Wavelets seem to be very useful for image processing. Assuming that I'm only ever going to study signals of time, i.e. 1D signals, should I still take a course in wavelet analysis? Are they applicable to 1D signals?
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1Very much so! I have used them for de-noising applications. (Here is one example http://dsp.stackexchange.com/questions/1302/peak-detection-approach/1324#1324) Although I do not have the wavelet processing toolbox in MATLAB so I have to write them up myself. :-/ – Spacey Feb 24 '12 at 03:16
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They absolutely are applicable. They are used for signal compression, denoising, feature extraction, filter-bank signal processing and many more things. In fact, a course of wavelet analysis will (should) stress one-dimensional analysis, which 2D is an extension of.
Phonon
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Can you give any examples how wavelet analysis could help decision-making? Assume you have 1D ECG signal. How can you benefit from wavelet analysis? – Léo Léopold Hertz 준영 May 18 '16 at 18:21