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 language | English |
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Pages | 79-82 |
Number of pages | 4 |
Publication status | Published - 1994 |
Event | Proceedings of the 1994 6th IEEE Digital Signal Processing Workshop - Yosemite, CA, USA Duration: 1994 Oct 2 → 1994 Oct 5 |
Other
Other | Proceedings of the 1994 6th IEEE Digital Signal Processing Workshop |
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City | Yosemite, CA, USA |
Period | 94/10/2 → 94/10/5 |
All Science Journal Classification (ASJC) codes
- Signal Processing
- Electrical and Electronic Engineering