appendix D: Tables of Laplace Transforms and Properties. Appendix E: Tables of z-Transforms and Properties. Appendix F: Introduction to MATLAB. Index. Signals and Systems : 2005 just ask edition [texte imprimé] / Simon Haykin, Auteur ; Barry Van Veen, Auteur . - USA : John wiley & Sons, [s.d.] . - 802 p. : couv. ill. en coul., ill. ; 25,9 cm. ISBN : 978-0-471-70789-9 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-02 Théorie et traitement du signal Résumé : Haykin and Van Veen have designed Signals and Systems to be appropriate for both one- and two-semester sophomore-junior versions of the Signals and Systems course. The book's integrated, balanced treatment of continuous- and discrete-time forms of signals and systems is both a reflection of the topics' real roles in engineering practice and a clear, practical way of introducing the large range of topics covered by the course. Already known for its extensive example and problem sets, the Second Edition has added even more examples and problems. All chapters have been revised to improve clarity and organization. Note de contenu : Table of contents Chapter 1. Introduction. Chapter 2. Time-Domain Representations of Linear Time-Invariant Systems. Chapter 3. Fourier Representations of Signals and Linear Time Invariant Systems. Chapter 4. Applications of Fourier Representations to Mixed Signal Classes. Chapter 5. Application to Communication Systems. Chapter 6. Representing Signals by Using Continuous-Time Complex Exponentials: The Laplace Transform. Chapter 7. Representing Signals by Using Discrete-Time Complex Exponentials: The z-Transform. Chapter 8. Application to Filters and Equalizers. Chapter 9. Application to Linear Feedback Systems. Chapter 10. Epilogue. Appendix A: Selected Mathematical Identities. Appendix B: Partial-Fraction Expansions. Appendix C: Tables of Fourier Representations and Properties. Appendix D: Tables of Laplace Transforms and Properties. Appendix E: Tables of z-Transforms and Properties. Appendix F: Introduction to MATLAB. Index.

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Code-barres	Cote	Support	Localisation	Section	Disponibilité	N.Inventaire
1009	25-02-34	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	1009