• 1. Use the signal generators and filters in the lab to generate and filter noise and various types of periodic signa
    14 KB (2,228 words) - 12:03, 15 January 2014
  • We need a high pass filter that filters our everything below 60 Hz.
    6 KB (1,018 words) - 12:18, 30 September 2013
  • *[[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of some basic image filters]]
    4 KB (471 words) - 19:34, 9 February 2015
  • ...pling, or comparison with a threshold in your design, precisely define all filters, sampling times, and threshold values. ...pling, or comparison with a threshold in your design, precisely define all filters, sampling times, and threshold values.
    15 KB (2,507 words) - 01:05, 5 November 2013
  • ...pling, or comparison with a threshold in your design, precisely define all filters, sampling times, and threshold values. ...pling, or comparison with a threshold in your design, precisely define all filters, sampling times, and threshold values.
    17 KB (2,710 words) - 10:07, 5 November 2013
  • ...ilter is not separable, we were able to write it as a sum of two separable filters. ...E_438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of CSFT of basic image filters]].
    3 KB (367 words) - 07:27, 15 November 2013
  • ...9_mboutin_plotCSFTofbasicfilters|Plot of frequency response of basic image filters]]
    2 KB (240 words) - 07:14, 22 November 2013
  • Therefore the filter can be separate into two 1-D filters.
    4 KB (518 words) - 00:11, 11 December 2013
  • ...tering at this point, so let's apply a filter to the centroids matrix that filters out any sets of centroids that do not appear in at least 5 consecutive fram
    11 KB (1,762 words) - 09:42, 13 February 2014
  • We need a high pass filter that filters out signals below the frequency 60Hz.
    3 KB (564 words) - 06:24, 10 October 2014
  • ...9_mboutin_plotCSFTofbasicfilters|Plot of frequency response of basic image filters]]
    2 KB (246 words) - 12:37, 1 December 2014
  • Therefore the filter can be decomposed to two 1-D filters. Therefore the filter can be separated into two 1-D filters.
    10 KB (1,181 words) - 16:07, 2 December 2014
  • *Frequency response (filters)
    8 KB (1,126 words) - 11:37, 8 May 2015
  • ...By changing the number of samples used (window length) we can develop such filters that<br /> the Quality index is constant, Constant Q Transform!
    4 KB (655 words) - 23:26, 22 November 2015
  • Therefore the filter can be decomposed to two 1-D filters. Therefore the filter can be separated into two 1-D filters.
    10 KB (1,157 words) - 22:56, 2 December 2015
  • ...e, a process called Gaussian smoothing. Laplacian filters being derivative filters, are sensitive to noise and thus this process comes in handy, although it r
    2 KB (258 words) - 04:20, 28 November 2016
  • | [[Digital Filters: An Overview on Design Points and Considerations]]
    3 KB (421 words) - 16:18, 10 December 2017
  • The image below is when the two filters results are added together to create an accurate representation of all of t
    7 KB (1,184 words) - 20:31, 23 April 2017
  • ...nd cutoff values to achieve the exact filter response desired. Very simple filters, such as the HPF and LPF discussed in 438 are critical to achieve a particu When using four or more filters on my modern computer, the computing experience begins to get umbearable as
    6 KB (1,048 words) - 16:58, 24 April 2017
  • ...ted to only adjusting your picture brightness and contrast, and apply some filters to it before you upload it to your Instagram. NO! It’s far more than that
    5 KB (799 words) - 20:12, 9 December 2017

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Alumni Liaison

Followed her dream after having raised her family.

Ruth Enoch, PhD Mathematics