Sampling converts continuous-time signals so you can use them like discrete-time signals. Learn about Shannon's sampling theorem, Nyquist rate, interpolation, aliasing and sampling interval and frequency.

Signals, Systems and Signal Processing gives an introduction to the concepts, mathematics, principles and techniques of signal processing in linear, time-invariant (LTI) systems. Through everyday examples, the course explains methods of analysis for both continuous-time and discrete-time signals and systems, presents sampling and gives an elementary introduction to filter design.

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