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Advances On Nonlinear Dynamics Of Electronic Systems

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  • Дата: 29-06-2019, 19:27
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Название: Advances On Nonlinear Dynamics Of Electronic Systems
Автор: Arturo Buscarino, Luigi Fortuna
Издательство: World Scientific Pub Co Inc
Год: 2019
Страниц: 151
Язык: английский
Формат: pdf (true)
Размер: 12.8 MB

This book comprises the most recent advanced results on nonlinear electronic circuits, and the contents range from networks, synchronization, memristors to several other topics. Both theory and advanced timely results are included. It provides an overview of popular themes in the field of nonlinear dynamics of electronic circuits with contributions from outstanding scientists.

Contents:

Two-Phase Microfluidic Flow Patterns and Micro-Channel Geometry
Unstable Basis Function Multiplexing
Koopman Operators and Linear Chaos
Mimicking Railway Vehicles Hunting Behaviors by Means of Sequence Generators Based on Optimized Sums of Chaotic Standard Equations
Applications of Chaos Theory in Chaotic Cities
Synchronization of Coupled Hindmarsh-Rose Neurons by Time-Delay Using Electronic Circuits
Chaotic Shape-Forming Filter and Corresponding Matched Filter in Wireless Communication
SDE Implementation of Chaos-Based Communications Systems
Stability Analysis of Sparse Binary Neural Networks
Memory Architectures with Cryptographic Features on Board to Support a Secure Control System
Evidence of Multistability in a Multiscroll Generator System
RQA Correlations on Business Cycles: A Comparison Between Real and Simulated Data
Coupled Crystal Oscillator System and Timing Device
Chaotic Behaviors in a System with Stable Equilibrium
Portraying Human Motor Imagery: A MEG Study
Study of the Behavior of a Chaotic Oscillator with Memory Elements
Power Amplification of an Erbium-Doped Fiber Laser Array Using Multistability
Symbolic Representation of Neuronal Dynamics
Spontaneous Otoacoustic Emissions from Higher Order Signal Coupling
A Physics-Driven Human Brain Alternative
Consensus Clustering Approach for Genome-Wide Association Studies
Synchronization of Spike-Trains in a Coupled System of Digital Spiking Neurons

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