Many mathematical techniques have been developed for signal analysis. The best-known
-- technique is the Fourier transform, which receives a signal and outputs the frequency spec-
-- trum. If we add a window function to the Fourier transform we can output a spectrogram,
-- which is a plot of frequency versus time for the signal. The nal technique, the continuous
-- wavelet transform, simultaneously translates and dilates a window function while applying
-- Fourier transforms in order to produce a scalogram - a plot similar to a spectrogram that has the frequency axis plotted logarithmically. This produces a plot of perceived pitch rather
-- than frequency. For my project, I investigate each of these techniques and produce MATLAB
-- code that will generate each of them for given signals
