The A to Z of mathematics [[electronic resource] ] : a basic guide / / Thomas H. Sidebotham |
Autore | Sidebotham Thomas H (Thomas Hurst), <1939-> |
Pubbl/distr/stampa | New York, : Wiley-Interscience, c2002 |
Descrizione fisica | 1 online resource (488 p.) |
Disciplina | 510 |
Soggetto topico |
Mathematics
Logic, Symbolic and mathematical |
ISBN |
1-280-36699-0
9786610366996 0-470-24891-2 0-471-46163-6 0-471-23144-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | The A to Z of Mathematics; Contents; Preface; Acknowledgments; A; B; C; D; E; F; G; H; I; K; L; M; N; O; P; Q; R; S; T; U; V; W; X; Y; Z |
Record Nr. | UNINA-9910830871903321 |
Sidebotham Thomas H (Thomas Hurst), <1939-> | ||
New York, : Wiley-Interscience, c2002 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
The A to Z of mathematics [[electronic resource] ] : a basic guide / / Thomas H. Sidebotham |
Autore | Sidebotham Thomas H (Thomas Hurst), <1939-> |
Pubbl/distr/stampa | New York, : Wiley-Interscience, c2002 |
Descrizione fisica | 1 online resource (488 p.) |
Disciplina | 510 |
Soggetto topico |
Mathematics
Logic, Symbolic and mathematical |
ISBN |
1-280-36699-0
9786610366996 0-470-24891-2 0-471-46163-6 0-471-23144-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | The A to Z of Mathematics; Contents; Preface; Acknowledgments; A; B; C; D; E; F; G; H; I; K; L; M; N; O; P; Q; R; S; T; U; V; W; X; Y; Z |
Record Nr. | UNINA-9910841385303321 |
Sidebotham Thomas H (Thomas Hurst), <1939-> | ||
New York, : Wiley-Interscience, c2002 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
A user's guide to principal components / J. Edward Jackson |
Autore | Jackson, J. Edward |
Pubbl/distr/stampa | Hoboken, N J, : Wiley-Interscience, c2003 |
Descrizione fisica | XVII, 569 p. ; 24 cm. |
Disciplina | 519.53 |
Collana | Wiley series in probability and statistics |
Soggetto topico | Analisi fattoriale |
ISBN | 0471471348 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISANNIO-MIL0621769 |
Jackson, J. Edward | ||
Hoboken, N J, : Wiley-Interscience, c2003 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. del Sannio | ||
|
Abstracting scientific and technical literature : an introductory guide and text for scientists, abstractors, andmanagement / Robert Maizell , Julian F. Smith , T. E. R. Singer |
Autore | Maizell, Robert |
Pubbl/distr/stampa | New York : Wiley-Interscience, 1971 |
Descrizione fisica | XV, 297 p. : ill. ; 23 cm |
Disciplina | 025 |
Soggetto non controllato | Pubblicazioni scientifiche - Compendio |
ISBN | 0-471-56530-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Record Nr. | UNINA-990000077460403321 |
Maizell, Robert | ||
New York : Wiley-Interscience, 1971 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Acoustic echo and noise control : a practical approach / / Eberhard Haensler, Gerhard Schmidt |
Autore | Hèansler E. (Eberhard) |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley-Interscience, , c2004 |
Descrizione fisica | 1 online resource (474 p.) |
Disciplina | 621.382/24 |
Altri autori (Persone) | SchmidtGerhard |
Collana | Adaptive and learning systems for signal processing, communications and control series |
Soggetto topico |
Echo suppression (Telecommunication)
Acoustical engineering |
ISBN |
1-280-27283-X
9786610272839 0-470-31483-4 0-471-67839-2 0-471-67840-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
List of Figures -- List of Tables -- Preface -- Acknowledgments -- Abbreviations and Acronyms -- Part I: Basics -- 1 Introduction -- 1.1 Some History -- 1.2 Overview of the Book -- 2 Acoustic Echo and Noise Control Systems -- 2.1 Notation -- 2.2 Applications -- 3 Fundamentals -- 3.1 Signals -- 3.2 Acoustic Echoes -- 3.3 Standards -- Part II: Algorithms -- 4 Error Criteria and Cost Functions -- 4.1 Error Criteria for Adaptive Filters -- 4.2 Error Criteria for Filter Design -- 4.3 Error Criteria for Speech Processing and Control Purposes -- 5 Wiener Filter -- 5.1 Time-Domain Solution -- 5.2 Frequency-Domain Solution -- 6 Linear Prediction -- 6.1 Normal Equations -- 6.2 Levinson{Durbin Recursion -- 7 Algorithms for Adaptive Filters -- 7.1 The Normalized Least Mean Square Algorithm -- 7.2 The Affine Projection Algorithm -- 7.3 The Recursive Least Squares Algorithm -- 7.4 The Kalman Algorithm -- Part III: Acoustic Echo and Noise Control -- 8 Traditional Methods for Stabilization of Electroacoustic Loops -- 8.1 Adaptive Line Enhancement -- 8.2 Frequency Shift -- 8.3 Controlled Attenuation -- 9 Echo Cancellation -- 9.1 Processing Structures -- 9.2 Stereophonic and Multichannel Echo Cancellation -- 10 Residual Echo and Noise Suppression -- 10.1 Basics -- 10.2 Suppression of Residual Echoes -- 10.3 Suppression of Background Noise -- 10.4 Combining Background Noise and Residual Echo Suppression -- 11 Beamforming -- 11.1 Basics -- 11.2 Characteristics of Microphone Arrays -- 11.3 Fixed Beamforming -- 11.4 Adaptive Beamforming -- Part IV: Control and Implementation Issues -- 12 System Control-Basic Aspects -- 12.1 Convergence versus Divergence Speed -- 12.2 System Levels for Control Design -- 13 Control of Echo Cancellation Systems -- 13.1 Pseudooptimal Control Parameters for the NLMS Algorithm -- 13.2 Pseudooptimal Control Parameters for the Affine Projection Algorithm -- 13.3 Summary of Pseudooptimal Control Parameters -- 13.4 Detection and Estimation Methods -- 13.5 Detector Overview and Combined Control Methods.
14 Control of Noise and Echo Suppression Systems -- 14.1 Estimation of Spectral Power Density of Background Noise -- 14.2 Musical Noise -- 14.3 Control of Filter Characteristics -- 15 Control for Beamforming -- 15.1 Practical Problems -- 15.2 Stepsize Control -- 16 Implementation Issues -- 16.1 Quantization Errors -- 16.2 Number Representation Errors -- 16.3 Arithmetical Errors -- 16.4 Fixed Point versus Floating Point -- 16.5 Quantization of Filter Taps -- Part V: Outlook and Appendixes -- 17 Outlook -- Appendix A: Subband Impulse Responses -- A.1 Consequences for Subband Echo Cancellation -- A.2 Transformation -- A.3 Concluding Remarks -- Appendix B: Filterbank Design -- B.1 Conditions for Approximately Perfect Reconstruction -- B.2 Filter Design Using a Product Approach -- B.3 Design of Prototype Lowpass Filters -- B.4 Analysis of Prototype Filters and the Filterbank System -- References -- Index. |
Record Nr. | UNINA-9910146059503321 |
Hèansler E. (Eberhard) | ||
Hoboken, New Jersey : , : Wiley-Interscience, , c2004 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Acoustic echo and noise control : a practical approach / / Eberhard Haensler, Gerhard Schmidt |
Autore | Hèansler E. (Eberhard) |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley-Interscience, , c2004 |
Descrizione fisica | 1 online resource (474 p.) |
Disciplina | 621.382/24 |
Altri autori (Persone) | SchmidtGerhard |
Collana | Adaptive and learning systems for signal processing, communications and control series |
Soggetto topico |
Echo suppression (Telecommunication)
Acoustical engineering |
ISBN |
1-280-27283-X
9786610272839 0-470-31483-4 0-471-67839-2 0-471-67840-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
List of Figures -- List of Tables -- Preface -- Acknowledgments -- Abbreviations and Acronyms -- Part I: Basics -- 1 Introduction -- 1.1 Some History -- 1.2 Overview of the Book -- 2 Acoustic Echo and Noise Control Systems -- 2.1 Notation -- 2.2 Applications -- 3 Fundamentals -- 3.1 Signals -- 3.2 Acoustic Echoes -- 3.3 Standards -- Part II: Algorithms -- 4 Error Criteria and Cost Functions -- 4.1 Error Criteria for Adaptive Filters -- 4.2 Error Criteria for Filter Design -- 4.3 Error Criteria for Speech Processing and Control Purposes -- 5 Wiener Filter -- 5.1 Time-Domain Solution -- 5.2 Frequency-Domain Solution -- 6 Linear Prediction -- 6.1 Normal Equations -- 6.2 Levinson{Durbin Recursion -- 7 Algorithms for Adaptive Filters -- 7.1 The Normalized Least Mean Square Algorithm -- 7.2 The Affine Projection Algorithm -- 7.3 The Recursive Least Squares Algorithm -- 7.4 The Kalman Algorithm -- Part III: Acoustic Echo and Noise Control -- 8 Traditional Methods for Stabilization of Electroacoustic Loops -- 8.1 Adaptive Line Enhancement -- 8.2 Frequency Shift -- 8.3 Controlled Attenuation -- 9 Echo Cancellation -- 9.1 Processing Structures -- 9.2 Stereophonic and Multichannel Echo Cancellation -- 10 Residual Echo and Noise Suppression -- 10.1 Basics -- 10.2 Suppression of Residual Echoes -- 10.3 Suppression of Background Noise -- 10.4 Combining Background Noise and Residual Echo Suppression -- 11 Beamforming -- 11.1 Basics -- 11.2 Characteristics of Microphone Arrays -- 11.3 Fixed Beamforming -- 11.4 Adaptive Beamforming -- Part IV: Control and Implementation Issues -- 12 System Control-Basic Aspects -- 12.1 Convergence versus Divergence Speed -- 12.2 System Levels for Control Design -- 13 Control of Echo Cancellation Systems -- 13.1 Pseudooptimal Control Parameters for the NLMS Algorithm -- 13.2 Pseudooptimal Control Parameters for the Affine Projection Algorithm -- 13.3 Summary of Pseudooptimal Control Parameters -- 13.4 Detection and Estimation Methods -- 13.5 Detector Overview and Combined Control Methods.
14 Control of Noise and Echo Suppression Systems -- 14.1 Estimation of Spectral Power Density of Background Noise -- 14.2 Musical Noise -- 14.3 Control of Filter Characteristics -- 15 Control for Beamforming -- 15.1 Practical Problems -- 15.2 Stepsize Control -- 16 Implementation Issues -- 16.1 Quantization Errors -- 16.2 Number Representation Errors -- 16.3 Arithmetical Errors -- 16.4 Fixed Point versus Floating Point -- 16.5 Quantization of Filter Taps -- Part V: Outlook and Appendixes -- 17 Outlook -- Appendix A: Subband Impulse Responses -- A.1 Consequences for Subband Echo Cancellation -- A.2 Transformation -- A.3 Concluding Remarks -- Appendix B: Filterbank Design -- B.1 Conditions for Approximately Perfect Reconstruction -- B.2 Filter Design Using a Product Approach -- B.3 Design of Prototype Lowpass Filters -- B.4 Analysis of Prototype Filters and the Filterbank System -- References -- Index. |
Record Nr. | UNINA-9910827985803321 |
Hèansler E. (Eberhard) | ||
Hoboken, New Jersey : , : Wiley-Interscience, , c2004 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Active and nonlinear wave propagation in electronics / Alwyn Scott |
Autore | SCOTT, Alwyn |
Pubbl/distr/stampa | New York : Wiley-Interscience, copyr. 1970 |
Descrizione fisica | XIV, 326 p. : ill. ; 24 cm |
Disciplina | 537.5 |
Soggetto topico | Elettronica teorica |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-990003310480203316 |
SCOTT, Alwyn | ||
New York : Wiley-Interscience, copyr. 1970 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Active and nonlinear wave propagation in electronics / Alwyn Scott |
Autore | Scott, Alwyn C. |
Pubbl/distr/stampa | New York : Wiley-Interscience, 1970 |
Descrizione fisica | xiv, 326 p. : ill. ; 23 cm. |
Soggetto topico | Electric circuits |
ISBN | 0471767905 |
Classificazione |
621.3.1
621.3.3.2 621.381'31 TK454.S36 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISALENTO-991000799469707536 |
Scott, Alwyn C. | ||
New York : Wiley-Interscience, 1970 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. del Salento | ||
|
Adaptive approximation based control [[electronic resource] ] : unifying neural, fuzzy and traditional adaptive approximation approaches / / Jay A. Farrell, Marios M. Polycarpou |
Autore | Farrell Jay |
Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2006 |
Descrizione fisica | 1 online resource (440 p.) |
Disciplina | 629.8 |
Altri autori (Persone) | PolycarpouMarios |
Collana | Wiley series in adaptive and learning systems for signal processing, communication and control |
Soggetto topico |
Adaptive control systems
Feedback control systems |
Soggetto genere / forma | Electronic books. |
ISBN |
1-280-44804-0
9786610448043 0-470-32501-1 0-471-78181-9 0-471-78180-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
ADAPTIVE APPROXIMATlON BASED CONTROL; CONTENTS; Preface; 1 Introduction; 1.1 Systems and Control Terminology; 1.2 Nonlinear Systems; 1.3 Feedback Control Approaches; 1.3.1 Linear Design; 1.3.2 Adaptive Linear Design; 1.3.3 Nonlinear Design; 1.3.4 Adaptive Approximation Based Design; 1.3.5 Example Summary; 1.4 Components of Approximation Based Control; 1.4.1 Control Architecture; 1.4.2 Function Approximator; 1.4.3 Stable Training Algorithm; 1.5 Discussion and Philosophical Comments; 1.6 Exercises and Design Problems; 2 Approximation Theory; 2.1 Motivating Example; 2.2 Interpolation
2.3 Function Approximation2.3.1 Offline (Batch) Function Approximation; 2.3.2 Adaptive Function Approximation; 2.4 Approximator Properties; 2.4.1 Parameter (Non) Linearity; 2.4.2 Classical Approximation Results; 2.4.3 Network Approximators; 2.4.4 Nodal Processors; 2.4.5 Universal Approximator; 2.4.6 Best Approximator Property; 2.4.7 Generalization; 2.4.8 Extent of Influence Function Support; 2.4.9 Approximator Transparency; 2.4.10 Haar Conditions; 2.4.11 Multivariable Approximation by Tensor Products; 2.5 Summary; 2.6 Exercises and Design Problems; 3 Approximation Structures; 3.1 Model Types 3.1.1 Physically Based Models3.1.2 Structure (Model) Free Approximation; 3.1.3 Function Approximation Structures; 3.2 Polynomials; 3.2.1 Description; 3.2.2 Properties; 3.3 Splines; 3.3.1 Description; 3.3.2 Properties; 3.4 Radial Basis Functions; 3.4.1 Description; 3.4.2 Properties; 3.5 Cerebellar Model Articulation Controller; 3.5.1 Description; 3.5.2 Properties; 3.6 Multilayer Perceptron; 3.6.1 Description; 3.6.2 Properties; 3.7 Fuzzy Approximation; 3.7.1 Description; 3.7.2 Takagi-Sugeno Fuzzy Systems; 3.7.3 Properties; 3.8 Wavelets; 3.8.1 Multiresolution Analysis (MRA); 3.8.2 MRA Properties 3.9 Further Reading3.10 Exercises and Design Problems; 4 Parameter Estimation Methods; 4.1 Formulation for Adaptive Approximation; 4.1.1 Illustrative Example; 4.1.2 Motivating Simulation Examples; 4.1.3 Problem Statement; 4.1.4 Discussion of Issues in Parametric Estimation; 4.2 Derivation of Parametric Models; 4.2.1 Problem Formulation for Full-State Measurement; 4.2.2 Filtering Techniques; 4.2.3 SPR Filtering; 4.2.4 Linearly Parameterized Approximators; 4.2.5 Parametric Models in State Space Form; 4.2.6 Parametric Models of Discrete-Time Systems 4.2.7 Parametric Models of Input-Output Systems4.3 Design of Online Learning Schemes; 4.3.1 Error Filtering Online Learning (EFOL) Scheme; 4.3.2 Regressor Filtering Online Learning (RFOL) Scheme; 4.4 Continuous-Time Parameter Estimation; 4.4.1 Lyapunov-Based Algorithms; 4.4.2 Optimization Methods; 4.4.3 Summary; 4.5 Online Learning: Analysis; 4.5.1 Analysis of LIP EFOL Scheme with Lyapunov Synthesis Method; 4.5.2 Analysis of LIP RFOL Scheme with the Gradient Algorithm; 4.5.3 Analysis of LIP RFOL Scheme with RLS Algorithm; 4.5.4 Persistency of Excitation and Parameter Convergence 4.6 Robust Learning Algorithms |
Record Nr. | UNINA-9910143397203321 |
Farrell Jay | ||
Hoboken, N.J., : Wiley-Interscience, c2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Adaptive approximation based control [[electronic resource] ] : unifying neural, fuzzy and traditional adaptive approximation approaches / / Jay A. Farrell, Marios M. Polycarpou |
Autore | Farrell Jay |
Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2006 |
Descrizione fisica | 1 online resource (440 p.) |
Disciplina | 629.8 |
Altri autori (Persone) | PolycarpouMarios |
Collana | Wiley series in adaptive and learning systems for signal processing, communication and control |
Soggetto topico |
Adaptive control systems
Feedback control systems |
ISBN |
1-280-44804-0
9786610448043 0-470-32501-1 0-471-78181-9 0-471-78180-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
ADAPTIVE APPROXIMATlON BASED CONTROL; CONTENTS; Preface; 1 Introduction; 1.1 Systems and Control Terminology; 1.2 Nonlinear Systems; 1.3 Feedback Control Approaches; 1.3.1 Linear Design; 1.3.2 Adaptive Linear Design; 1.3.3 Nonlinear Design; 1.3.4 Adaptive Approximation Based Design; 1.3.5 Example Summary; 1.4 Components of Approximation Based Control; 1.4.1 Control Architecture; 1.4.2 Function Approximator; 1.4.3 Stable Training Algorithm; 1.5 Discussion and Philosophical Comments; 1.6 Exercises and Design Problems; 2 Approximation Theory; 2.1 Motivating Example; 2.2 Interpolation
2.3 Function Approximation2.3.1 Offline (Batch) Function Approximation; 2.3.2 Adaptive Function Approximation; 2.4 Approximator Properties; 2.4.1 Parameter (Non) Linearity; 2.4.2 Classical Approximation Results; 2.4.3 Network Approximators; 2.4.4 Nodal Processors; 2.4.5 Universal Approximator; 2.4.6 Best Approximator Property; 2.4.7 Generalization; 2.4.8 Extent of Influence Function Support; 2.4.9 Approximator Transparency; 2.4.10 Haar Conditions; 2.4.11 Multivariable Approximation by Tensor Products; 2.5 Summary; 2.6 Exercises and Design Problems; 3 Approximation Structures; 3.1 Model Types 3.1.1 Physically Based Models3.1.2 Structure (Model) Free Approximation; 3.1.3 Function Approximation Structures; 3.2 Polynomials; 3.2.1 Description; 3.2.2 Properties; 3.3 Splines; 3.3.1 Description; 3.3.2 Properties; 3.4 Radial Basis Functions; 3.4.1 Description; 3.4.2 Properties; 3.5 Cerebellar Model Articulation Controller; 3.5.1 Description; 3.5.2 Properties; 3.6 Multilayer Perceptron; 3.6.1 Description; 3.6.2 Properties; 3.7 Fuzzy Approximation; 3.7.1 Description; 3.7.2 Takagi-Sugeno Fuzzy Systems; 3.7.3 Properties; 3.8 Wavelets; 3.8.1 Multiresolution Analysis (MRA); 3.8.2 MRA Properties 3.9 Further Reading3.10 Exercises and Design Problems; 4 Parameter Estimation Methods; 4.1 Formulation for Adaptive Approximation; 4.1.1 Illustrative Example; 4.1.2 Motivating Simulation Examples; 4.1.3 Problem Statement; 4.1.4 Discussion of Issues in Parametric Estimation; 4.2 Derivation of Parametric Models; 4.2.1 Problem Formulation for Full-State Measurement; 4.2.2 Filtering Techniques; 4.2.3 SPR Filtering; 4.2.4 Linearly Parameterized Approximators; 4.2.5 Parametric Models in State Space Form; 4.2.6 Parametric Models of Discrete-Time Systems 4.2.7 Parametric Models of Input-Output Systems4.3 Design of Online Learning Schemes; 4.3.1 Error Filtering Online Learning (EFOL) Scheme; 4.3.2 Regressor Filtering Online Learning (RFOL) Scheme; 4.4 Continuous-Time Parameter Estimation; 4.4.1 Lyapunov-Based Algorithms; 4.4.2 Optimization Methods; 4.4.3 Summary; 4.5 Online Learning: Analysis; 4.5.1 Analysis of LIP EFOL Scheme with Lyapunov Synthesis Method; 4.5.2 Analysis of LIP RFOL Scheme with the Gradient Algorithm; 4.5.3 Analysis of LIP RFOL Scheme with RLS Algorithm; 4.5.4 Persistency of Excitation and Parameter Convergence 4.6 Robust Learning Algorithms |
Record Nr. | UNINA-9910830081303321 |
Farrell Jay | ||
Hoboken, N.J., : Wiley-Interscience, c2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|