7. Wavelets
There is a discipline in the field of digital signal processing called wavelets. As we’ll explain here, wavelet transforms are similar to Fourier transforms except that with wavelets, we can find both the frequency and the time of interesting signal characteristics. Wavelet processing is used extensively in signal and image processing, medicine, finance, radar, sonar, geology, and many other varied fields. Wavelets are usually presented in mathematical formulae, but can actually be understood in terms of simple comparisons with the signal data we are analyzing.
To provide some background, we first look at the fast Fourier transform (FFT). That transform can be thought of as a series of comparisons with your data, which for now we ...
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