Fast continuous wavelet transform based on B-splines

Maria Arrate Munoz Barrutia; Raphael Ertle; Michael A. Unser

doi:10.1117/12.449707

5 December 2001 Fast continuous wavelet transform based on B-splines

Maria Arrate Munoz Barrutia, Raphael Ertle, Michael A. Unser

Proceedings Volume 4478, Wavelets: Applications in Signal and Image Processing IX; (2001) https://doi.org/10.1117/12.449707
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

Abstract

The Continuous Wavelet Transform (CWT) is an effective way to analyze nonstationary signals and to localize and characterize singularities. Fast algorithms have already been developed to compute the CWT at integer time points and dyadic or integer scales. We propose here a new method that is based on a B-spline expansion of both the signal and the analysis wavelet and that allows the CWT computation at arbitrary scales. Its complexity is O(N), where N represents the size of the input signal; in other words, the cost is independent of the scale factor. Moreover, the algorithm lends itself well to a parallel implementation.

Citation Download Citation

Maria Arrate Munoz Barrutia, Raphael Ertle, and Michael A. Unser "Fast continuous wavelet transform based on B-splines", Proc. SPIE 4478, Wavelets: Applications in Signal and Image Processing IX, (5 December 2001); https://doi.org/10.1117/12.449707

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