This Topic starts this Chapter on the theoretical glue that is needed to
fully understand Nyquist sampling theory, that follows in the next
Chapter. Sampling theory requires the understanding of the Dirac delta
impulse function. This Topic introduces this impulse function by first
considering the unit step function. The application of the step signal
for representing causal functions is first presented. The gradient of
the step function is then considered, and used to motivate the
development of the impulse function. The relationship between the step
and impulse functions is explained.
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). 2021.
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