3 edition of Chaotic, fractal, and nonlinear signal processing found in the catalog.
Chaotic, fractal, and nonlinear signal processing
|Statement||editor, Richard A. Katz.|
|Series||AIP conference proceedings -- 375., AIP conference proceedings -- no. 375.|
|Contributions||Katz, Richard A. 1950-, American Institute of Physics.|
|The Physical Object|
|Pagination||xxi, 847 p. :|
|Number of Pages||847|
|LC Control Number||96085356|
“Chaos theory studies the behavior of dynamical systems that are highly sensitive to initial conditions—a response popularly referred to as the butterfly effect. of the application of nonlinear theory to manufacturing processes may be found in the author's edited book, Dynamics and Chaos in Manufacturing Processes, also published by Wiley. Since the publication of Chaotic Vibrations there have been significant ad-vances in signal processing codes to determine fractal dimensions and Lyapunov exponents.
NOLTA publishes original, peer-reviewed papers that embrace the entire field of nonlinear science including: Nonlinear Theory in Science and Engineering-Bifurcation Theory-Chaos Theory-Fractal Theory-Fuzzy and Nonlinearity-Game Theory and Nonlinearity-Integrable Systems-Neural Networks and Nonlinearity -Control of Chaos-Errors in Signal. Stephen Strogatz Nonlinear Dynamics and Chaos; Online SOOC ; Edward Ott Chaos in Dynamical Systems; If you know nothing about nonlinear dynamics, then Strogatz is the best place to start. If you want to jump straight into chaos, then go with Edward Ott's book. I recently discovered the online SOOC--just started, but it seems very.
Methodology/Principal Findings. To facilitate joint chaos and fractal analysis of biosignals, we present an adaptive algorithm, which: (1) can readily remove nonstationarities from the signal, (2) can more effectively reduce noise in the signals than linear filters, wavelet denoising, and chaos-based noise reduction techniques; (3) can readily decompose a multiscale biosignal into a Cited by: Biomedical / Electrical Engineering Nonlinear Biomedical Signal Processing Volume II: Dynamic Analysis and Modeling A volume in the IEEE Press Series on Biomedical Engineering Metin Akay, Series Editor Featuring current contributions by experts in signal processing and biomedical engineering, this book introduces the concepts, recent advances, and implementations of nonlinear dynamic analysis.
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This book presents up-to-date research results on chaotic signal processing, including the application of nonlinear dynamics to radar target recognition, an exactly solvable chaos approach for communications, a chaotic approach for reconfigurable computing, system identification using chaos, design of a high resolution LADAR system based on chaos, and the use of chaos in Cited by: 7.
Chaotic Fractal and Nonlinear Signal Processing: Conference Proceedings (AIP Conference Proceedings (Numbered)) Hardcover – August 1, by Richard Katz (Author) › Visit Amazon's Richard Katz Page.
Find all the books, read about the author, and more. Author: Richard Katz. This option allows users to search by Publication, Volume and Page Selecting this option will search the current publication in context. Selecting this option will search all publications across the Scitation platform Selecting this option will search all publications for the Publisher/Society in contextCited by: Get this from a library.
Chaotic, fractal, and nonlinear signal processing: Mystic, CT, July[Richard A Katz; American Institute of Physics.;]. Chaotic, fractal, and nonlinear signal processing: Mystic, CT, July[Richard A Katz; American Institute of Physics.;] -- AnnotationThe conference, organized by the Office of Naval Research, Naval Undersea Warfare Center, focused on methods leading toward the solution of practical problems in engineering and the.
Since the publication of Francis Moon's Chaotic Vibrations innew discoveries in nonlinear dynamics have been made. Scientists and engineers have been particularly intrigued by the applications of these new ideas in chaotic dynamics and fractals to electrical, mechanical, as well as other physical systems.
Retaining its unique emphasis on the physical nature of chaos, the latest edition. Chaos and Time-Series Analysis J. Sprott A web Chaotic supplement to the book by the above title.
This page contains supplementary materials, computer software, color figures, animations, errata, and links to web resources for the text Chaos and Time-Series Analysis (Oxford University Press, ). It is organized according to the chapters in the book.
ski Signal and Image Analysis Using Chaos Theory and Fractal Geometry 4 alternative definition uses the concept of self-similarity – a fractal is an object made of parts similar to the whole. The notion of self-similarity is the basic property of fractal Size: KB.
medicine. In the past few years fractal analysis techniques have gained increasing attention in signal and image processing, especially in medical sciences, e.g. in pathology, neuropsychiatry, cardiology. This article intends to describe fractal techniques and its applications.
We concentrate on applications of chaos theory and fractalFile Size: KB. dioxide in the atmosphere. And it is a policy. that recognizes that many things can contribute.
to a community's vulnerability to extreme. weather events, including changing demographics. and shifts in the nation's wealth : Carl Wunsch. Ah, fun question Let's start with Chaos theory.
The main insight behind chaos theory is that even simple deterministic systems can sometimes produce completely unpredictable results.
This happens when a deterministic system has sensitivity to i. A TECHNIQUES IN NONLINEAR SIGNAL PROCESSING. In this paper we will limit the scope of signal processing only to spectrum analysis.
For linear signal, Fourier transform is used to compute the autocorrelation function and hence the power spectrum. For nonlinear signal, Fourier series are not applicable and other time series representations are necessary.
For chaotic signals, which are fractal in nature, we look for time series with fractal properties. Fractal geometry offers a new approach to describing the structure of different irregular objects, fractal design principles occurring in a very large number of phenomena from physics, chemistry, cosmology, biological structures, art.
Fractal Analysis is a method used to study surface properties of : Wlodzimierz Klonowski. The actual EMG signal is a nonlinear coupling of a large number of motion units between time and space and is a nonlinear, nonstationary signal with the basic characteristics of the chaotic signal.
The nonlinear dynamic analysis method is used to analyze the EMG signal, and it expands the analytical idea of EMG signal processing. This analysis clarifies the relationship to stochastic signal models as well. 1 Introduction Chaotic signal processing is an emerging discipline  which tries to use results from the theory of chaotic systems in the domain of signal : Gernot Kubin.
Chaotic Signals in Digital Communications combines fundamental background knowledge with state-of-the-art methods for using chaotic signals and systems in digital communications.
The book builds a bridge between theoretical works and practical implementation to help researchers attain consistent performance in realistic environments. Abstract: Fractal geometry is a powerful tool for nonlinear signal processing. It has quickly developed recently.
Geological process is complicated and a lot of geological phenomena or their signals have non-linear features, which can be described by fractal geometry. Power spectral method is used to calculate aeromagnetic signal fractal dimension.
The only modern treatment of signal processing with chaos and random fractals unified, this is an essential book for researchers and graduate students in electrical engineering, computer science, bioengineering, and many other t: Chapter 1 Introduction (pages 1–14): Chapter 2 Overview of Fractal and Chaos Theories (pages 15–24).
Presents recent advances in chaotic systems through an overview of new systems and new proprieties Readership Graduate students and researches in the fields of nonlinear systems, chaos theory, control theory, telecommunications and Signal processing, applied mathematics, physics.
From reviews of the previous edition:‘ a stimulating selection of topics that could be taught a la carte in postgraduate courses. The book is given unity by a preoccupation with scaling arguments, but covers almost all aspects of the subject (dimensions of strange attractors, transitions to chaos, thermodynamic formalism, scattering quantum chaos and so on Cited by:.
This paper introduces a new method to exploit chaotic attractors of nonlinear dynamics. The method decreases both the correlation and the noise of samples while preserves chaotic characteristics of samples in real time applications.
The fractal prediction method is used to compressive sensing method in order to concentrate the sparse data on a trajectory. The proposed method can be Cited by: 3.We explore nonlinear signal processing methods inspired by dynamical systems and fractal theory in order to analyze and characterize speech sounds.
A speech signal is at first embedded in a multidimensional phase-space and further employed for the estimation of measurements related to the fractal : PitsikalisVassilis, MaragosPetros.The book starts with an introduction to speech processing and fractal geometry, setting the scene for the heart of the book where fractal techniques are described in detail with numerous applications and examples, and concluding with a chapter summing up the advantages and potential of these new techniques over conventional processing methods.