Search results for "Filters" - Rhea

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• Interplay of Filters
  =='''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,before
  3 KB (426 words) - 06:03, 14 October 2009
• Code for the filters
  %%%%%%%%%%%%%%%%%%%%%%%%%%% CODE FOR THE AVERAGE & EDGE DETECTOR FILTERS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
  787 B (108 words) - 06:06, 14 October 2009
• Non-Linear Filters for Image Processing
  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
• Using filters to enhance the view of images
  2 KB (316 words) - 00:15, 30 November 2015
• Digital Filters: An Overview on Design Points and Considerations
  == ''' 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 i
  6 KB (897 words) - 16:44, 7 December 2017

Page text matches

• CNSIPseminars
  :"Designing Perceptually-Based Image Filters in the Modulation Domain"
  5 KB (656 words) - 14:36, 4 May 2011
• ECE 301 Fall 2007 mboutin Filter Types
  [[Category: Filters]] ==Types of Filters==
  462 B (55 words) - 17:27, 23 April 2013
• ECE 301 Fall 2007 mboutin Fourier Series
  ==[[ECE 301 Fall 2007 mboutin Filter Types|Types of Filters]]==
  264 B (30 words) - 13:07, 9 December 2008
• ECE 438 Spring 2009 mboutin Symbols
  ...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
• ECE438 (BoutinFall2009)
  ...438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of CSFT of some basic 2D filters]]
  7 KB (1,067 words) - 12:05, 25 June 2010
• Zachary Curosh - Frequency Response and Difference Equations ECE301Fall2008mboutin
  ...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
• What are all these symbols?! ECE301Fall2008mboutin
  ...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
• HW11 SangMo Je ECE301Fall2008mboutin
  ...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 follo
  3 KB (537 words) - 17:27, 3 December 2008
• Lab1 Old Kiwi
  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 (1,738 words) - 22:44, 7 April 2008
• Exams/Quizzes
  * DT implementation of CT systems/filters
  5 KB (643 words) - 11:55, 6 August 2009
• Final Cheat Sheet
  * [[DT implementation of CT filters]]
  1 KB (118 words) - 01:11, 30 July 2009
• Student summary Filtering
  * 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
• Student summary sampling part1 ECE438F09
  ...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 belo
  8 KB (1,452 words) - 06:49, 16 September 2013
• Application of Upsampling in High-Quality Audio Reconstruction
  The problem with analog low pass filters is that higher the order, the more resistors, capacitors, and op-amps are r
  5 KB (840 words) - 19:08, 22 September 2009
• Interplay of Filters
  =='''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,before
  3 KB (426 words) - 06:03, 14 October 2009
• Code
  %%%%%%%%%%%%%%%%%%%%%%%%%%%% CODE FOR THE AVERAGE & EDGE DETECTOR FILTERS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
  782 B (107 words) - 06:01, 14 October 2009
• Code for the filters
  %%%%%%%%%%%%%%%%%%%%%%%%%%% CODE FOR THE AVERAGE & EDGE DETECTOR FILTERS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
  787 B (108 words) - 06:06, 14 October 2009
• Student summary spectral analysis 2D signalsb
  ...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
• ECE 438 Fall 2009 mboutin plotCSFTofbasicfilters
  =DSFT of some basic filters=
  1 KB (163 words) - 12:50, 26 November 2014
• Non-Linear Filters for Image Processing
  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
• Peer Legacy ECE438
  ...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
• MP3 Basics
  ...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
• Image Processing Recitation
  ...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
• Test Page
  ...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
• AnanyaResearch2009
  ...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
• 2010 Fall IE 590 Wachs
  1 –Image Processing: Morphology, Filters, Color, Shape
  2 KB (279 words) - 10:11, 10 August 2010
• Snikitha ListECE301
  ...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
• My use for the DFT!
  <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
• 2010 Fall ECE 438 Boutin
  *[[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of some basic image filters]]
  9 KB (1,221 words) - 11:00, 22 December 2014
• Lecture20ECE438F10
  ...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
• Lecture24ECE438F10
  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
• Lecture25ECE438F10
  ...peat periodically every <math>2 \pi</math> when considering discrete-time filters.
  2 KB (260 words) - 12:42, 22 October 2010
• ECE438 Week10 Quiz
  ...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
• ECE438 Week10 Quiz Q3sol
  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
• ECE438 Week11 Quiz
  Q4. Given the impulse response, compute the transfer function of filters.
  3 KB (462 words) - 10:42, 11 November 2011
• Lecture38ECE438F10
  *[[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of some basic image filters]]
  808 B (107 words) - 10:56, 29 November 2010
• Vuvuzelas ECE438F10
  ...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
• ECE301 signals systems learning material
  *[[ECE_301_Fall_2007_mboutin_Filter_Types|Types of filters]]
  6 KB (818 words) - 06:12, 16 September 2013
• ECE301inBME
  ...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
• Lecture26ECE438F11
  ...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
• Lecture36ECE438F11
  ...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
• Lecture37ECE438F11
  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
• Lecture38ECE438F11
  *[[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|plot of the filters I discussed in class]]
  1 KB (157 words) - 06:33, 11 September 2013
• Hw8 ECE438F11sln
  Therefore the filter can be separate into two 1-D filters.
  3 KB (355 words) - 13:42, 4 December 2011
• Accelerometer
  ...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
• ECE301 Prof.KrogemeierBonus 2
  '''3.Filters'''
  1 KB (174 words) - 11:34, 11 March 2013
• ECE637 Bouman lectures Image Processing sLecture mhossain
  ** 2-D Filters
  2 KB (246 words) - 07:21, 26 February 2014
• Lab1 OldKiwi
  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
• ECE637 discrete parameter signals and systems S13 mhossain
  ::↳ 2-D Filters
  2 KB (278 words) - 07:26, 26 February 2014
• ECE637 discrete parameter signals and systems discrete transforms S13 mhossain
  ::↳ 2-D Filters
  10 KB (1,726 words) - 07:26, 26 February 2014
• ECE440 Lab1 Typed
  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
• HW6 Solution ECE438F13
  We need a high pass filter that filters our everything below 60 Hz.
  6 KB (1,018 words) - 12:18, 30 September 2013
• ECE438 digital signal processing learning material
  *[[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of some basic image filters]]
  4 KB (471 words) - 19:34, 9 February 2015
• ECE PhD QE CNSIP 2008 Question3
  ...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
• ECE PhD QE CNSIP 2011 Question3
  ...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
• Lecture37ECE438F13
  ...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
• Lecture39ECE438F13
  ...9_mboutin_plotCSFTofbasicfilters|Plot of frequency response of basic image filters]]
  2 KB (240 words) - 07:14, 22 November 2013
• Hw11 ECE438F13sln
  Therefore the filter can be separate into two 1-D filters.
  4 KB (518 words) - 00:11, 11 December 2013
• MotionTracking438
  ...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
• HW4ECE438F14 Soln
  We need a high pass filter that filters out signals below the frequency 60Hz.
  3 KB (564 words) - 06:24, 10 October 2014
• Lecture39ECE438F14
  ...9_mboutin_plotCSFTofbasicfilters|Plot of frequency response of basic image filters]]
  2 KB (246 words) - 12:37, 1 December 2014
• HW11ECE438F14 Soln
  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
• 2015 Spring ECE 201 Peleato
  *Frequency response (filters)
  8 KB (1,126 words) - 11:37, 8 May 2015
• 2015 Fall ECE 438 Boutin Constant Q Transform Robert Schwieterman
  ...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
• HW11ECE438F15 Soln
  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
• Creating Blur Detection
  ...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
• 2017 Fall ECE 438 Boutin
  | [[Digital Filters: An Overview on Design Points and Considerations]]
  3 KB (421 words) - 16:18, 10 December 2017
• An Implementation of Sobel Edge Detection
  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
• BRITA Filter
  ...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
• Use Matlab as Your Photoshop!
  ...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
• Adobe Photoshop
  ...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) - 00:59, 4 December 2017
• Digital Filters: An Overview on Design Points and Considerations
  == ''' 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 i
  6 KB (897 words) - 16:44, 7 December 2017
• Signals, Systems, and Biomedical Engineering
  ...s; design of finite impulse response and infinite impulse response digital filters; processing of random signals. Speech processing; vocal tract models and ch
  12 KB (1,702 words) - 20:48, 9 April 2018
• Use of FFT in MATLAB
  ...he intensity at different frequency, it can be extremely useful when using filters. For example, when receiving a signal from FM radio, it is very hard to det
  3 KB (555 words) - 22:02, 2 December 2018
• QE2011 CS-2 ECE538
  ...ilters, <math>h_0[n]</math> and <math>h_1[n]</math>, and the two synthesis filters, <math>f_0[n]</math> and <math>f_1[n]</math>,form a Quadrature Mirror Filte
  4 KB (738 words) - 15:34, 19 February 2019
• Filtering text on a chalkboard
  ...w pass filter is two-fold. Firstly, it is one of the simpler (and popular) filters to implement at this scale. Secondly, the low-pass filter is versatile enou Traditionally, low pass filters have been used on images taken in space to smoothen out noise from sharp li
  7 KB (1,006 words) - 19:22, 7 April 2019
• Filtering Sound with Adobe Audition
  ...l let you analyze visual Fourier Transforms, intelligently apply frequency filters, and gain a better understanding of some of the many applications of this t Congratulations! You just applied Fourier Transforms and filters to real-world applications! If you want, go ahead and try recording your vo
  6 KB (1,077 words) - 20:29, 7 April 2019
• Ece438f19bhelfrechtbonus
  ...ff frequency of <math>\frac{1}{2T_2}</math> for <math>x_2[n]</math>. These filters ensure that no aliasing occurs during the initial sampling of <math>x(t)</m
  16 KB (2,611 words) - 14:11, 12 November 2019
• Ece438f19glakebonus
  be used to draw conclusions about LTI systems and digital filters. This topic assumes some basic knowledge of the z-transform and signal proc ==Z Transform and Digital Filters==
  6 KB (1,040 words) - 00:57, 2 December 2019
• Ece438f19mvermabonus
  Different filters have different usages: they can be used to smooth images, sharpening images ...n probably is the most widely known edge detection method. The process and filters are shown below:
  4 KB (624 words) - 09:11, 6 December 2019
• Creating your own vowel resonators using tubing
  ...hese could be used in class demonstrations to describe how the vocal tract filters input signals.
  5 KB (849 words) - 02:10, 10 December 2019
• Definition of Nyquist’s Theorem
  ...ses, bandwidth is limited by filters, such as the one in a car radio, that filters out frequencies that are not very close to, say, 104.5 Megahertz. In the im
  4 KB (707 words) - 23:06, 6 December 2020
• Features of Nyquist's Theorem
  ...g can be prevented with a variety of anti-aliasing tools, such as low-pass filters that filter out high frequencies.
  3 KB (444 words) - 23:32, 6 December 2020
• Applications
  ...y techniques have been created to reconstruct images. These reconstruction filters enable the restoration of some data in images. An example of reverse aliasi
  4 KB (610 words) - 00:55, 7 December 2020