Foundations: The breadth and depth of DSP; statistics, probability and noise; ADC and DAC; DSP software. Fundamentals: linear systems; convolution; properties of convolution; the discrete fourier transform; applications of the DFT; fourier transform properties; continuous signal processing. Digital filters: introduction to digital filters; moving average filters; windowed-sinc filters; FFT covolution; recursive filters; chebyshev filters; filter comparison... Applications: Audio processing; image formation and display; linear image processing; special imaging techniques; neural networks; data compression… Complex techniques: complex numbers; the complex fourier transform; the laplace transform; the z-transform.