This Topic introduces the concept of a sampled data system, which aims
to measure and store values from a continuous-time signal to produce a
discrete-time representation. The video emphasis that perfect sampling
is possible for band-limited signals, even though it may appear that
signal values in the time-domain are discarded. This introductory video
reminds the viewer of the Nyquist sampling rate, but then considers
whether this value is reasonable in practice. The Topic highlights the
importance of the anti-aliasing filters and the reconstruction filter,
for ensuring that the original signal can be recreated as faithfully as
possible. The full sampled data system is explained in detail, and an
example of aliasing presented through a MATLAB demonstration.
ELEE08021 Sensor Networks and Data Analysis 2 Lectures -- School of Engineering, University of Edinburgh. Copyright James R. Hopgood and University of Edinburgh, Scotland, United Kingdom (UK). 2020.
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