Wavelet identification of transients in noisy time series

Rene A. Carmona

doi:10.1117/12.162079

1 November 1993 Wavelet identification of transients in noisy time series

Rene A. Carmona

Proceedings Volume 2034, Mathematical Imaging: Wavelet Applications in Signal and Image Processing; (1993) https://doi.org/10.1117/12.162079
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

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.

Citation Download Citation

Rene A. Carmona "Wavelet identification of transients in noisy time series", Proc. SPIE 2034, Mathematical Imaging: Wavelet Applications in Signal and Image Processing, (1 November 1993); https://doi.org/10.1117/12.162079

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