(New page: So many symbols, so little time... Here's a quick lookup table for our commonly-used symbols! *<math>\omega_s</math>: Sampling frequency; equal to <math>\frac{2\pi}{T}</math> *<math>\omega...)
 
 
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So many symbols, so little time... Here's a quick lookup table for our commonly-used symbols!
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=List of Symbols=
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So many symbols, so little time... Here's a quick lookup table for our commonly-used symbols in [[ECE]], especially [[ECE301]] and [[ECE438]]!  
 
*<math>\omega_s</math>: Sampling frequency; equal to <math>\frac{2\pi}{T}</math>
 
*<math>\omega_s</math>: Sampling frequency; equal to <math>\frac{2\pi}{T}</math>
 
*<math>\omega_m</math>: Maximum frequency in a band-limited signal (<math> = max(\{|w|\ :\ w \neq 0\})</math>
 
*<math>\omega_m</math>: Maximum frequency in a band-limited signal (<math> = max(\{|w|\ :\ w \neq 0\})</math>
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*<math>s</math>: A complex number -- often expressed as a sum of it's parts, <math>a+j\omega</math>, where <math>a, \omega \in \mathbb{R}</math>
 
*<math>s</math>: A complex number -- often expressed as a sum of it's parts, <math>a+j\omega</math>, where <math>a, \omega \in \mathbb{R}</math>
 
*<math>X(s)</math>: The Laplace Transform of <math>x(t)</math>.
 
*<math>X(s)</math>: The Laplace Transform of <math>x(t)</math>.
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The above symbols are brought to you with thanks to Brian Thomas
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<h3>Signal Metrics</h3>
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<br/>
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<ul style="list-style:none;">
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  <li><strong>Signal Energy</strong>
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    <ul style="list-style:none;">
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      <li>
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        <p><math>E_x = \int_{-\infty}^{\infty} |x(t)|^2\,dt</math> for ct (continuous time)</p>
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        <p><math>E_x = \sum_{n=-\infty}^{\infty} |x(n)|^2</math> for dt (discrete time)</p>
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      </li>
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    </ul>
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  </li>
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  <li><strong>Signal Power</strong>
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    <ul style="list-style:none;">
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      <li>
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        <p><math>P_x = \lim_{T \Rightarrow \infty}\frac{1}{2T}\int_{-T}^{T} |x(t)|^2\,dt</math> for ct (continuous time)</p>
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        <p><math>P_x = \lim_{N \Rightarrow \infty}\sum_{n=-N}^{N} |x(n)|^2</math> for dt (discrete time)</p>
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        <p>note: for periodic signals <br/>
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        <math>P_x = \frac{1}{N}\sum_{n=0}^{N-1}|x(n)|^2</math>
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        </p>
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      </li>
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    </ul>
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  </li>
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  <li><strong>Signal RMS (root-mean-square)</strong>
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    <ul style="list-style:none;">
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      <li>
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      <math>X_{rms} = \sqrt{P_x}</math>
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      </li>
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    </ul>
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  </li>
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  <li><strong>Signal Magnitude</strong>
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    <ul style="list-style:none;">
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      <li>
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        <p><math>m_x = max|x(t)|</math>, for CT</p>
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        <p><math>m_x = max|x(n)|</math>, for DT</p>
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        <p> if <math>m_x < \infty</math>, we say signal is bounded</p>
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      </li>
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    </ul>
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  </li>
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----
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[[ECE|Back to ECE]]
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[[ECE301|Back to ECE 301]]
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[[ECE438|Back to ECE 438]]

Latest revision as of 10:08, 12 November 2010

List of Symbols

So many symbols, so little time... Here's a quick lookup table for our commonly-used symbols in ECE, especially ECE301 and ECE438!

  • $ \omega_s $: Sampling frequency; equal to $ \frac{2\pi}{T} $
  • $ \omega_m $: Maximum frequency in a band-limited signal ($ = max(\{|w|\ :\ w \neq 0\}) $
  • $ \omega_c $: Cutoff frequency of a filter ($ \omega_c > 0 $). (For instance, lowpass filters are nonzero in the range $ \omega \in [-\omega_c, \omega_c] $.)
  • $ T $: Sampling period; equal to $ \frac{2\pi}{\omega_s} $
  • NR, or "Nyquest Rate": $ =2\omega_m $. If $ \omega_s > NR = 2\omega_m $, then the band-limited signal can be uniquely reconstructed from the sampled signal.
  • $ p(t) $: "Impulse train" -- equivalent to $ \sum_{n=-\infty}^{\infty} \delta(t-nT) $
  • $ s $: A complex number -- often expressed as a sum of it's parts, $ a+j\omega $, where $ a, \omega \in \mathbb{R} $
  • $ X(s) $: The Laplace Transform of $ x(t) $.

The above symbols are brought to you with thanks to Brian Thomas

Signal Metrics


  • Signal Energy
    • $ E_x = \int_{-\infty}^{\infty} |x(t)|^2\,dt $ for ct (continuous time)

      $ E_x = \sum_{n=-\infty}^{\infty} |x(n)|^2 $ for dt (discrete time)

  • Signal Power
    • $ P_x = \lim_{T \Rightarrow \infty}\frac{1}{2T}\int_{-T}^{T} |x(t)|^2\,dt $ for ct (continuous time)

      $ P_x = \lim_{N \Rightarrow \infty}\sum_{n=-N}^{N} |x(n)|^2 $ for dt (discrete time)

      note: for periodic signals
      $ P_x = \frac{1}{N}\sum_{n=0}^{N-1}|x(n)|^2 $

  • Signal RMS (root-mean-square)
    • $ X_{rms} = \sqrt{P_x} $
  • Signal Magnitude
    • $ m_x = max|x(t)| $, for CT

      $ m_x = max|x(n)| $, for DT

      if $ m_x < \infty $, we say signal is bounded


  • Back to ECE

    Back to ECE 301

    Back to ECE 438

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Abstract algebra continues the conceptual developments of linear algebra, on an even grander scale.

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