Difference between revisions of "ECE 280/Concept List/F23"
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== Lecture 1 - 8/28== | == Lecture 1 - 8/28== | ||
− | * Class logistics and various resources on [canvas.duke.edu Canvas] | + | * Class logistics and various resources on [https://canvas.duke.edu Canvas] |
* Definition of signals and systems from OW | * Definition of signals and systems from OW | ||
* Systems will often be represented with block diagrams. System operations for linear, time-invariant (more on that later) systems may be characterized in the frequency domain using transfer functions. | * Systems will often be represented with block diagrams. System operations for linear, time-invariant (more on that later) systems may be characterized in the frequency domain using transfer functions. |
Revision as of 20:59, 28 August 2023
Lecture 1 - 8/28
- Class logistics and various resources on Canvas
- Definition of signals and systems from OW
- Systems will often be represented with block diagrams. System operations for linear, time-invariant (more on that later) systems may be characterized in the frequency domain using transfer functions.
- Signal classifications
- Dimensionality ($$x(t)$$, $$g(x, y)$$, etc)
- Continuous versus discrete
- Analog versus digital and/or quantized
- Periodic
- Generally $$x(t)=x(t+kT)$$ for all integers k (i.e. $$x(t)=x(t+kT), k\in \mathbb{Z}$$). The period $$T$$ (sometimes called the fundamental period $$T_0$$) is the smallest value for which this relation is true
- A periodic signal can be defined as an infinite sum of shifted versions of one period of the signal: $$x(t)=\sum_{n=-\infty}^{\infty}g(t\pm nT)$$ where $$g(t)$$ is only possibly nonzero within one particular period of the signal and 0 outside of that period.
- Energy, power, or neither
- Energy signals have a finite amount of energy: $$E_{\infty}=\int_{-\infty}^{\infty}|x(\tau)|^2\,d\tau<\infty$$
- Examples: Bounded finite duration signals; exponential decay
- Power signals have an infinite amount of energy but a finite average power over all time: $$P_{\infty}=\lim_{T\rightarrow\infty}\frac{1}{T}\int_{-T/2}^{T/2}|x(\tau)|^2\,d\tau=\lim_{T\rightarrow\infty}\frac{1}{2T}\int_{-T}^{T}|x(\tau)|^2\,d\tau<\infty$$ and $$E_{\infty}=\infty$$
- Examples: Bounded infinite duration signals, including periodic signals
- For periodic signals, only need one period (that is, remove the limit and use whatever period definition you want): $$P_{\infty}=\frac{1}{T}\int_{T}|x(\tau)|^2\,d\tau$$
- If both the energy and the overall average power are infinite, the signal is neither an energy signal nor a power signal.
- Examples: Certain unbounded signals such as $$x(t)=e^t$$
- Energy signals have a finite amount of energy: $$E_{\infty}=\int_{-\infty}^{\infty}|x(\tau)|^2\,d\tau<\infty$$
- Useful math shortcut
- For a trapezoidal pulse
$$x(t)=\begin{cases}mt+b, &0<t\leq\Delta t\\0,&\mathrm{otherwise}\end{cases}$$ where$$x(0)=b=H_1,~x(\Delta(t))=b+m\,\Delta t=H_2$$ the energy is:$$E=\frac{(b+m\,\Delta t)^3-b^3}{3}=\frac{H_1^2+H_1H_2+H_2^2}{3}\Delta t$$ - For a rectangular pulse where $$H_1=H_2=A$$, this yields:
$$E=A^2\,\Delta t$$ - For a triangle pulse where $$H_1=0$$ and $$H_2=A$$, this yields:
$$E=\frac{1}{3}A^2\,\Delta t$$
- For a trapezoidal pulse