Analysis of a chaotic signal in a communication channel with the introduction of useful information by the method of parametric modulation

2021 ◽  
Author(s):  
A.S. Mushenko ◽  
A.D. Zolkin
Keyword(s):  
Communication Channel ◽  
Chaotic Signal ◽  
Parametric Modulation

Synchronization of Chaotic Systems and Transmission of Information

1998 ◽  
Vol 08 (04) ◽  
pp. 647-659 ◽  
Author(s):  
Martin Hasler
Keyword(s):  
Communication Channel ◽  
Chaotic Systems ◽  
Chaotic Signal ◽  
Information Signal ◽  
Chaotic Signals ◽  
Transmission Of Information ◽  
Two Systems ◽  
Chaotic Carrier

An overview over the methods currently under investigation for the transmission of information hidden in a chaotic signal is given. First, the notion of synchronization is discussed, then the coupling of two systems to achieve synchronization is presented and then four methods to mix the information signal with a chaotic carrier are described. Finally, the problem to send several information bearing chaotic signals through the same communication channel is posed as a challenge.

PARAMETER IDENTIFICATION OF CHAOTIC SYSTEMS USING WAVELETS AND NEURAL NETWORKS

2004 ◽  
Vol 14 (04) ◽  
pp. 1467-1476 ◽  
Author(s):  
YOUSEF AL-ASSAF ◽  
WAJDI M. AHMAD
Keyword(s):  
Wavelet Transforms ◽  
Secure Communication ◽  
Control Parameter ◽  
Chaotic Systems ◽  
Chaotic Signal ◽  
Potential Utility ◽  
Feed Forward Neural Network ◽  
Useful Signal ◽  
Parametric Modulation ◽  
Electronic Oscillator

This paper addresses the problem of reconstructing a slowly-varying information-bearing signal from a parametrically modulated, nonstationary dynamical signal. A chaotic electronic oscillator model characterized by one control parameter and a double-scroll-like attractor is used throughout the study. Wavelet transforms are used to extract features of the chaotic signal resulting from parametric modulation of the control parameter by the useful signal. The vector of feature coefficients is fed into a feed-forward neural network that recovers the embedded information-bearing signal. The performance of the developed method is cross-validated through reconstruction of randomly-generated control parameter patterns. This method is applied to the reconstruction of speech signals, thus demonstrating its potential utility for secure communication applications. Our results are validated via numerical simulations.

A NEW IMPROVED SCHEME OF CHAOTIC MASKING SECURE COMMUNICATION BASED ON LORENZ SYSTEM

2012 ◽  
Vol 22 (05) ◽  
pp. 1250125 ◽  
Author(s):  
JING PAN ◽  
QUN DING ◽  
BAOXIANG DU
Keyword(s):  
Secure Communication ◽  
Communication Channel ◽  
Lorenz System ◽  
Chaotic Signal ◽  
Synchronization Errors ◽  
Frequency Domains ◽  
Transmitted Signal ◽  
Parameter Values ◽  
Time And Frequency Domains

This paper reports an improved chaotic masking scheme based on Lorenz system for secure communication. This new scheme overcomes the notable disadvantages of Lorenz system's signal by essentially changing some properties of the chaotic signal in both time and frequency domains. Such changes make the masking signal and the transmitted signal in the communication channel more noise-like, with smaller synchronization errors and well-improved statistics and correlation. This scheme improves the security of transmitted signals in the channel, making it better for chaotic masking secure communication. Experimental simulations are performed with different parameter values, and comparisons between the new and the original schemes are presented and analyzed.

CHAOTIC SYNCHRONIZATION: INFORMATION VIEWPOINT

2000 ◽  
Vol 10 (04) ◽  
pp. 749-761 ◽  
Author(s):  
ALEXANDER S. DMITRIEV ◽  
GENNADY A. KASSIAN ◽  
ALEXANDER D. KHILINSKY
Keyword(s):  
Carrying Capacity ◽  
Communication Channel ◽  
Main Idea ◽  
Chaotic Signal ◽  
Chaotic Synchronization ◽  
Physical Effect ◽  
The Other ◽  
Chaotic Process ◽  
Information Approach

The phenomenon of chaotic synchronization is investigated from an information viewpoint. The synchronization of a "receiver" of chaos with a chaotic "source" is discussed as an ability of the receiver to recover a copy of the chaotic signal generated by the source. The main idea of the paper is to show that in terms of the information approach the condition for the chaotic synchronization is not due to the physical effect of one system on the other, but the transmission of necessary information about the chaotic process and, hence, the information carrying capacity of the "communication channel" between the source and the receiver.

scholarly journals Установление хаотического синхронного отклика при наличии фазового фильтра в канале связи

2018 ◽  
Vol 44 (4) ◽  
pp. 86
Author(s):  
Л.В. Кузьмин
Keyword(s):  
Communication Channel ◽  
Multipath Propagation ◽  
Chaotic Signal ◽  
Slave System ◽  
Phase Filter

AbstractThe problem of establishment of a chaotic synchronous response between two chaotic self-sustained oscillator systems under the conditions of phase filtration of the chaotic signal transferred via a channel from the master to slave system is considered. The characteristics of the phase filter are equivalent to those of a filter present in a communication channel with multipath propagation.

RECONSTRUCTION OF INFORMATION-BEARING CHAOTIC SIGNALS IN ADDITIVE WHITE GAUSSIAN NOISE: PERFORMANCE ANALYSIS AND EVALUATION

2001 ◽  
Vol 11 (10) ◽  
pp. 2631-2635 ◽  
Author(s):  
INÉS P. MARIÑO ◽  
CELSO GREBOGI ◽  
EPAMINONDAS ROSA
Keyword(s):  
Gaussian Noise ◽  
Communication Systems ◽  
Communication Channel ◽  
Additive White Gaussian Noise ◽  
Chaotic Signal ◽  
White Gaussian Noise ◽  
General Situation ◽  
Analysis And Evaluation ◽  
Chaotic Signals ◽  
The Ideal

Chaotic signals can be used as carriers of information in communication systems since they own some redundancy that can be exploited to reconstruct missing or distorted parts of a waveform that has been transmitted through a communication channel. In this paper, we extend our previous results for the ideal noise free channel [Mariño et al., 1999] to a more general situation where additive white Gaussian noise corrupts the information-bearing chaotic signal.

Ultimate resolution and information in electron microscopy

1991 ◽  
Vol 49 ◽  
pp. 496-497
Author(s):  
D. Van Dyck
Keyword(s):  
Electron Microscopy ◽  
Electron Microscope ◽  
Transfer Function ◽  
Information Transfer ◽  
Communication Channel ◽  
Structural Information ◽  
Information Rate ◽  
Noise Power ◽  
Signal Power ◽  
Imaging Device

An (electron) microscope can be considered as a communication channel that transfers structural information between an object and an observer. In electron microscopy this information is carried by electrons. According to the theory of Shannon the maximal information rate (or capacity) of a communication channel is given by C = B log2 (1 + S/N) bits/sec., where B is the band width, and S and N the average signal power, respectively noise power at the output. We will now apply to study the information transfer in an electron microscope. For simplicity we will assume the object and the image to be onedimensional (the results can straightforwardly be generalized). An imaging device can be characterized by its transfer function, which describes the magnitude with which a spatial frequency g is transferred through the device, n is the noise. Usually, the resolution of the instrument ᑭ is defined from the cut-off 1/ᑭ beyond which no spadal information is transferred.

Method for measuring distortions of a speech signal during its transmission over a communication channel to a biometric identification system

2020 ◽  
pp. 65-72
Author(s):  
V. V. Savchenko ◽  
A. V. Savchenko
Keyword(s):  
Speech Signal ◽  
Communication Channel ◽  
Speaker Identification ◽  
A Priori ◽  
Small Samples ◽  
Practical Implementation ◽  
Identification System ◽  
New Information ◽  
Discrimination Criterion ◽  
A Priori Uncertainty

This paper is devoted to the presence of distortions in a speech signal transmitted over a communication channel to a biometric system during voice-based remote identification. We propose to preliminary correct the frequency spectrum of the received signal based on the pre-distortion principle. Taking into account a priori uncertainty, a new information indicator of speech signal distortions and a method for measuring it in conditions of small samples of observations are proposed. An example of fast practical implementation of the method based on a parametric spectral analysis algorithm is considered. Experimental results of our approach are provided for three different versions of communication channel. It is shown that the usage of the proposed method makes it possible to transform the initially distorted speech signal into compliance on the registered voice template by using acceptable information discrimination criterion. It is demonstrated that our approach may be used in existing biometric systems and technologies of speaker identification.

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