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Band-limited, white gaussian noise excitation for reverberation chambers and applications to radiated susceptibility testing / / M. L. Crawford
Band-limited, white gaussian noise excitation for reverberation chambers and applications to radiated susceptibility testing / / M. L. Crawford
Autore Crawford M. L
Pubbl/distr/stampa Gaithersburg, MD : , : U.S. Dept. of Commerce, National Institute of Standards and Technology, , 1996
Descrizione fisica 1 online resource
Altri autori (Persone) CrawfordM. L
Collana NIST technical note
Soggetto topico Electromagnetic noise - Testing
Microwave communication systems - Testing
Random noise theory
Sound - Reverberation - Testing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910711208803321
Crawford M. L  
Gaithersburg, MD : , : U.S. Dept. of Commerce, National Institute of Standards and Technology, , 1996
Materiale a stampa
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Bounded noises in physics, biology, and engineering / / Alberto d'Onofrio, editor
Bounded noises in physics, biology, and engineering / / Alberto d'Onofrio, editor
Edizione [1st ed. 2013.]
Pubbl/distr/stampa New York : , : Birkhauser, , 2013
Descrizione fisica 1 online resource (xvi, 285 pages) : illustrations (some color)
Disciplina 003.54
519.2
Collana Modeling and Simulation in Science, Engineering and Technology
Soggetto topico Random noise theory
Stochastic processes
ISBN 1-4614-7385-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Part I : Modeling of Bounded Noises and Their Applications in Physics -- On Bounded Stochastic Processes -- Dynamics of Systems With Randomly Disordered Periodic Excitations -- Noise-Induced Phenomena: Effects of Noises Based on Tsallis  Statistics -- Dynamical Systems Driven by Dichotomous Noise -- Stochastic Oscillator : Brownian Motion With Adhesion -- Numerical Study of Energetic Stability For Harmonic Oscillator With Fluctuating Damping Parameter -- A Moment-Based Approach to Bounded Non-Gaussian Colored Noise -- Spatiotemporal Bounded Noises, and Their Application to the Ginzburg-Landau Equation -- Part II: Bounded Noises in the Framework of Discrete and Continuous Random Dynamical Systems -- Bifurcations of Random Differential Equations With Bounded Noise -- Effects of Bounded Random Perturbations on Discrete Dynamical Systems -- Part III: Bounded Stochastic Fluctuations in Biology -- Bounded Stochastic Perturbations May Induce Non-Genetic Resistance to Anti-Tumor Chemotherapy -- Interplay Between Cross Correlation and Delays in the Sine-Wienernoise-Induced Transitions -- Bounded Extrinsic Noises Affecting Biochemical Networks With Low Molecule Numbers -- Part IV: Bounded Noises: Applications in Engineering -- Almost Sure Stability of Fractional Viscoelastic Systems Driven By Bounded Noises -- Model Selection for Random Functions With Bounded  Range. Applications in Science and Engineering -- From Model-Based to Data-Driven Filter Design.
Record Nr. UNINA-9910438033203321
New York : , : Birkhauser, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Detection of a chi-square fuctuating target in gaussian noise / / David M. Drumheller
Detection of a chi-square fuctuating target in gaussian noise / / David M. Drumheller
Autore Drumheller David M.
Pubbl/distr/stampa Washington, DC : , : United States Navy, Naval Research Laboratory, , 1994
Descrizione fisica 1 online resource (iii, 10 pages) : illustrations
Soggetto topico Random noise theory
Target acquisition
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910704134003321
Drumheller David M.  
Washington, DC : , : United States Navy, Naval Research Laboratory, , 1994
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Detection of signals in noise
Detection of signals in noise
Autore McDonough Robert N
Edizione [2nd ed. /]
Pubbl/distr/stampa San Diego, : Academic Press, c1995
Descrizione fisica 1 online resource (512 p.)
Disciplina 621.382/24
Altri autori (Persone) WhalenAnthony D
Soggetto topico Signal detection
Signal processing - Statistical methods
Random noise theory
Signal processing - Digital techniques
ISBN 1-283-61899-0
0-08-050408-6
9786613931443
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Detection of Signals in Noise; Copyright Page; Dedication; Table of Contents; Preface; Chapter 1. Probability; 1.1 Probability in Brief; 1.2 Conditional Probability and Statistical Independence; 1.3 Probability Distribution Functions; 1.4 Continuous Random Variables; 1.5 Functions of Random Variables; 1.6 Characteristic Functions; 1.7 Expectation and Moments; 1.8 Complex Random Variables; Exercises; Chapter 2. Random Processes; 2.1 Introduction; 2.2 Relation to Probability; 2.3 Ensemble Correlation Functions; 2.4 Time Averages; 2.5 Power Spectral Density
2.6 Response of Linear FiltersExercises; Chapter 3. Narrowband Signals; 3.1 The Analytic Signal; 3.2 Narrowband Signals; 3.3 Hilbert Transform; 3.4 Narrowband Filters; 3.5 Narrowband Processes; 3.6 Determination of the Complex Envelope; 3.7 Fourier Series Representation; Exercises; Chapter 4. Gaussian Derived Processes; 4.1 The Gaussian Probability Density; 4.2 The Central Limit Theorem; 4.3 Sum of a Sine Wave and a Gaussian Process; 4.4 Distribution of the Envelope of a Narrowband Process; 4.5 Envelope of a Narrowband Signal Plus Narrowband Noise
4.6 Squared Envelope of a Narrowband Noise Process4.7 The Chi-Squared Density; 4.8 Squared Envelope of a Sine Wave Plus a Narrowband Process; 4.9 Noncentral Chi-Squared Density; 4.10 Student's t-Density; 4.11 Snedecor's F-Density; Exercises; Chapter 5. Hypothesis Testing; 5.1 Introduction; 5.2 A Simple Detection Problem; 5.3 The Neyman-Pearson Criterion; 5.4 Bayes' Criterion; 5.5 Minimum Error Probability Criterion; 5.6 Minimax Criterion; 5.7 Multiple Measurements; 5.8 Multiple Alternative Hypothesis Testing; 5.9 Composite Hypothesis Testing with Minimum Cost; 5.10 Sufficient Statistics
5.11 Uniformly Most Powerful Tests5.12 Unknown a Priori Information and Nonoptimal Tests; Exercises; Chapter 6. Detection of Known Signals; 6.1 Two Completely Known Signals in Additive Gaussian Noise; 6.2 Application to Radar; 6.3 Application to Binary Communications; 6.4 The Likelihood Functions; 6.5 Matched Filters; 6.6 The General Discrete Matched Filter; 6.7 An m-ary Communication System; 6.8 The General Discrete Gaussian Problem; Exercises; Chapter 7. Detection of Signals with Random Parameters; 7.1 Processing Narrowband Signals; 7.2 Detection of Signals with Unknown Carrier Phase
7.3 The Quadrature Receiver and Equivalent Forms7.4 Receiver Operating Characteristics; 7.5 Signals with Random Phase and Amplitude; 7.6 Noncoherent Frequency Shift Keying; 7.7 Signals with Random Frequency; 7.8 Signals with Random Time of Arrival; Exercises; Chapter 8. Multiple Pulse Detection of Signals; 8.1 Known Signals; 8.2 Signals with Unknown Phase; 8.3 Performance of the Quadratic Detector; 8.4 Gram-Charlier Series; 8.5 Performance of the Linear Detector; 8.6 The Case of Unknown Phase and Known Unequal Amplitudes; 8.7 Unknown Amplitude and Phase; 8.8 Diversity Reception; Appendix 1
Appendix 2
Record Nr. UNINA-9911006536703321
McDonough Robert N  
San Diego, : Academic Press, c1995
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Fluctuation and noise letters : FNL
Fluctuation and noise letters : FNL
Pubbl/distr/stampa Singapore ; ; River Edge, NJ, : World Scientific, ©2001-
Disciplina 519.23
Soggetto topico Random noise theory
Nanostructured materials
Nonlinear systems
Nonlinear Dynamics
Soggetto genere / forma Periodicals.
ISSN 1793-6780
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti FNL
Record Nr. UNINA-9910339025103321
Singapore ; ; River Edge, NJ, : World Scientific, ©2001-
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Introduction to random signals and applied Kalman filtering : with MATLAB exercises and solutions / Robert Grover Brown, Patrick Y.C. Hwang
Introduction to random signals and applied Kalman filtering : with MATLAB exercises and solutions / Robert Grover Brown, Patrick Y.C. Hwang
Autore Brown, Robert Grover
Edizione [3rd ed.]
Pubbl/distr/stampa New York [etc] : Wiley, c1997
Descrizione fisica xi, 484 p. : ill. ; 26 cm + floppy
Disciplina 621.3822
Altri autori (Persone) Hwang, Patrick Y. C.
Soggetto topico Signal processing - Data processing
Random noise theory
ISBN 0471128392
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991000918549707536
Brown, Robert Grover  
New York [etc] : Wiley, c1997
Materiale a stampa
Lo trovi qui: Univ. del Salento
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Introduction to random signals and noise / / Wim C. van Etten
Introduction to random signals and noise / / Wim C. van Etten
Autore Etten Wim van
Edizione [1st edition]
Pubbl/distr/stampa Chichester, England ; ; Hoboken, NJ, : Wiley, c2005
Descrizione fisica 1 online resource (271 p.)
Disciplina 621.3822
Soggetto topico Signal processing
Stochastic processes
Random noise theory
ISBN 1-280-33964-0
9786610339648
0-470-02413-5
0-470-02412-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Random Signals and Noise; Contents; Preface; 1 Introduction; 1.1 Random Signals and Noise; 1.2 Modelling; 1.3 The Concept of a Stochastic Process; 1.3.1 Continuous Stochastic Processes; 1.3.2 Discrete-Time Processes (Continuous Random Sequences); 1.3.3 Discrete Stochastic Processes; 1.3.4 Discrete Random Sequences; 1.3.5 Deterministic Function versus Stochastic Process; 1.4 Summary; 2 Stochastic Processes; 2.1 Stationary Processes; 2.1.1 Cumulative Distribution Function and Probability Density Function; 2.1.2 First-Order Stationary Processes
2.1.3 Second-Order Stationary Processes2.1.4 Nth-Order Stationary Processes; 2.2 Correlation Functions; 2.2.1 The Autocorrelation Function, Wide-Sense Stationary Processes and Ergodic Processes; 2.2.2 Cyclo-Stationary Processes; 2.2.3 The Cross-Correlation Function; 2.2.4 Measuring Correlation Functions; 2.2.5 Covariance Functions; 2.2.6 Physical Interpretation of Process Parameters; 2.3 Gaussian Processes; 2.4 Complex Processes; 2.5 Discrete-Time Processes; 2.5.1 Mean, Correlation Functions and Covariance Functions; 2.6 Summary; 2.7 Problems; 3 Spectra of Stochastic Processes
3.1 The Power Spectrum3.2 The Bandwidth of a Stochastic Process; 3.3 The Cross-Power Spectrum; 3.4 Modulation of Stochastic Processes; 3.4.1 Modulation by a Random Carrier; 3.5 Sampling and Analogue-To-Digital Conversion; 3.5.1 Sampling Theorems; 3.5.2 A/D Conversion; 3.6 Spectrum of Discrete-Time Processes; 3.7 Summary; 3.8 Problems; 4. Linear Filtering of Stochastic Processes; 4.1 Basics of Linear Time-Invariant Filtering; 4.2 Time Domain Description of Filtering of Stochastic Processes; 4.2.1 The Mean Value of the Filter Output; 4.2.2 The Autocorrelations Function of the Output
4.2.3 Cross-Correlation of the Input and Output4.3 Spectra of the Filter Output; 4.4 Noise Bandwidth; 4.4.1 Band-Limited Processes and Systems; 4.4.2 Equivalent Noise Bandwidth; 4.5 Spectrum of a Random Data Signal; 4.6 Principles of Discrete-Time Signals and Systems; 4.6.1 The Discrete Fourier Transform; 4.6.2 The z-Transform; 4.7 Discrete-Time Filtering of Random Sequences; 4.7.1 Time Domain Description of the Filtering; 4.7.2 Frequency Domain Description of the Filtering; 4.8 Summary; 4.9 Problems; 5 Bandpass Processes; 5.1 Description of Deterministic Bandpass Signals
5.2 Quadrature Components of Bandpass Processes5.3 Probability Density Functions of the Envelope and Phase of Bandpass Noise; 5.4 Measurement of Spectra; 5.4.1 The Spectrum Analyser; 5.4.2 Measurement of the Quadrature Components; 5.5 Sampling of Bandpass Processes; 5.5.1 Conversion to Baseband; 5.5.2 Direct Sampling; 5.6 Summary; 5.7 Problems; 6 Noise in Networks and Systems; 6.1 White and Coloured Noise; 6.2 Thermal Noise in Resistors; 6.3 Thermal Noise in Passive Networks; 6.4 System Noise; 6.4.1 Noise in Amplifiers; 6.4.2 The Noise Figure; 6.4.3 Noise in Cascaded systems; 6.5 Summary
6.6 Problems
Record Nr. UNINA-9910143581403321
Etten Wim van  
Chichester, England ; ; Hoboken, NJ, : Wiley, c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Introduction to random signals and noise / / Wim C. van Etten
Introduction to random signals and noise / / Wim C. van Etten
Autore Etten Wim van
Edizione [1st edition]
Pubbl/distr/stampa Chichester, England ; ; Hoboken, NJ, : Wiley, c2005
Descrizione fisica 1 online resource (271 p.)
Disciplina 621.3822
Soggetto topico Signal processing
Stochastic processes
Random noise theory
ISBN 1-280-33964-0
9786610339648
0-470-02413-5
0-470-02412-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Random Signals and Noise; Contents; Preface; 1 Introduction; 1.1 Random Signals and Noise; 1.2 Modelling; 1.3 The Concept of a Stochastic Process; 1.3.1 Continuous Stochastic Processes; 1.3.2 Discrete-Time Processes (Continuous Random Sequences); 1.3.3 Discrete Stochastic Processes; 1.3.4 Discrete Random Sequences; 1.3.5 Deterministic Function versus Stochastic Process; 1.4 Summary; 2 Stochastic Processes; 2.1 Stationary Processes; 2.1.1 Cumulative Distribution Function and Probability Density Function; 2.1.2 First-Order Stationary Processes
2.1.3 Second-Order Stationary Processes2.1.4 Nth-Order Stationary Processes; 2.2 Correlation Functions; 2.2.1 The Autocorrelation Function, Wide-Sense Stationary Processes and Ergodic Processes; 2.2.2 Cyclo-Stationary Processes; 2.2.3 The Cross-Correlation Function; 2.2.4 Measuring Correlation Functions; 2.2.5 Covariance Functions; 2.2.6 Physical Interpretation of Process Parameters; 2.3 Gaussian Processes; 2.4 Complex Processes; 2.5 Discrete-Time Processes; 2.5.1 Mean, Correlation Functions and Covariance Functions; 2.6 Summary; 2.7 Problems; 3 Spectra of Stochastic Processes
3.1 The Power Spectrum3.2 The Bandwidth of a Stochastic Process; 3.3 The Cross-Power Spectrum; 3.4 Modulation of Stochastic Processes; 3.4.1 Modulation by a Random Carrier; 3.5 Sampling and Analogue-To-Digital Conversion; 3.5.1 Sampling Theorems; 3.5.2 A/D Conversion; 3.6 Spectrum of Discrete-Time Processes; 3.7 Summary; 3.8 Problems; 4. Linear Filtering of Stochastic Processes; 4.1 Basics of Linear Time-Invariant Filtering; 4.2 Time Domain Description of Filtering of Stochastic Processes; 4.2.1 The Mean Value of the Filter Output; 4.2.2 The Autocorrelations Function of the Output
4.2.3 Cross-Correlation of the Input and Output4.3 Spectra of the Filter Output; 4.4 Noise Bandwidth; 4.4.1 Band-Limited Processes and Systems; 4.4.2 Equivalent Noise Bandwidth; 4.5 Spectrum of a Random Data Signal; 4.6 Principles of Discrete-Time Signals and Systems; 4.6.1 The Discrete Fourier Transform; 4.6.2 The z-Transform; 4.7 Discrete-Time Filtering of Random Sequences; 4.7.1 Time Domain Description of the Filtering; 4.7.2 Frequency Domain Description of the Filtering; 4.8 Summary; 4.9 Problems; 5 Bandpass Processes; 5.1 Description of Deterministic Bandpass Signals
5.2 Quadrature Components of Bandpass Processes5.3 Probability Density Functions of the Envelope and Phase of Bandpass Noise; 5.4 Measurement of Spectra; 5.4.1 The Spectrum Analyser; 5.4.2 Measurement of the Quadrature Components; 5.5 Sampling of Bandpass Processes; 5.5.1 Conversion to Baseband; 5.5.2 Direct Sampling; 5.6 Summary; 5.7 Problems; 6 Noise in Networks and Systems; 6.1 White and Coloured Noise; 6.2 Thermal Noise in Resistors; 6.3 Thermal Noise in Passive Networks; 6.4 System Noise; 6.4.1 Noise in Amplifiers; 6.4.2 The Noise Figure; 6.4.3 Noise in Cascaded systems; 6.5 Summary
6.6 Problems
Record Nr. UNINA-9910830178703321
Etten Wim van  
Chichester, England ; ; Hoboken, NJ, : Wiley, c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Introduction to random signals and noise / / Wim C. van Etten
Introduction to random signals and noise / / Wim C. van Etten
Autore Etten Wim van
Edizione [1st edition]
Pubbl/distr/stampa Chichester, England ; ; Hoboken, NJ, : Wiley, c2005
Descrizione fisica 1 online resource (271 p.)
Disciplina 621.382/2
Soggetto topico Signal processing
Stochastic processes
Random noise theory
ISBN 9786610339648
9781280339646
1280339640
9780470024133
0470024135
9780470024126
0470024127
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Random Signals and Noise; Contents; Preface; 1 Introduction; 1.1 Random Signals and Noise; 1.2 Modelling; 1.3 The Concept of a Stochastic Process; 1.3.1 Continuous Stochastic Processes; 1.3.2 Discrete-Time Processes (Continuous Random Sequences); 1.3.3 Discrete Stochastic Processes; 1.3.4 Discrete Random Sequences; 1.3.5 Deterministic Function versus Stochastic Process; 1.4 Summary; 2 Stochastic Processes; 2.1 Stationary Processes; 2.1.1 Cumulative Distribution Function and Probability Density Function; 2.1.2 First-Order Stationary Processes
2.1.3 Second-Order Stationary Processes2.1.4 Nth-Order Stationary Processes; 2.2 Correlation Functions; 2.2.1 The Autocorrelation Function, Wide-Sense Stationary Processes and Ergodic Processes; 2.2.2 Cyclo-Stationary Processes; 2.2.3 The Cross-Correlation Function; 2.2.4 Measuring Correlation Functions; 2.2.5 Covariance Functions; 2.2.6 Physical Interpretation of Process Parameters; 2.3 Gaussian Processes; 2.4 Complex Processes; 2.5 Discrete-Time Processes; 2.5.1 Mean, Correlation Functions and Covariance Functions; 2.6 Summary; 2.7 Problems; 3 Spectra of Stochastic Processes
3.1 The Power Spectrum3.2 The Bandwidth of a Stochastic Process; 3.3 The Cross-Power Spectrum; 3.4 Modulation of Stochastic Processes; 3.4.1 Modulation by a Random Carrier; 3.5 Sampling and Analogue-To-Digital Conversion; 3.5.1 Sampling Theorems; 3.5.2 A/D Conversion; 3.6 Spectrum of Discrete-Time Processes; 3.7 Summary; 3.8 Problems; 4. Linear Filtering of Stochastic Processes; 4.1 Basics of Linear Time-Invariant Filtering; 4.2 Time Domain Description of Filtering of Stochastic Processes; 4.2.1 The Mean Value of the Filter Output; 4.2.2 The Autocorrelations Function of the Output
4.2.3 Cross-Correlation of the Input and Output4.3 Spectra of the Filter Output; 4.4 Noise Bandwidth; 4.4.1 Band-Limited Processes and Systems; 4.4.2 Equivalent Noise Bandwidth; 4.5 Spectrum of a Random Data Signal; 4.6 Principles of Discrete-Time Signals and Systems; 4.6.1 The Discrete Fourier Transform; 4.6.2 The z-Transform; 4.7 Discrete-Time Filtering of Random Sequences; 4.7.1 Time Domain Description of the Filtering; 4.7.2 Frequency Domain Description of the Filtering; 4.8 Summary; 4.9 Problems; 5 Bandpass Processes; 5.1 Description of Deterministic Bandpass Signals
5.2 Quadrature Components of Bandpass Processes5.3 Probability Density Functions of the Envelope and Phase of Bandpass Noise; 5.4 Measurement of Spectra; 5.4.1 The Spectrum Analyser; 5.4.2 Measurement of the Quadrature Components; 5.5 Sampling of Bandpass Processes; 5.5.1 Conversion to Baseband; 5.5.2 Direct Sampling; 5.6 Summary; 5.7 Problems; 6 Noise in Networks and Systems; 6.1 White and Coloured Noise; 6.2 Thermal Noise in Resistors; 6.3 Thermal Noise in Passive Networks; 6.4 System Noise; 6.4.1 Noise in Amplifiers; 6.4.2 The Noise Figure; 6.4.3 Noise in Cascaded systems; 6.5 Summary
6.6 Problems
Altri titoli varianti Random signals and noise
Record Nr. UNINA-9911019261303321
Etten Wim van  
Chichester, England ; ; Hoboken, NJ, : Wiley, c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Noise and randomness in living system / / Sisir Roy and Sarangam Majumdar
Noise and randomness in living system / / Sisir Roy and Sarangam Majumdar
Autore Roy Sisir
Pubbl/distr/stampa Gateway East, Singapore : , : Springer, , [2022]
Descrizione fisica 1 online resource (166 pages)
Disciplina 573.8
Soggetto topico Noise
Neurobiology
Random noise theory
ISBN 981-16-9583-0
981-16-9582-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Acknowledgements -- Contents -- About the Authors -- 1 Introduction -- 1.1 Noise and Randomness in Science and Engineering -- 1.2 Stochastic Resonance and Sensory Biology -- 1.3 Developmental Noise -- 1.4 Noise in Cellular Communication -- 1.5 Ion Channel Noise in Biological Systems -- 1.6 Noise and Coherence in Meditation -- 1.7 Synthetic Biology and Noise -- 1.8 Chance, Determinism and Laws of Nature -- References -- Part I Science and Engineering -- 2 Noise and Randomness in Science and Engineering -- 2.1 Introduction -- 2.2 Representation of Noise -- 2.3 Different Types of Noise -- 2.4 Difference Between Classical and Quantum Noise -- 2.5 Noise Benefit in Quantum Systems -- 2.6 Discussions -- References -- 3 Various Types of Noise and Their Sources -- 3.1 Basic Concepts of Noise in Physics -- 3.1.1 Properties of Noise -- 3.1.2 Thermal Noise -- 3.1.3 Short Noise -- 3.1.4 Excess Noise -- 3.1.5 Low Frequency Noise -- 3.2 Quantum Noise -- References -- 4 Constructive Role of Noise and Nonlinear Dynamics -- 4.1 Introduction to Nonlinear Dynamics -- 4.2 Linear Systems -- 4.2.1 Linear Systems in 2 -- 4.2.2 Stability Theory -- 4.2.3 Nonhomogeneous Linear Systems -- 4.3 Local Theory of Nonlinear Systems -- 4.3.1 Linearization -- 4.3.2 Lyapunov Function and Stability -- 4.4 Global Theory of Nonlinear Systems -- 4.5 Examples of Nonlinear Systems -- 4.5.1 Bifurcation of Nonlinear System in 2 -- 4.5.2 Chaotic Systems -- 4.5.3 Fractals -- 4.6 Constructive Role of Noise -- 4.6.1 Noise Benefits in the Context of Living Organisms -- References -- 5 Noise and Synchronization of Oscillatory Networks -- 5.1 Noise Induced Synchronization -- 5.2 Stochastic Kuramoto Model -- References -- Part II Living Systems -- 6 Stochastic Fluctuations at Cellular and Molecular Level -- 6.1 Introduction -- 6.2 Stochastic Partitioning at Cell Division.
6.3 Remarks -- References -- 7 Various Types of Noise and Their Sources in Living Organisms -- 7.1 Introduction -- 7.2 Cellular Noise -- 7.2.1 Stochastic Gene Expression Model -- 7.2.1.1 Mathematical Frameworks -- 7.2.1.2 Transcription Burst Frequency Fluctuations -- 7.2.1.3 Transcriptional Burst Size Fluctuations -- 7.2.1.4 Transcriptional Rate Fluctuations -- 7.3 Neuronal Noise -- References -- 8 Ion Channel Noise in Biological Systems -- 8.1 Introduction -- 8.2 Structure and Function of Ion Channel -- 8.2.1 Some Basic Concepts of Noise Analysis -- 8.2.2 Channel Noise -- 8.3 Single Channel Recordings and Channel Noise -- 8.4 Role of Noise and Cooperativity in Hodgkin-Huxley (HH) Formalism -- 8.4.1 Clinical Implications of Channel Noise -- References -- 9 Noise in Cellular Communication -- 9.1 Effect of Noises on Cell Communication -- 9.1.1 Mathematical Framework -- 9.1.2 Model Predictions -- References -- 10 The Role of Noise in Brain Function -- 10.1 Introduction -- 10.2 Stochastic Resonance and Sensory Biology -- 10.3 Principle of Least Time and Sum over Histories -- 10.3.1 40Hz Oscillations and the Concept of Simultaneity -- 10.3.2 Principle of Least Time -- 10.3.3 Sum over Histories -- 10.3.3.1 Phase-Response Properties of Neurons -- 10.3.3.2 Fisher Information and Noise in Brain -- 10.4 Possible Implications -- References -- 11 Noise and Gene Oscillators -- 11.1 Introduction -- 11.2 Synthetic Gene Oscillators -- 11.3 Noise Resistance in Genetic Oscillators -- 11.4 Theory: Time Delayed Genetic Oscillation with Noise -- 11.4.1 Statistical Analysis -- References -- 12 Developmental Noise and Stability -- 12.1 Introduction -- 12.2 Source of Developmental Noise -- 12.2.1 At the Molecular Level -- 12.2.2 At the Developmental Systems Level -- 12.2.3 At the Organismal Level -- 12.3 Mechanisms of Developmental Stability -- References.
13 Noise and Coherence in Meditation -- 13.1 Introduction -- 13.2 Various Issues and Limitations in the Current Meditation Research -- 13.3 Cognitive Process and Oscillatory Rhythm -- 13.4 States of Meditation and Their Characterization -- 13.5 Coherence: Spatial and Temporal -- 13.5.1 Degree of Spatial Coherence -- 13.5.2 Degree of Temporal Coherence -- 13.5.3 Sources of Noise -- 13.5.3.1 Brain Function and Mental Features -- 13.5.4 Role of Noise in Meditation -- 13.6 Future Directions -- References -- 14 Chaos, Stochasticity and Noise -- 14.1 Introduction -- 14.2 Stochastic Hodgkin-Huxley Equations -- 14.2.1 Mathematical Framework of Noiseless Hodgkin-Huxley Equation -- 14.2.2 Langevin Description -- 14.2.3 Noise Term and Spatial Dependence in the Hodgkin-Huxley Model -- 14.3 Evidence of Chaos in Hodgkin-Huxley Model -- References -- 15 Chance, Determinism and Laws of Nature -- 15.1 Introduction -- 15.2 Chance and Randomness -- 15.3 Laws of Nature -- References.
Record Nr. UNINA-9910743342803321
Roy Sisir  
Gateway East, Singapore : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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