• This page will explore the use of some non-linear filters for face-enhancement, such as the Perona-Malik filter that preserve sharpne
    235 B (33 words) - 22:21, 6 December 2009
  • ...of things to create a digital sound, modification of images and designing filters,to name a few.Lectures are little difficult to understand,but if one pays a ...al applications. For example we would learn the math behind digital image filters in class, then in lab we would apply them to real digital images in MATLAB
    17 KB (3,004 words) - 08:11, 15 December 2011
  • ...ets of a fixed number of samples. These frames are sent through a bank of filters which divide the original frequency spectrum of the signal into 32 sub-band
    6 KB (1,003 words) - 14:33, 11 December 2009
  • ...nderstanding of boundary conditions, and examples of linear and non-linear filters. Examples of Image Filters:
    5 KB (811 words) - 16:19, 19 December 2009
  • ...k that I did, incorporated the understanding of average and edge detecting filters which I got to know in details in ECE 438.
    2 KB (296 words) - 12:59, 16 April 2010
  • ...k that I did, incorporated the understanding of average and edge detecting filters which I got to know in details in ECE 438.<br><br>
    2 KB (299 words) - 14:54, 16 April 2010
  • 1 –Image Processing: Morphology, Filters, Color, Shape
    2 KB (279 words) - 10:11, 10 August 2010
  • ...g of continuous-time signals. Discrete-time nonlinear systems: median-type filters, threshold decomposition. System design examples such as the compact disc p
    3 KB (394 words) - 07:08, 4 May 2010
  • <br> It's a pretty cool filter!!!And pretty effective too: a lot of filters have too many side rings that cause a distortion in the signal when the sig <br> We then created a whole set of low pass filters with <math> \omega = \frac{i }{N}2\pi </math> , &nbsp; for <math>i \in \{ 0
    13 KB (2,348 words) - 13:25, 2 December 2011
  • *[[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of some basic image filters]]
    9 KB (1,221 words) - 11:00, 22 December 2014
  • ...filer with band-pass characteristics (Filter B). The behavior of these two filters will be further studied when we return from Fall Break. Enjoy your time off
    867 B (122 words) - 16:21, 8 October 2010
  • Today in the lecture, we continued talking about filters and filter design using the transfer function. It seems like many students
    1 KB (174 words) - 03:53, 21 October 2010
  • ...peat periodically every <math>2 \pi</math> when considering discrete-time filters.
    2 KB (260 words) - 12:42, 22 October 2010
  • ...ive outputs of these two systems as the inputs to a pair of length two FIR filters with impulse response, g1[n] and g2[n] respectively, as shown in the diagra That is, determine length-2 FIR filters g1[n] and g2[n] so that output is the input delayed by one (for any input).
    3 KB (479 words) - 10:42, 11 November 2011
  • a. Note that systems g1 and g2 are Length-2 FIR filters which are of the form –
    4 KB (643 words) - 04:31, 1 November 2010
  • Q4. Given the impulse response, compute the transfer function of filters.
    3 KB (462 words) - 10:42, 11 November 2011
  • *[[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of some basic image filters]]
    808 B (107 words) - 10:56, 29 November 2010
  • ...from Vuvuzelas, we need to implement a couple of high frequency band-stop filters. The audio signal will go through the filters connected in series and the output will be a much better audio signal with
    3 KB (409 words) - 08:53, 11 November 2013
  • *[[ECE_301_Fall_2007_mboutin_Filter_Types|Types of filters]]
    6 KB (818 words) - 06:12, 16 September 2013
  • ...CE 301 Bouton Notes|sampling and conversion between CT/DT signals]]. &nbsp;Filters are also used to sort the main trend of the signal from the noise (common i ...on the changes and only stimulate when necessary. &nbsp;This work requires filters for the biological signals as well systems to interpret these signals. &nbs
    17 KB (2,368 words) - 10:53, 6 May 2012
  • ...approximation of an ideal filter, we moved on to another way of designing filters in today's lecture. More specifically, we saw how one could shift and windo
    1 KB (164 words) - 06:30, 11 September 2013
  • ...ilter is not separable, we were able to write it as a sum of two separable filters.
    2 KB (213 words) - 06:32, 11 September 2013
  • Today we studied more filters. In particular, we saw how to sharpen using an unsharp mark. *[[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|plot of the filters I discussed in class]]
    1 KB (163 words) - 06:32, 11 September 2013
  • *[[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|plot of the filters I discussed in class]]
    1 KB (157 words) - 06:33, 11 September 2013
  • Therefore the filter can be separate into two 1-D filters.
    3 KB (355 words) - 13:42, 4 December 2011
  • ...inter-recalibration can further benefit from probabilistic noise-reducing filters such as the Bayesian or Kalman filter.
    8 KB (1,176 words) - 15:15, 1 May 2016
  • '''3.Filters'''
    1 KB (174 words) - 11:34, 11 March 2013
  • ** 2-D Filters
    2 KB (246 words) - 07:21, 26 February 2014
  • I was just wondering how people are implimenting the filters. It seems that you need a 2D convolution function. So you can take the 2d f
    10 KB (1,756 words) - 08:05, 9 April 2013
  • ::↳ 2-D Filters
    2 KB (278 words) - 07:26, 26 February 2014
  • ::↳ 2-D Filters
    2 KB (209 words) - 18:26, 29 July 2013
  • ::↳ 2-D Filters
    10 KB (1,726 words) - 07:26, 26 February 2014
  • 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

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Alumni Liaison

has a message for current ECE438 students.

Sean Hu, ECE PhD 2009