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Polyoxometalates
| Polyoxometalates |
| Pubbl/distr/stampa | China, : Tsinghua University Press |
| ISSN | 2957-9503 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910676681503321 |
| China, : Tsinghua University Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Power grid complexity / Shengwei Mei, Xuemin Zhang, Ming Cao
| Power grid complexity / Shengwei Mei, Xuemin Zhang, Ming Cao |
| Autore | MEI, Shengwei |
| Pubbl/distr/stampa | Beijing : Tsinghua University Press, copyr. 2011 |
| Descrizione fisica | XVI, 455 p. ; 24 cm |
| Disciplina | 621.319 |
| Altri autori (Persone) |
ZHANG, Xuemin
CAO, Ming |
| Soggetto topico | Energia elettrica - Trasmissione - Modelli matematici |
| ISBN |
978-7-302-23280-3
978-3-642-16210-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-990005995530203316 |
MEI, Shengwei
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| Beijing : Tsinghua University Press, copyr. 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Radial basis function (RBF) neural network control for mechanical systems : design, analysis and matlab simulation / / Jinkun Liu
| Radial basis function (RBF) neural network control for mechanical systems : design, analysis and matlab simulation / / Jinkun Liu |
| Autore | Liu Jinkun |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Heidelberg, Germany : , : Springer |
| Descrizione fisica | 1 online resource (xv, 365 pages) : illustrations |
| Disciplina | 629.895 |
| Collana | Gale eBooks |
| Soggetto topico |
Radial basis functions
Neural networks (Computer science) |
| ISBN |
1-299-33759-7
3-642-34816-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- RBF Neural Network Design and Simulation -- RBF Neural Network Control Based on Gradient Descent Algorithm -- Adaptive RBF Neural Network Control -- Neural Network Sliding Mode Control -- Adaptive RBF Control Based on Global Approximation -- Adaptive Robust RBF Control Based on Local Approximation -- Backstepping Control with RBF -- Digital RBF Neural Network Control -- Discrete Neural Network Control -- Adaptive RBF Observer Design and Sliding Mode Control. |
| Record Nr. | UNINA-9910437917903321 |
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Liu Jinkun
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| Heidelberg, Germany : , : Springer | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Feng Jiu Chao
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| [Beijing, China], : Tsinghua University Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 | ||
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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 |
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Feng Jiu Chao
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||
| [Beijing, China], : Tsinghua University Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
| Pubbl/distr/stampa | [Beijing, China] : Tsinghua University Press |
| Descrizione fisica | xiv, 218 p. : ill. ; 24 cm |
| Disciplina | 621.382 |
| Altri autori (Persone) | Tse, Chi Kongauthor |
| Soggetto topico |
Signal processing
Telecommunication - Quality control Chaotic behavior in systems |
| ISBN |
9789812771131
9812771131 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991000300409707536 |
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Feng, Jiu Chao
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| [Beijing, China] : Tsinghua University Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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Stress and brain
| Stress and brain |
| Pubbl/distr/stampa | Beijing, China : , : Tsinghua University Press, , 2021- |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Neurosciences
Stress (Physiology) Stress (Psychology) Nervous system Stress management Neuroendocrinology |
| Soggetto genere / forma |
Periodicals.
Serial publications. |
| ISSN | 2709-0388 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910647269003321 |
| Beijing, China : , : Tsinghua University Press, , 2021- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Stress and brain
| Stress and brain |
| Pubbl/distr/stampa | Beijing, China : , : Tsinghua University Press, , 2021- |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Neurosciences
Stress (Physiology) Stress (Psychology) Nervous system Stress management Neuroendocrinology |
| Soggetto genere / forma |
Periodicals.
Serial publications. |
| ISSN | 2709-0388 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996510047803316 |
| Beijing, China : , : Tsinghua University Press, , 2021- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Translational neuroscience and clinics
| Translational neuroscience and clinics |
| Pubbl/distr/stampa | Beijing, : Tsinghua University Press, , 2015-2017 |
| Descrizione fisica | 1 online resource (3 volumes) |
| Soggetto topico |
Neurosciences
Medical innovations Médecine - Innovations |
| Soggetto genere / forma | Periodicals. |
| ISSN | 2096-0670 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Lin chuang zhuan hua shen jing yi xue (Ying wen) |
| Record Nr. | UNISA-996290147703316 |
| Beijing, : Tsinghua University Press, , 2015-2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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