Digital signal processing (DSP) is the numerical manipulation of continuous time, continuous amplitude sinusoidal functions, usually with the intention of discretizing analog signals. In this talk, we will discuss the importance of the discrete Fourier transform, short time Fourier transform and wavelet transform in DSP. Our focus will be on the time-frequency representations obtained from the short time Fourier transform and wavelet transform. We will find hidden images within audio files which can only be obtained using time-frequency representations of signals.
Digital Signal Processing: Using Math to Turn Music into Pictures