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  • * Increasing filter size improves detection at the expense of localization
    14 KB (2,253 words) - 12:21, 9 January 2009
  • ==[[ECE 301 Fall 2007 mboutin Filter Types|Types of Filters]]== {{:ECE 301 Fall 2007 mboutin Filter Types}}
    264 B (30 words) - 13:07, 9 December 2008
  • | align="right" style="padding-right: 1em;" | Monday || 03/30/09 || Filter bank interpretation and efficient computation of STDTFT ||
    6 KB (689 words) - 07:59, 2 August 2010
  • ...ndow shows the network that has been selected from the query field and the filter panel.
    4 KB (713 words) - 16:47, 30 November 2011
  • *<math>\omega_c</math>: Cutoff frequency of a filter (<math>\omega_c > 0</math>). (For instance, lowpass filters are nonzero in
    2 KB (406 words) - 11:08, 12 November 2010
  • ...mum amplitude one, minimum amplitude zero and period P. The ideal low pas filter is a band that goes from -fc to fc with constant amplitude one. Once filte ...but the digital filter is in the frequency domain. How do you apply this filter? Any ideas are helpful. Thanks!
    844 B (152 words) - 18:26, 11 February 2009
  • ...trum of the rect (which is a sinc). This is effectively a coarse low pass filter to remove high frequency aliased replicas. <br> ...c^2</math> in frequency. This can also be thought of as a coarse low pass filter but with a sharper cutoff than zero-order hold. <br>
    906 B (143 words) - 12:40, 4 March 2009
  • Plot of the frequency response of the average filter: Plot of the frequency response of the filter:
    950 B (132 words) - 11:52, 28 April 2009
  • == Filter Design== ...ise.www.ecn.purdue.edu/VISE/ee438L/lab5/pdf/lab5a.pdf First lab on digital filter design]
    8 KB (1,226 words) - 11:40, 1 May 2009
  • ...mboutin_DFT_windowedfilter|Graph of the magnitude of the DFT of a windowed filter]]
    7 KB (1,067 words) - 12:05, 25 June 2010
  • ...e sufficiently close, then the signal can be reconstructed using a lowpass filter. ...ntinuous curve and represent an interpolation formula for an ideal lowpass filter H(jw):
    851 B (151 words) - 11:38, 8 November 2008
  • ...)</math>, we can simply low-pass filter <math>x_p(t)</math> as long as the filter, ...ath>\omega_m < \omega_c < \omega_s - \omega_m </math>. Also, the low-pass filter must have a gain of <math>T</math>. This can be represented graphically as
    3 KB (582 words) - 06:11, 16 September 2013
  • To recover, first we need a filter with amplited T when |W| < Wc.<br><br>
    500 B (101 words) - 16:21, 9 November 2008
  • To recover, first we need a filter with amplited T when |W| < Wc. <math> x_{p}(t) ---->Filter, H(w) -----> x(t)</math>
    1 KB (238 words) - 16:44, 9 November 2008
  • To recover, first we need a filter with amplited T when |W| < Wc. <math> x_{p}(t) ---->Filter, H(w) -----> x(t)</math>
    1 KB (238 words) - 05:31, 16 November 2008
  • *<math>\omega_c</math>: Cutoff frequency of a filter (<math>\omega_c > 0</math>). (For instance, lowpass filters are nonzero in
    1 KB (178 words) - 19:31, 23 November 2008
  • <math>\omega_c </math> Cut off frequency for a filter Pretty much apply a low pass filter to <math>x_p(t)</math>
    2 KB (349 words) - 12:09, 10 November 2008
  • X(t) can be recovered exactly from Xp(t) by using a low pass filter with gain T and cut off frequency greater than Wm but less than Ws - Wm.
    1 KB (274 words) - 06:49, 16 September 2013
  • ...alled the reconstructed signal <math>x_r(t)</math>, we must use a low pass filter with a gain of T, and a frequency in the range of <math>(\omega_m,\omega_s- We can use a transfer function to approximate this filter, and it is:
    3 KB (543 words) - 17:23, 10 November 2008
  • ...can be used to recover the modulated signal being a common one the low pas filter,
    1 KB (207 words) - 17:11, 10 November 2008

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