Preprocessing for noise reduction of chaotic signals

Chungyong Lee, Douglas B. Williams

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

Existing algorithms for filtering noise from contaminated chaotic signals require relatively high signal-to-noise ratios(SNRs). A preprocessing method is proposed for initial noise reduction in severe SNRs. This method uses all the difference vectors between the points in a small neighborhood of the point of interest to estimate more accurately the tangent surface described by Cawley and Hsu. This preprocessing method is applicable to noisy data from any nonlinear dynamical system, because it does not require knowledge of the system dynamics.

Original languageEnglish
Pages79-82
Number of pages4
Publication statusPublished - 1994 Dec 1
EventProceedings of the 1994 6th IEEE Digital Signal Processing Workshop - Yosemite, CA, USA
Duration: 1994 Oct 21994 Oct 5

Other

OtherProceedings of the 1994 6th IEEE Digital Signal Processing Workshop
CityYosemite, CA, USA
Period94/10/294/10/5

Fingerprint

Noise abatement
Signal to noise ratio
Nonlinear dynamical systems
Acoustic noise
Dynamical systems

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Lee, C., & Williams, D. B. (1994). Preprocessing for noise reduction of chaotic signals. 79-82. Paper presented at Proceedings of the 1994 6th IEEE Digital Signal Processing Workshop, Yosemite, CA, USA, .
Lee, Chungyong ; Williams, Douglas B. / Preprocessing for noise reduction of chaotic signals. Paper presented at Proceedings of the 1994 6th IEEE Digital Signal Processing Workshop, Yosemite, CA, USA, .4 p.
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Lee, C & Williams, DB 1994, 'Preprocessing for noise reduction of chaotic signals' Paper presented at Proceedings of the 1994 6th IEEE Digital Signal Processing Workshop, Yosemite, CA, USA, 94/10/2 - 94/10/5, pp. 79-82.

Preprocessing for noise reduction of chaotic signals. / Lee, Chungyong; Williams, Douglas B.

1994. 79-82 Paper presented at Proceedings of the 1994 6th IEEE Digital Signal Processing Workshop, Yosemite, CA, USA, .

Research output: Contribution to conferencePaper

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N2 - Existing algorithms for filtering noise from contaminated chaotic signals require relatively high signal-to-noise ratios(SNRs). A preprocessing method is proposed for initial noise reduction in severe SNRs. This method uses all the difference vectors between the points in a small neighborhood of the point of interest to estimate more accurately the tangent surface described by Cawley and Hsu. This preprocessing method is applicable to noisy data from any nonlinear dynamical system, because it does not require knowledge of the system dynamics.

AB - Existing algorithms for filtering noise from contaminated chaotic signals require relatively high signal-to-noise ratios(SNRs). A preprocessing method is proposed for initial noise reduction in severe SNRs. This method uses all the difference vectors between the points in a small neighborhood of the point of interest to estimate more accurately the tangent surface described by Cawley and Hsu. This preprocessing method is applicable to noisy data from any nonlinear dynamical system, because it does not require knowledge of the system dynamics.

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Lee C, Williams DB. Preprocessing for noise reduction of chaotic signals. 1994. Paper presented at Proceedings of the 1994 6th IEEE Digital Signal Processing Workshop, Yosemite, CA, USA, .