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The wavelet transformation (opposed to the furier transform) give you a good localization in both frequency and time. The difference between the short time ( or window) fourier trasform and wavelet it that wavelet uses "windows" of different sizes and not only one window like the short time furier. It is also more numerically efficient then furier.
i had my project using thedicrete wavelet transform and these r the best link i ever came across..njoy!! **broken link removed** **broken link removed**
Hi
If your field of interest is electromagnetics,this is a nice reference below.But Wavelets are used in
Digital Signal Processing much more and there are a lot of books about it in Signal Processing.
h**p://www.amazon.com/exec/obidos/tg/detail/-/047141901X
I have a short explanation for EE who know Fourier Theory and want to know Wavelet.
In Fourier, we know any signal is combined from infinite sum of sine and cosine at different amplitue and frequency.
In waveletm instead of sine and cosine, It is something call mother wavelet that have the wavelet properties. It means each signal can have it own basis wavelet function.
So, in theory.. you have a signal. search through its data and find the best mother wavelet. the keep the coefficients (compare to amplitue&harmonics of fourier)
That's why wavelet compression is better. (you choose the best function, fourier must be sine/cosine)
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