Signal separation, i.e., the elimination or suppression of extraneous components from measured signals, is an essential module of modern signal analysis. We report the development of two novel signal separation methods—(i) the neighborhood method (NM) and (ii) a modi6ed wavelet method (MWM)—that seem to be aptly suited for signals acquired from machining process sensors, i.e., for chaotic signa...

Chaotic signals are non-periodic, random-like and bounded signals that are generated in a deterministic manner using chaotic mapping techniques and exhibits sensitive dependence on initial conditions. Even though a small difference is introduced between the initial values, the two chaotic signals separate rapidly from each other after a short time period. Using these mapping techniques various ...

Accurate and efficient analysis of biomedical signals can be facilitated by proper identification based on their dominant dynamic characteristics (deterministic, chaotic or random). Specific analysis techniques exist to study the dynamics of each of these three categories of signals. However, comprehensive and yet adequately simple screening tools to appropriately classify an unknown incoming b...

This article studies a vital issue in wireless communications, which is the transmission of audio signals over wireless networks. It presents a novel interleaver scheme for protection against error bursts and reduction the packet loss of the audio signals. The proposed technique in the article is the chaotic interleaver; it is based on chaotic Baker map. It is used as a randomizing data tool to...

Applications of Non-linear Methods and Neural Networks in the analysis of chaotic signals are compared in the paper. Results of time series analysis by non-linear methods are illustrated by computations of Lyapunov exponents and correlation dimension. Abilities of Neural networks are demonstrated in reconstruction of chaotic attractors, in generation of chaos and in the classification and model...

This paper solves the problem of regulating the output of the Arneodo chaotic system (1981), which is one of the paradigms of chaotic dynamical systems. Explicitly, using the state feedback control laws, the output of the Arneodo chaotic system is regulated so as to track constant reference signals as well as to track periodic reference signals. The control laws are derived using the regulator ...

The real issues of communicating over radio channels with continuous time chaotic signals are addressed. Synchronized and nonsynchronized methods are assessed. The modeling of radio channels (including multipath and Doppler) is reviewed, and then the effect on chaotic signals is investigated. The bandwidth efficiency of chaotic communication systems is discussed, and compared to conventional me...

Chaotic signals generated by iterating nonlinear difference equations may be useful models for many natural phenomena. In this paper we propose a family of chaotic models for signal processing applications. The chaotic signals generated by this family of first order difference equations have autocorrelations identical to stochastic first-order autoregressive (AR) processes. After considering th...

This Letter reports experimental results on the three-wave interactions of backward volume spin waves in a magnetic film and the excitation of chaotic waves through such interactions in a magnetic film-based active feedback ring. The three-wave interactions manifest themselves in the power saturation responses of spin waves, and the chaotic excitation manifests itself in chaotic waveforms and b...

There exists a great number of work related to chaotic systems investigated by many researchers, especially about Lorenz chaotic system. If the order of differentiation of variables are fractional, the systems are called fractional chaotic systems. In this work a webbased interface is designed for fractional composition of five different chaotic systems. The interface takes initial and fraction...