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Proceedings Paper

Wavelet identification of transients in noisy time series
Author(s): Rene A. Carmona
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Paper Abstract

The detection of transients in noisy time series is an important part of modern signal analysis because of the importance of its civil and military applications. We present a new denoising procedure, the output of which gives a very reasonable guess for the component of the input signal which was buried in noise.

Paper Details

Date Published: 1 November 1993
PDF: 9 pages
Proc. SPIE 2034, Mathematical Imaging: Wavelet Applications in Signal and Image Processing, (1 November 1993); doi: 10.1117/12.162079
Show Author Affiliations
Rene A. Carmona, Univ. of California/Irvine (United States)


Published in SPIE Proceedings Vol. 2034:
Mathematical Imaging: Wavelet Applications in Signal and Image Processing
Andrew F. Laine, Editor(s)

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