Search results for "Filter" - Rhea

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• Nyquist rate for a sinc function
  ...y that the Fourier transform is a non-zero constant multiple of a low-pass filter with gain 1 and cutoff <math>3 \pi</math> and conclude from there; you woul
  3 KB (431 words) - 10:28, 11 November 2011
• Signal modulation with cosine ECE301S11
  ...'c''</sub>''t'').</span> Then feed the resulting signal through a low pass filter with a gain of 2 and a cutoff frequency of <span class="texhtml">ω_{''c b) Multiply by cos(w_ct) then pass it through a Low Pass Filter with a gain of 2 and a cutoff f of w_c
  2 KB (400 words) - 10:31, 11 November 2011
• HW9 ECE301 Spring2011 Prof Boutin Solutions
  ...ignal can be recovered by filtering the sampled signal using the following filter: ...DT, one must first convert the samples to a pulse-train, and then low-pass filter. -pm </font>
  9 KB (1,462 words) - 07:01, 22 April 2011
• HW10 ECE301 Spring2011 Prof Boutin Solutions
  ...} = 1000π</span> and gain 2. The frequency response of this low pass filter is: Note that the cut-off frequency of the low pass filter can actually be anywhere between <span class="texhtml">ω_''M''</
  12 KB (2,109 words) - 05:58, 22 April 2011
• 2011 Fall ECE 438 Boutin
  **[[Practice_Question_5_ECE438F10|Practice Question 5 (filter design)]] ....m.zip zpgui3.m] A MATLAB GUI showing the effect of poles and zeros during filter design.
  10 KB (1,359 words) - 03:50, 31 August 2013
• ECE438 Lab Quizpool
  *[[ECE438_Week9_Quiz|LTI system and filter design]] <br/>
  900 B (121 words) - 10:39, 11 November 2011
• Lecture Schedule ECE438Fall11 Boutin
  *Week (7)-8: Filtering (Systems defined by Difference equations, Filter Design, DFT view of Filtering) ***Prof. Bouman's lecture notes on digital Filter design: [https://engineering.purdue.edu/~bouman/ece438/lecture/module_1/1.7
  9 KB (1,341 words) - 03:52, 31 August 2013
• Coding for Android on Windows - Image processing - C Code
  =Image processing on an Android phone - Lowpass filter an Image - C++ code= ...ore used to. The filtering itself is not really complicated: We just use a filter in form of a matrix and perform a convolution. As this is not really an iss
  3 KB (486 words) - 11:58, 20 April 2012
• Lecture14ECE438F11
  ...revious lecture, we observed that, under certain circumstances, a low-pass filter could be applied to this upsampling so to obtain the signal
  1 KB (213 words) - 06:24, 11 September 2013
• Lecture22ECE438F11
  ...this by computing the frequency response and the transfer function of that filter. In particular, we noted how the location of the poles and the zeros of the [[Category:Filter]]
  998 B (143 words) - 06:27, 11 September 2013
• MathWorksTest
  **[[Practice_Question_5_ECE438F10|Practice Question 5 (filter design)]]
  9 KB (1,273 words) - 20:52, 15 October 2011
• Lecture23ECE438F11
  ...n the location of the poles and the zeros of the transfer function of this filter and the amplitude of its frequency response. [[Category:Filter]]
  953 B (132 words) - 06:27, 11 September 2013
• Hw6 ECE438F11
  equation (moving average filter) :a. Find the impulse response h[n] for this filter. Is it of finite or infinite duration?
  5 KB (916 words) - 03:56, 31 August 2013
• Lecture25ECE438F11
  Today we discussed the relevance of "filter design" in today's world, including some open problems for which research i [[Category:Filter]]
  1 KB (221 words) - 06:28, 11 September 2013
• Lecture26ECE438F11
  ...e unit impulse response of an ideal filter in order to obtain a causal FIR filter. A MATLAB plot of the example presented in class can be viewed on [[ECE_438
  1 KB (164 words) - 06:30, 11 September 2013
• Homework 7, ECE438, Fall 2011, Yimin Xiao's solution
  ::#low pass filter the repeated part
  7 KB (1,108 words) - 06:02, 23 September 2014
• Audio Signal Processing with Down-sampler and LPF
  A LPF (low-pass-filter) will usually be used before down-sampling to reduce aliasing. In this&nbsp ...f 4, 8, and 16. In this project we are using FIR (finite impulse response) filter.<br>The audio signal we use is part of Waving Flag, the theme song of 2010
  10 KB (1,707 words) - 10:44, 6 May 2012
• Digital signal processing practice problems list
  *Filter design **[[Practice_Question_5_ECE438F10|Practice question on filter design]]
  6 KB (801 words) - 22:04, 19 April 2015
• Lecture35ECE438F11
  ...n]. We then proceed to demonstrate how to use the formula using an average filter and a 6x6 digital image. The issue of the boundary conditions was discussed
  2 KB (301 words) - 06:32, 11 September 2013
• Upsampling and downsampling lab
  ...sample by factor of 5 then down sample by factor 3. To avoid aliasing, the filter was build by MATLAB embedded function "fir1" with order= 20, cut-of frequen
  2 KB (389 words) - 06:37, 25 September 2013
• Lecture36ECE438F11
  ...arate it. We then considered another filter (edge detector). Although that filter is not separable, we were able to write it as a sum of two separable filter
  2 KB (213 words) - 06:32, 11 September 2013
• Hw8 ECE438F11
  Consider the following FIR filter: a) Write a difference equation that can be used to implement this filter.
  2 KB (270 words) - 03:59, 31 August 2013
• Lecture38ECE438F11
  ...other type of filter introduced by Perona and Malik. We observed that this filter is not linear and that it allows one to smooth out an image without blurrin
  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
• Coding for Android on Windows - Image processing - Java Code
  =Image processing on an Android phone - Lowpass filter an Image - Java code= ...roject was to lowpass filter an image on an Android phone using a Gaussian filter. Therefore it should be possible to either take a picture with the integrat
  7 KB (1,278 words) - 11:57, 20 April 2012
• Michael Evans - Professional Statement
  ...tion, signal mixing, encoding and decoding of audio signals, and real-time filter implementation. Additionally, I was involved with the development of a filt
  4 KB (676 words) - 12:21, 9 February 2012
• Class absence discusion PUSH ECE400S12
  ...ng a proof of the visit to a doctor with a date and time on it, so it will filter out such students who use this excuse frequently and know all the details h
  6 KB (1,023 words) - 09:24, 16 March 2012
• Eric Lewis Bonus 2
  ...cy filtering removes noise, but also blurs images as a result. The unsharp filter accentuates the edges of images, in an emboss like feature. The parts of th
  1 KB (196 words) - 17:45, 21 April 2013
• CRSP compustat merged database in WRDS
  so filter out them. /* Filter in daily returns on earning reports dates */
  11 KB (1,577 words) - 08:35, 23 April 2012
• ECE-QE CS5-2011 solusion-2
  3. \text{ Multiply step 2 by the filter } H(\rho) = |\rho| = f_c \left [ rect(\frac{f}{2f_c}) - \Lambda(\frac{f}{f_ 2. \text{ Filter the projections } \rho_{\theta}(r) \text{ with } h(r) \text{, where } H(\rh
  17 KB (2,783 words) - 01:51, 31 March 2015
• Accelerometer
  ...t from probabilistic noise-reducing filters such as the Bayesian or Kalman filter.
  8 KB (1,176 words) - 15:15, 1 May 2016
• Lab 1 Additional Information ECE637 Spring2013 Bouman
  ** Low Pass Filter: Smoothing (less sharp edges or details but reduces some static noise) ** High Pass Filter: Sharping (clear edge and enhance details but also emphasize noise)
  3 KB (555 words) - 08:09, 9 April 2013
• ECE301bonus2
  b) Create Gaussian filter of size 5x5 with mean 0 and standard deviation 3. c) Plot Fourier Transform of filter’s impulse response in 3D.
  4 KB (573 words) - 10:15, 15 May 2013
• ECE302 EC2 Woo
  ...l has probability of {1/10,2/10,4/10,2/10,1/10}. The signal goes through a filter, Z=2X^2+1. Z: output after the filter<br>
  2 KB (299 words) - 18:13, 27 February 2013
• QE637 T Pro2
  filter <math>h(m,n)</math> is a <math>(2N+1)\times(2N+1)</math> filter, and for each location we need 2 multiplies, so in total, we need <math>2(2 ...ated offline, if we consider that <math> a_j b_i </math> are merged in the filter <math> h(m,n)</math>, then will need <math> (2N+1)^2 </math> multiplies to
  4 KB (739 words) - 10:07, 13 September 2013
• ECE 301 Spring 2013 mtgyure Bonus2 Question2
  ''b) Create Gaussian filter of size 5x5 with mean 0 and standard deviation 3.'' ''c) Plot Fourier Transform of filter’s impulse response in 3D.''
  2 KB (348 words) - 10:50, 11 March 2013
• ECE301 Prof.KrogemeierBonus 2
  The upper is the Gaussian filter, while bottom is the unsharp.
  1 KB (174 words) - 11:34, 11 March 2013
• Lab1 OldKiwi
  ...eed a 2D convolution function. So you can take the 2d fft multiply by your filter and invert. However this seems like allot of work, and I have never implime ...hat way. The example file gives you an idea of how to do this for a simple filter. Good luck!
  10 KB (1,756 words) - 08:05, 9 April 2013
• ECE637 tomographic reconstruction convolution back projection S13 mhossain
  ...this process. These artifacts can be reduced by filtering with a high pass filter prior to back-projection. For this reason, the process is also commonly ref # Filter the projections to obtain <math>g_{\theta}(r) = h(r)*p_{\theta}(r)</math>.
  9 KB (1,486 words) - 07:25, 26 February 2014
• ECE637 discrete parameter signals and systems discrete transforms S13 mhossain
  ...function is basically the frequency response of an ideal digital low pass filter. So if you were to build a low pass filter, its impulse response would be a sampled sinc in time as shown in figure 6.
  10 KB (1,726 words) - 07:26, 26 February 2014
• 2013 Fall ECE 438 Boutin
  ....m.zip zpgui3.m] A MATLAB GUI showing the effect of poles and zeros during filter design.
  8 KB (1,096 words) - 06:44, 14 December 2013
• Lecture Schedule ECE438Fall13 Boutin
  *Week (7)-8: Filtering (Systems defined by Difference equations, Filter Design, DFT view of Filtering) ***Prof. Bouman's lecture notes on digital Filter design: [https://engineering.purdue.edu/~bouman/ece438/lecture/module_1/1.7
  9 KB (1,353 words) - 09:04, 11 November 2013
• ECE440 Lab2 discussion
  ...nd last questions in part 2 of this lab, does anybody know they the RLC BP filter isn't used for the two-tone test, or why the '''in-band''' third-order inte ...in frequency) to the input signal. Thus, it would be difficult to design a filter to separate the input frequencies from these in-band distortion terms.
  1 KB (204 words) - 10:09, 15 January 2014
• HW5ECE438F13
  ...gnal in the frequency domain first. (Recall that you just need to low-pass-filter the ideal sampling.) Then invert the Fourier transform to get the reconstru
  2 KB (362 words) - 13:59, 26 September 2013
• Lecture16ECE438F13
  ...(t) was band-limited with <math>f_{max}<\pi /D</math> and apply a low-pass filter with gain D and cut-off <math>\pi/D</math> to <math>x_2[n]</math>.
  2 KB (335 words) - 05:55, 27 September 2013
• ECE440 Lab1 Typed
  1. Use the signal generators and filters in the lab to generate and filter noise and various types of periodic signals. ...rfectly band-limited to 0-10MHz, is passed through a perfectly rectangular filter of bandwidth 18 kHz, gain 3 dB, and center frequency 455 kHz. If the RMS vo
  14 KB (2,228 words) - 12:03, 15 January 2014
• HW6ECE$38F13
  ...r. Be sure to show how you calculated the cutoff frequency for the digital filter. ...is. Be sure to show how you calculated the cutoff frequency of the digital filter.
  3 KB (480 words) - 09:13, 27 September 2013
• HW6 Solution ECE438F13
  We need a high pass filter that filters our everything below 60 Hz. ...equency component. In order to remove the annual cycle, we need a low pass filter.
  6 KB (1,018 words) - 12:18, 30 September 2013
• Lecture23ECE438F13
  ...izing a few important facts about LTI systems, we defined a first filter, "Filter A", which we found had low-pass characteristics.
  2 KB (294 words) - 05:58, 14 October 2013
• Lecture24ECE438F13
  ...ssion on the topic of filtering, we defined another simple filter, called "filter B", and analysed its properties using the concept of frequency response and
  2 KB (300 words) - 05:47, 16 October 2013