on Wavelet Transforms
January 2nd, 2008
In the October 2007 issue of Physics Today beginning on page 78 there is an article on Wavelets by Ivan Selesnick, son of my friend Stephen Selesnick. He must be a very proud father.
I read the article. I wish I understood what I read. What does sparse mean?
Here is my picture of the story: A fourier transform tells us to what extant the signal is periodic; it displays the frequencies embedded in the signal. Signal polution ‘has no frequency’ - white noise - yielding small amplitude at all frequencies. Thus it can, in the transform, be distinguished from what we are looking for - periodicity. A spectrum shows us what frequencies are present.
But signals may have distinguishing features other than frequency for which we want to search. The idea is to create a transform to display the distinguishing feature we wish to favor and to blunt what we wish to devalue. Wavelets are the transforms that do this: enhance what we favor, blunt what we devalue.
Is this a valid overview? Have I got it right?