Abstract
A procedure is described for the WFFT (wavelet fast Fourier transform) analysis of a real millivolt signal that has been collected with a moderately fast data acquisition system, 40 million samples per second (msps). The output signal is noisy, and the frequency components are resolved by using a wavelet analysis followed by an FFT of selected parts of the wavelet output. After processing, the signal is then reconstructed (from selected components) resulting in a waveform that is almost identical to the original but with reduced noise, thus simulating signal averaging
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