Create the page "Convolution" on this wiki! See also the search results found.
- convolution is a mathematical operator which takes two functions f and g and produces a ...can be used to find the output of an LTI system. The output is simply the convolution of the input and the system's impulse response.821 B (137 words) - 16:22, 20 March 2008
- 2D Convolution Algorithm --peter.s.mc.kinnis.1, Tue, 22 Jan 2008 16:44:33 -0500 reply ...ng if this is how we are suposed to impliment, or if I should just write a convolution in the space domain?10 KB (1,738 words) - 22:44, 7 April 2008
- ...ask it. One of its uses is in helping develop and understand the idea of convolution.2 KB (305 words) - 11:17, 24 March 2008
- This is the same as convolution: At each successive time step, the convolution iterates on the results10 KB (1,728 words) - 08:55, 17 January 2013
- ##[[DT LTI systems: The convolution sum_Old Kiwi]] ##[[CT LTI systems: The convolution integral_Old Kiwi]]4 KB (531 words) - 11:32, 25 July 2008
- #<math>y(t)=x(t)*h(t)=h(t)*x(t)</math> commutative property of convolution for continuous time ...h>x(t)*(h_1(t)*h_2(t))=x(t)*(h_2(t)*h_1(t))</math> commutative property of convolution for continuous time1 KB (238 words) - 16:53, 25 June 2008
- ...utput y(t). Since the input and impulse response are given, we simply use convolution on x(t) and h(t) to find the system's output.956 B (170 words) - 16:23, 3 July 2008
- ...utput y(t). Since the input and impulse response are given, we simply use convolution on x(t) and h(t) to find the system's output.954 B (175 words) - 16:56, 30 June 2008
- ...rdue.edu/~bouman/ece438/lecture/module_1/1.2_systems/1.2.2_convolution.pdf Convolution, pp. 87-92, 97-110] ...bouman/ece438/lecture/module_1/1.6_dft/1.6.5_periodic_convol.pdf Circular Convolution]9 KB (1,237 words) - 09:29, 5 October 2009
- Leakage is caused by the convolution by the DTFT of a window function, which is a sinc. This causes copies of t4 KB (695 words) - 06:46, 23 September 2011
- ...his context. The star symbol in electrical engineering is usually denoting convolution. </span>2 KB (408 words) - 17:20, 25 February 2015
- ...the star symbol to denote multiplication here. It is usually reserved for convolution in electrical engineering.</span>3 KB (432 words) - 17:55, 25 February 2015
- * DT and CT LTI system input/output relationship by convolution5 KB (643 words) - 11:55, 6 August 2009
- 7. Convolution implementation Write a Matlab function that per- forms convolution of two discrete-time input signals. Note that the3 KB (451 words) - 00:38, 2 July 2009
- Matlab Examples - Review of Discrete Convolution using Matlab == http://www.youtube.com/watch?v=bPAKMS6_FWg&eurl=http://fre420 B (68 words) - 11:20, 29 June 2009
- %% Performs convolution on inputted vectors x & y. Then displays the752 B (131 words) - 08:56, 1 July 2009
- ...do not take into account the variations in starting time of the resulting convolution.258 B (39 words) - 13:07, 1 July 2009
- X=[x,zeros(1,n)]; %padding with zeros will allow for convolution to be673 B (123 words) - 11:18, 1 July 2009
- function [ y ] = convolution( h, x ) %CONVOLUTION computes the convolution for two DT LTI signals;717 B (116 words) - 11:25, 1 July 2009
- %CONVOLUTION computes the convolution for two DT LTI signals % Algebraically, convolution is the same operation as multiplying the1 KB (166 words) - 11:30, 1 July 2009
- %This Program computes the convolution of two inputs x(t) and h(t)with the %The program below will compute the convolution, y(t), based on the users1 KB (205 words) - 14:56, 1 July 2009
- %Convolution problem HW 3.7 CONV Convolution and polynomial multiplication.1 KB (204 words) - 22:28, 1 July 2009
- function y=convolution(x,h);275 B (59 words) - 22:35, 1 July 2009
- % Convolution Program <br>568 B (114 words) - 00:51, 2 July 2009
- * [[Convolution and LTI systems]] == Convolution ==1 KB (152 words) - 04:06, 23 July 2009
- == CT Convolution: Definition ==184 B (38 words) - 10:44, 30 January 2011
- == DT Convolution: Definition==165 B (34 words) - 10:48, 30 January 2011
- [[DT Convolution - Mark Scherschel II (mschersc)]] [[CT Convolution - Nick Gentry (nkgentry)]]95 B (13 words) - 18:10, 22 July 2009
- =Definition of DT convolution=106 B (22 words) - 10:51, 30 January 2011
- =Definition of CT convolution=152 B (28 words) - 11:01, 30 January 2011
- =Convolution of a rectangular impulse train with itself (continuous-time)=971 B (55 words) - 10:46, 30 January 2011
- =Example of DT convolution=732 B (136 words) - 10:49, 30 January 2011
- * CT Convolution: F(x_1(t)*x_2(t)) = X_1(\omega)X_2(\omega) \!1 KB (178 words) - 04:40, 23 July 2009
- DT Fourier Transform Convolution <math> x[n]*y[n] = X(e^{jw})Y(e^{jw}) \! </math>537 B (85 words) - 07:16, 14 November 2011
- *[http://www.jhu.edu/signals/convolve/index.html The Joy of Convolution!]6 KB (785 words) - 06:02, 1 March 2010
- ...or the rest of your college career and even into the workforce. Understand convolution (applies to ECE301, ECE438, ECE440), bode plots (ECE382), and Laplace trans *Be sure to get the full story on the dirac function, convolution, bode plot approximations, and linearity. Don't rely on memorization. -Mike7 KB (1,297 words) - 11:41, 10 December 2011
- Definition of Convolution:1 KB (264 words) - 05:57, 11 June 2013
- ...= \|K\|_1\|f\|_p = \|f\|_p</math> where the inequality is a result of the convolution theorem. Proof. Using Young's Convolution Theorem with <math>r = \infty</math> we find:4 KB (657 words) - 05:53, 11 June 2013
- Applying the definitions of Fourier transform and convolution, followed by Fubini (since <math>f, g \in L(\mathbb{R})</math>) we have:1 KB (206 words) - 05:52, 11 June 2013
- but since the convolution is define everywhere and <math>f\ast f = 0\Rightarrow f = 0</math> everywhe994 B (157 words) - 05:56, 11 June 2013
- * A knowledge of impulse response functions and convolution for linear systems.7 KB (1,153 words) - 14:06, 24 August 2009
- ** <span style="color:green">Careful here: the symbol <math>~_*</math> is for convolution, not multiplication.</span>--[[User:Mboutin|Mboutin]] 20:18, 1 September 202 KB (375 words) - 04:11, 3 September 2009
- * The results of the frequency domain multiplication with the filter (CONVOLUTION IN THE TIME DOMAIN) gives us the desired signal without noise.7 KB (1,251 words) - 11:54, 21 September 2012
- Convolution:2 KB (252 words) - 06:55, 16 September 2013
- ...ransform of the comb is also an impulse train in the frequency domain, the convolution of X(f) with P(f) simply makes copies of X(f) at each impulse with the magn8 KB (1,452 words) - 06:49, 16 September 2013
- Properties of convolution allow2 KB (436 words) - 19:51, 22 September 2009
- Convolution: Convolution in Time domain corresponds to multiplication in Frequency domain.1 KB (218 words) - 07:34, 25 August 2010
- | align="right" style="padding-right: 1em;" | convolution property || <math>x[n]*y[n] \!</math> || ||<math> X(\omega)Y(\omega) \!</ma2 KB (351 words) - 12:52, 22 October 2010
- | align="right" style="padding-right: 1em;" | convolution property8 KB (1,130 words) - 11:45, 24 August 2016
- *Also, a close look at the above integral, shows that it is simply a convolution of the mother wavelet and the signal.10 KB (1,646 words) - 11:26, 18 March 2013
