Unit 5: Sampled Data Systems#
We set the scene for this chapter with a useful definition from Wikipedia
Sampling (Signal Processing)#
In signal processing, sampling is the reduction of a continuous-time signal to a discrete-time signal. A common example is the conversion of a sound wave (a continuous signal) to a sequence of samples (a discrete-time signal).
A sample is a value or set of values at a point in time and/or space.
A sampler is a subsystem or operation that extracts samples from a continuous signal.
A theoretical ideal sampler produces samples equivalent to the instantaneous value of the continuous signal at the desired points.
– Sampling (Signal Processing), Wikipedia.
In this chapter we will cover Sampling Theory, the Z-Transform, the inverse Z-Transform and Models of Digital Systems.
Contents#
In this section of the course we will cover: