Introduction to digital signal processing part 1:

Digital signal processing (DSP) is largely concerned with the application of Fourier and z-transform techniques to a wide variety of scientific and engineering problems. Since it involves a transformation of sampled data into the discrete frequency domain, the methods find use in both signal analysis and signal processing. Although DSP is very much a technique of the late 20th century, it is based on Nyquist’s sampling theorem, which dates back to 1928. Although DSP techniques are highly mathematical, this new six-part course will be based on worked-out examples and experiments. For these, only a PC with soundcard and CD-ROM drive are necessary.