Presentation | 2006-12-14 Chaotic Analysis : Chaotic Spectrum Analysis with Applications to Chaotic Communications and Chaotic Time Series Analysis Ken UMENO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose "Chaotic Analysis" which is to expand given signals in terms of basis functions derived from complete orthonormal functions associated with Lebesgue spetrum of underlying chaotic dynamical system. Although, chaotic analysis can be naturally considered as Fourier analysis, the following difference would be important: the basis functions of chaotic analysis can be nowhere differentiable functions, while the basis functions of Fourier analysis is differentiable functions. We have many applications |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Chaos / Chebyshev Polynomial / Fourier Analysis / Spread Spectrum / CDMA |
Paper # | NLP2006-104 |
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Committee | NLP |
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Conference Date | 2006/12/7(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Nonlinear Problems (NLP) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Chaotic Analysis : Chaotic Spectrum Analysis with Applications to Chaotic Communications and Chaotic Time Series Analysis |
Sub Title (in English) | |
Keyword(1) | Chaos |
Keyword(2) | Chebyshev Polynomial |
Keyword(3) | Fourier Analysis |
Keyword(4) | Spread Spectrum |
Keyword(5) | CDMA |
1st Author's Name | Ken UMENO |
1st Author's Affiliation | National Institute of Information and Communications Technology:Chaos Ware Inc.() |
Date | 2006-12-14 |
Paper # | NLP2006-104 |
Volume (vol) | vol.106 |
Number (no) | 414 |
Page | pp.pp.- |
#Pages | 6 |
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