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 $$x(t)=e^t$$
  • 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:
      $$E=\frac{1}{3}A^2\,\Delta t$$