Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Reconstruction of chaotic signals with applications to chaos-based communications [[electronic resource] /] / Jiu Chao Feng, Chi Kong Tse
| Reconstruction of chaotic signals with applications to chaos-based communications [[electronic resource] /] / Jiu Chao Feng, Chi Kong Tse |
| Autore | Feng Jiu Chao |
| Pubbl/distr/stampa | [Beijing, China], : Tsinghua University Press |
| Descrizione fisica | 1 online resource (232 p.) |
| Disciplina | 621.3822 |
| Altri autori (Persone) | TseChi Kong |
| Soggetto topico |
Signal processing
Telecommunication - Quality control Chaotic behavior in systems |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-277-114-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Acknowledgements; Contents; 1 Chaos and Communications; 1.1 Historical Account; 1.2 Chaos; 1.3 Quantifying Chaotic Behavior; 1.3.1 Lyapunov Exponents for Continuous-Time Nonlinear Systems; 1.3.2 Lyapunov Exponent for Discrete-Time Systems; 1.3.3 Kolmogorov Entropy; 1.3.4 Attractor Dimension; 1.4 Properties of Chaos; 1.5 Chaos-Based Communications; 1.5.1 Conventional Spread Spectrum; 1.5.2 Spread Spectrum with Chaos; 1.5.3 Chaotic Synchronization; 1.6 Communications Using Chaos as Carriers; 1.6.1 Chaotic Masking Modulation; 1.6.2 Dynamical Feedback Modulation
1.6.3 Inverse System Modulation 1.6.4 Chaotic Modulation; 1.6.5 Chaos Shift Keying; 1.6.6 Differential Chaos Shift Keying Modulation; 1.7 Remarks on Chaos-Based Communications; 1.7.1 Security Issues; 1.7.2 Engineering Challenges; 2 Reconstruction of Signals; 2.1 Reconstruction of System Dynamics; 2.1.1 Topological Embeddings; 2.1.2 Delay Coordinates; 2.2 Differentiable Embeddings; 2.3 Phase Space Reconstruction-Example; 2.4 Problems and Research Approaches; 3 Fundamentals of Neural Networks; 3.1 Motivation; 3.2 Benefits of Neural Networks; 3.3 Radial Basis Function Neural Networks 3.3.1 Background Theory 3.3.2 Research Progress in Radial Basis Function Networks; 3.4 Recurrent Neural Networks; 3.4.1 Introduction; 3.4.2 Topology of the Recurrent Networks; 3.4.3 Learning Algorithms; 4 Signal Reconstruction in Noise free and Distortionless Channels; 4.1 Reconstruction of Attractor for Continuous Time-Varying Systems; 4.2 Reconstruction and Observability; 4.3 Communications Based on Reconstruction Approach; 4.3.1 Parameter Estimations; 4.3.2 Information Retrievals; 4.4 Reconstruction of Attractor for Discrete Time-Varying Systems; 4.5 Summary 5 Signal Reconstruction from a Filtering Viewpoint: Theory 5.1 The Kalman Filter and Extended Kalman Filter; 5.1.1 The Kalman Filter; 5.1.2 Extended Kalman Filter; 5.2 The Unscented Kalman Filter; 5.2.1 The Unscented Kalman Filtering Algorithm; 5.2.2 Convergence Analysis for the UKF Algorithm; 5.2.3 Computer Simulations; 5.2.3.1 Type 1; 5.2.3.2 Type 2; 5.2.3.3 Type 3; 5.3 Summary; 6 Signal Reconstruction from a Filtering Viewpoint: Application; 6.1 Introduction; 6.2 Filtering of Noisy Chaotic Signals; 6.2.1 Filtering Algorithm; 6.2.2 Computer Simulation 6.3 Blind Equalization for Fading Channels 6.3.1 Modeling of Wireless Communication Channels; 6.3.2 Blind Equalization of Fading Channels with Fixed Channel Coefficients; 6.3.3 Blind Equalization for Time-Varying Fading Channels; 6.4 Summary; 7 Signal Reconstruction in Noisy Channels; 7.1 Review of Chaotic Modulation; 7.2 Formulation of Chaotic Modulation and Demodulation; 7.3 On-Line Adaptive Learning Algorithm and Demodulation; 7.3.1 Description of the Network; 7.3.2 Network Growth; 7.3.3 Network Update with Extended Kalman Filter; 7.3.4 Pruning of Hidden Units 7.3.5 Summary of the Flow of Algorithm |
| Record Nr. | UNINA-9910455043603321 |
Feng Jiu Chao
|
||
| [Beijing, China], : Tsinghua University Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Reconstruction of chaotic signals with applications to chaos-based communications [[electronic resource] /] / Jiu Chao Feng, Chi Kong Tse
| Reconstruction of chaotic signals with applications to chaos-based communications [[electronic resource] /] / Jiu Chao Feng, Chi Kong Tse |
| Autore | Feng Jiu Chao |
| Pubbl/distr/stampa | [Beijing, China], : Tsinghua University Press |
| Descrizione fisica | 1 online resource (232 p.) |
| Disciplina | 621.3822 |
| Altri autori (Persone) | TseChi Kong |
| Soggetto topico |
Signal processing
Telecommunication - Quality control Chaotic behavior in systems |
| ISBN | 981-277-114-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Acknowledgements; Contents; 1 Chaos and Communications; 1.1 Historical Account; 1.2 Chaos; 1.3 Quantifying Chaotic Behavior; 1.3.1 Lyapunov Exponents for Continuous-Time Nonlinear Systems; 1.3.2 Lyapunov Exponent for Discrete-Time Systems; 1.3.3 Kolmogorov Entropy; 1.3.4 Attractor Dimension; 1.4 Properties of Chaos; 1.5 Chaos-Based Communications; 1.5.1 Conventional Spread Spectrum; 1.5.2 Spread Spectrum with Chaos; 1.5.3 Chaotic Synchronization; 1.6 Communications Using Chaos as Carriers; 1.6.1 Chaotic Masking Modulation; 1.6.2 Dynamical Feedback Modulation
1.6.3 Inverse System Modulation 1.6.4 Chaotic Modulation; 1.6.5 Chaos Shift Keying; 1.6.6 Differential Chaos Shift Keying Modulation; 1.7 Remarks on Chaos-Based Communications; 1.7.1 Security Issues; 1.7.2 Engineering Challenges; 2 Reconstruction of Signals; 2.1 Reconstruction of System Dynamics; 2.1.1 Topological Embeddings; 2.1.2 Delay Coordinates; 2.2 Differentiable Embeddings; 2.3 Phase Space Reconstruction-Example; 2.4 Problems and Research Approaches; 3 Fundamentals of Neural Networks; 3.1 Motivation; 3.2 Benefits of Neural Networks; 3.3 Radial Basis Function Neural Networks 3.3.1 Background Theory 3.3.2 Research Progress in Radial Basis Function Networks; 3.4 Recurrent Neural Networks; 3.4.1 Introduction; 3.4.2 Topology of the Recurrent Networks; 3.4.3 Learning Algorithms; 4 Signal Reconstruction in Noise free and Distortionless Channels; 4.1 Reconstruction of Attractor for Continuous Time-Varying Systems; 4.2 Reconstruction and Observability; 4.3 Communications Based on Reconstruction Approach; 4.3.1 Parameter Estimations; 4.3.2 Information Retrievals; 4.4 Reconstruction of Attractor for Discrete Time-Varying Systems; 4.5 Summary 5 Signal Reconstruction from a Filtering Viewpoint: Theory 5.1 The Kalman Filter and Extended Kalman Filter; 5.1.1 The Kalman Filter; 5.1.2 Extended Kalman Filter; 5.2 The Unscented Kalman Filter; 5.2.1 The Unscented Kalman Filtering Algorithm; 5.2.2 Convergence Analysis for the UKF Algorithm; 5.2.3 Computer Simulations; 5.2.3.1 Type 1; 5.2.3.2 Type 2; 5.2.3.3 Type 3; 5.3 Summary; 6 Signal Reconstruction from a Filtering Viewpoint: Application; 6.1 Introduction; 6.2 Filtering of Noisy Chaotic Signals; 6.2.1 Filtering Algorithm; 6.2.2 Computer Simulation 6.3 Blind Equalization for Fading Channels 6.3.1 Modeling of Wireless Communication Channels; 6.3.2 Blind Equalization of Fading Channels with Fixed Channel Coefficients; 6.3.3 Blind Equalization for Time-Varying Fading Channels; 6.4 Summary; 7 Signal Reconstruction in Noisy Channels; 7.1 Review of Chaotic Modulation; 7.2 Formulation of Chaotic Modulation and Demodulation; 7.3 On-Line Adaptive Learning Algorithm and Demodulation; 7.3.1 Description of the Network; 7.3.2 Network Growth; 7.3.3 Network Update with Extended Kalman Filter; 7.3.4 Pruning of Hidden Units 7.3.5 Summary of the Flow of Algorithm |
| Record Nr. | UNINA-9910778068903321 |
|
Feng Jiu Chao
|
||
| [Beijing, China], : Tsinghua University Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Reconstruction of chaotic signals with applications to chaos-based communications / / Jiu Chao Feng, Chi Kong Tse
| Reconstruction of chaotic signals with applications to chaos-based communications / / Jiu Chao Feng, Chi Kong Tse |
| Autore | Feng Jiu Chao |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | [Beijing, China], : Tsinghua University Press |
| Descrizione fisica | 1 online resource (232 p.) |
| Disciplina | 621.3822 |
| Altri autori (Persone) | TseChi Kong |
| Soggetto topico |
Signal processing
Telecommunication - Quality control Chaotic behavior in systems |
| ISBN | 981-277-114-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Acknowledgements; Contents; 1 Chaos and Communications; 1.1 Historical Account; 1.2 Chaos; 1.3 Quantifying Chaotic Behavior; 1.3.1 Lyapunov Exponents for Continuous-Time Nonlinear Systems; 1.3.2 Lyapunov Exponent for Discrete-Time Systems; 1.3.3 Kolmogorov Entropy; 1.3.4 Attractor Dimension; 1.4 Properties of Chaos; 1.5 Chaos-Based Communications; 1.5.1 Conventional Spread Spectrum; 1.5.2 Spread Spectrum with Chaos; 1.5.3 Chaotic Synchronization; 1.6 Communications Using Chaos as Carriers; 1.6.1 Chaotic Masking Modulation; 1.6.2 Dynamical Feedback Modulation
1.6.3 Inverse System Modulation 1.6.4 Chaotic Modulation; 1.6.5 Chaos Shift Keying; 1.6.6 Differential Chaos Shift Keying Modulation; 1.7 Remarks on Chaos-Based Communications; 1.7.1 Security Issues; 1.7.2 Engineering Challenges; 2 Reconstruction of Signals; 2.1 Reconstruction of System Dynamics; 2.1.1 Topological Embeddings; 2.1.2 Delay Coordinates; 2.2 Differentiable Embeddings; 2.3 Phase Space Reconstruction-Example; 2.4 Problems and Research Approaches; 3 Fundamentals of Neural Networks; 3.1 Motivation; 3.2 Benefits of Neural Networks; 3.3 Radial Basis Function Neural Networks 3.3.1 Background Theory 3.3.2 Research Progress in Radial Basis Function Networks; 3.4 Recurrent Neural Networks; 3.4.1 Introduction; 3.4.2 Topology of the Recurrent Networks; 3.4.3 Learning Algorithms; 4 Signal Reconstruction in Noise free and Distortionless Channels; 4.1 Reconstruction of Attractor for Continuous Time-Varying Systems; 4.2 Reconstruction and Observability; 4.3 Communications Based on Reconstruction Approach; 4.3.1 Parameter Estimations; 4.3.2 Information Retrievals; 4.4 Reconstruction of Attractor for Discrete Time-Varying Systems; 4.5 Summary 5 Signal Reconstruction from a Filtering Viewpoint: Theory 5.1 The Kalman Filter and Extended Kalman Filter; 5.1.1 The Kalman Filter; 5.1.2 Extended Kalman Filter; 5.2 The Unscented Kalman Filter; 5.2.1 The Unscented Kalman Filtering Algorithm; 5.2.2 Convergence Analysis for the UKF Algorithm; 5.2.3 Computer Simulations; 5.2.3.1 Type 1; 5.2.3.2 Type 2; 5.2.3.3 Type 3; 5.3 Summary; 6 Signal Reconstruction from a Filtering Viewpoint: Application; 6.1 Introduction; 6.2 Filtering of Noisy Chaotic Signals; 6.2.1 Filtering Algorithm; 6.2.2 Computer Simulation 6.3 Blind Equalization for Fading Channels 6.3.1 Modeling of Wireless Communication Channels; 6.3.2 Blind Equalization of Fading Channels with Fixed Channel Coefficients; 6.3.3 Blind Equalization for Time-Varying Fading Channels; 6.4 Summary; 7 Signal Reconstruction in Noisy Channels; 7.1 Review of Chaotic Modulation; 7.2 Formulation of Chaotic Modulation and Demodulation; 7.3 On-Line Adaptive Learning Algorithm and Demodulation; 7.3.1 Description of the Network; 7.3.2 Network Growth; 7.3.3 Network Update with Extended Kalman Filter; 7.3.4 Pruning of Hidden Units 7.3.5 Summary of the Flow of Algorithm |
| Record Nr. | UNINA-9910822833403321 |
|
Feng Jiu Chao
|
||
| [Beijing, China], : Tsinghua University Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||