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Journal ArticleDOI

Chaos-based communication systems in non-ideal channels

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TLDR
This paper succinctly describes techniques to counter the effects of finite bandwidth, additive noise and delay in the communication channel to make chaos-based communication systems attain lower levels of BER in non-ideal environments.
About
This article is published in Communications in Nonlinear Science and Numerical Simulation.The article was published on 2012-12-01. It has received 50 citations till now. The article focuses on the topics: Synchronization of chaos & Spread spectrum.

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Citations
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Theory and applications of coupled map lattices

邦彦 金子
TL;DR: Coupled map lattices renormalization group, universality and scaling in dynamics of coupled map lattice mean field approximations and Perron-Frobenius equations.
Journal ArticleDOI

Wireless communication with chaos

TL;DR: It is proved that the dynamic description of both the transmitted and the received signals is identical and shown that the capacity of the chaos-based wireless channel is unaffected by the multipath propagation of the physical media.
Journal ArticleDOI

Stabilization of Rössler chaotic dynamical system using fuzzy logic control algorithm

TL;DR: The asymptotic complexity of the proposed fuzzy logic control algorithm (FLCA) is analyzed and proved to be lower in comparison with that of linear matrix inequality-based FLCAs.
Journal ArticleDOI

Complex function projective synchronization of complex chaotic system and its applications in secure communication

TL;DR: To develop secure communication, the paper presents complex function projective synchronization (CFPS) of complex chaotic systems, where the control law is derived to make the complex state vectors asymptotically synchronize up to a desired complex function matrix.
References
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Book

Elements of information theory

TL;DR: The author examines the role of entropy, inequality, and randomness in the design of codes and the construction of codes in the rapidly changing environment.
Book

Discrete-Time Signal Processing

TL;DR: In this paper, the authors provide a thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete time Fourier analysis.
Journal ArticleDOI

Synchronization in chaotic systems

TL;DR: This chapter describes the linking of two chaotic systems with a common signal or signals and highlights that when the signs of the Lyapunov exponents for the subsystems are all negative the systems are synchronized.
Book

Independent Component Analysis

TL;DR: Independent component analysis as mentioned in this paper is a statistical generative model based on sparse coding, which is basically a proper probabilistic formulation of the ideas underpinning sparse coding and can be interpreted as providing a Bayesian prior.
Book

Fundamentals of Wireless Communication

TL;DR: In this paper, the authors propose a multiuser communication architecture for point-to-point wireless networks with additive Gaussian noise detection and estimation in the context of MIMO networks.
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