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- =='''INTERPLAY OF IMAGES AND FILTERS''' == ...did images look so bright? Until Professor Boutin introduced the topic of "Filters" in her ece 438 class,i had never thought of images the way i do now,before3 KB (426 words) - 06:03, 14 October 2009
- %%%%%%%%%%%%%%%%%%%%%%%%%%% CODE FOR THE AVERAGE & EDGE DETECTOR FILTERS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%787 B (108 words) - 06:06, 14 October 2009
- This page will explore the use of some non-linear filters for face-enhancement, such as the Perona-Malik filter that preserve sharpne235 B (33 words) - 22:21, 6 December 2009
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2 KB (316 words) - 00:15, 30 November 2015
- == ''' Digital Filters: An Introduction ''' == ...filters over analog ones is that digital filters can satisfy criteria for filters far better than analog ones. This slecture hopes to share characteristics i6 KB (897 words) - 16:44, 7 December 2017
Page text matches
- :"Designing Perceptually-Based Image Filters in the Modulation Domain"5 KB (656 words) - 14:36, 4 May 2011
- [[Category: Filters]] ==Types of Filters==462 B (55 words) - 17:27, 23 April 2013
- ==[[ECE 301 Fall 2007 mboutin Filter Types|Types of Filters]]==264 B (30 words) - 13:07, 9 December 2008
- ...frequency of a filter (<math>\omega_c > 0</math>). (For instance, lowpass filters are nonzero in the range <math>\omega \in [-\omega_c, \omega_c]</math>.)2 KB (406 words) - 11:08, 12 November 2010
- ...438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of CSFT of some basic 2D filters]]7 KB (1,067 words) - 12:05, 25 June 2010
- ...of signals and systems. They are of special importance when implementing filters. These equations are of the form:2 KB (401 words) - 17:16, 21 April 2013
- ...frequency of a filter (<math>\omega_c > 0</math>). (For instance, lowpass filters are nonzero in the range <math>\omega \in [-\omega_c, \omega_c]</math>.)1 KB (178 words) - 19:31, 23 November 2008
- ...continuous time filters (represented in Laplace space) into discrete time filters (represented in z space), and vice versa. To do this, you can use the follo3 KB (537 words) - 17:27, 3 December 2008
- 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 f10 KB (1,738 words) - 22:44, 7 April 2008
- * DT implementation of CT systems/filters5 KB (643 words) - 11:55, 6 August 2009
- * [[DT implementation of CT filters]]1 KB (118 words) - 01:11, 30 July 2009
- * Of course, filters are not ideal in the real world, and instead of a constant A in the pass-ba ==Filters in MATLAB==7 KB (1,251 words) - 11:54, 21 September 2012
- ...d signal must be quanitized before discretization. This is because digital filters are limited in what numbers they can represent. This depends on the number ...periodic with respect to <math>2\pi</math>. This is because discrete time filters are periodic with respect to <math>2\pi</math>. The reason can be seen belo8 KB (1,452 words) - 06:49, 16 September 2013
- The problem with analog low pass filters is that higher the order, the more resistors, capacitors, and op-amps are r5 KB (840 words) - 19:08, 22 September 2009
- =='''INTERPLAY OF IMAGES AND FILTERS''' == ...did images look so bright? Until Professor Boutin introduced the topic of "Filters" in her ece 438 class,i had never thought of images the way i do now,before3 KB (426 words) - 06:03, 14 October 2009
- %%%%%%%%%%%%%%%%%%%%%%%%%%%% CODE FOR THE AVERAGE & EDGE DETECTOR FILTERS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%782 B (107 words) - 06:01, 14 October 2009
- %%%%%%%%%%%%%%%%%%%%%%%%%%% CODE FOR THE AVERAGE & EDGE DETECTOR FILTERS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%787 B (108 words) - 06:06, 14 October 2009
- ...FFT of Lena looks like.</u></big><br><br> We will look at some simple 3X3 filters that are then convolved with the original image to create a filtered image. <big><u>Let's look at a few other filters briefly:</u></big>8 KB (1,397 words) - 11:23, 18 March 2013
- =DSFT of some basic filters=1 KB (163 words) - 12:50, 26 November 2014
- This page will explore the use of some non-linear filters for face-enhancement, such as the Perona-Malik filter that preserve sharpne235 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 MATLAB17 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-band6 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, Shape2 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 p3 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> , for <math>i \in \{ 013 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 off867 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 students1 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 with3 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]]. 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. This work requires filters for the biological signals as well systems to interpret these signals. &nbs17 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 windo1 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 Filters2 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 f10 KB (1,756 words) - 08:05, 9 April 2013
- ::↳ 2-D Filters2 KB (278 words) - 07:26, 26 February 2014
- ::↳ 2-D Filters10 KB (1,726 words) - 07:26, 26 February 2014
