Proceedings Paper
Wavelet identification of transients in noisy time series| Format | Member Price | Non-Member Price |
|---|---|---|
| $17.00 | $21.00 |
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
Published in SPIE Proceedings Vol. 2034:
Mathematical Imaging: Wavelet Applications in Signal and Image Processing
Andrew F. Laine, Editor(s)
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)
© SPIE. Terms of Use
