Notes โบ ENGR 2341: Signals and Systems Concept
impulse signals
210 words 1 min Modified
Table of Contents
Impulse Signals
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Non-zero signals concentrated around a specific moment in time
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Has an area of 1
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Not a function, but can be approximated with the
Dirac Delta Function
A limiting case of a rectangular pulse function, $\delta_{\Delta}(t)$, as the width $\Delta \rightarrow 0$.
Rectangular Pulse Function
- For $-\Delta \le t \le \Delta$, the rectangular pulse has a value of $\frac{1}{2\Delta}$
- Outside this range, the function is 0
Normalization Property
- Regardless of the choice of $\Delta$, the area of $\delta_{\Delta} = 1$
- This ensures that the height of the pulse increases proportionally as the width becomes narrower
Dirac Delta as a Limit
- $\delta(t)$ is defined as the limit of this rectangular pulse as $\Delta \rightarrow 0$
Sampling Property
- A function multiplied by an impulse scales the function by its value at the time of the impulse
- $f(t)\delta(t-t_{0}) = f(t_{0})\delta(t-t_{0})$
- Basically, you’re getting the value of $f(t)$ specifically only at $t_0$, and 0 everywhere else
Example of Impulse Sampling
Simplify this as much as possible: $x_{2}(t) = e^{-(t-5)}u(t-5)\delta(t-10)$
$$ \begin{align} x_{2}(t) &= e^{-(10-5)}u(10-5)\delta(t-10) \\ &= e^{-5} \cdot 1 \cdot \delta(t-10) \\ &= e^{-5}\delta(t-10) \end{align} $$