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- Express each of the following complex numbers in polar form, and plot them in the complex plane, indicating the magnitude and angle of each numbe2 KB (247 words) - 07:09, 5 January 2009
- ...ches the highest k, then it starts counting down. This means that when you plot the aks, they will not be in the right order. The shiftfft function correct5 KB (834 words) - 17:26, 23 April 2013
- ...ls, and see what the reconstructed wave looks like using a zero order hold plot. Try to find the Nyquist rate and sample both below and above it to see wha3 KB (591 words) - 17:24, 23 April 2013
- :end plot(t,f)808 B (131 words) - 13:04, 18 December 2008
- [[Category: Plot]] plot(x,y,z)1 KB (248 words) - 13:08, 18 December 2008
- : <code>Plot(Y)</code> Plots vector Y (useful to visualize an audio signal). Plotting at725 B (116 words) - 13:10, 18 December 2008
- ...ever directly said that we need the plots in the homework (it just says to plot so-and-so and then observe/comment), is it implied that the plots be attach965 B (153 words) - 08:30, 13 April 2009
- Plot of the frequency response of the average filter: Plot of the frequency response of the filter:950 B (132 words) - 11:52, 28 April 2009
- * [[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of CSFT of some basic 2D filters]]7 KB (1,067 words) - 12:05, 25 June 2010
- plot( [3*cos(t),2*sin(t), t=0..2*Pi] ); p1 := plot( [3*cosh(t),2*sinh(t), t=-2..2] , [-3*cosh(t),2*sinh(t), t=-2..2], color=re540 B (89 words) - 06:30, 12 December 2008
- [[Image:Lec2Plot1_ECE301Fall2008mboutin.jpg|frame|center|A plot of air pressure with respect to time with no sound energy]] [[Image:Lec2Plot2_ECE301Fall2008mboutin.jpg|frame|center|A plot of air pressure with respect to time with a low-frequency sine wave. This2 KB (311 words) - 16:27, 3 December 2008
- The following plot of <math>e^x</math> doesn't repeat over time and is not periodic.<br>574 B (85 words) - 07:19, 14 April 2010
- plot(t,x);437 B (78 words) - 09:54, 6 September 2008
- plot(t,x)269 B (48 words) - 18:48, 3 September 2008
- ...of the angle. A way to avoid mistake is to draw a Real-Imaginary plane and plot the components of a complex number.2 KB (290 words) - 16:24, 4 September 2008
- ...the imaginary part, which is <math>12</math> in this case. Thus, we have a plot, on which the horizontal axis is real, and the vertical axis is imaginary.3 KB (425 words) - 05:34, 23 September 2011
- plot(t,y); plot(tp,c);656 B (87 words) - 21:36, 4 September 2008
- A plot of f(x) = sin(x) and g(x) = cos(x); both functions are periodic with period1 KB (253 words) - 07:04, 14 April 2010
- A plot of f(x) = sin(x) and g(x) = cos(x); both functions are periodic with period2 KB (291 words) - 07:03, 14 April 2010
- plot(t,x)186 B (34 words) - 07:11, 6 September 2008
- plot(t,x)406 B (69 words) - 11:32, 6 September 2008
- ...using the given Ts value. By decreasing Ts we increase the step size and plot more points thereby making a more accurate graph. plot(t,x)257 B (47 words) - 10:58, 7 September 2008
- plot(t,x)248 B (45 words) - 11:49, 7 September 2008
- ...y big(.07),T0 itself is 1/13 =.076.There are not many steps generating to plot an accurate graph. plot(t,x)346 B (58 words) - 20:00, 10 September 2008
- >> plot(t,x)734 B (115 words) - 04:01, 9 September 2008
- %plot the results plot(x,y)3 KB (536 words) - 11:07, 10 September 2008
- plot(t,x) plot(t,x)545 B (96 words) - 07:52, 9 September 2008
- plot(t,x) ...e greatly reduced. Dividing the Time Step by 130 gives us 13 cycles on the plot.633 B (106 words) - 09:09, 9 September 2008
- plot(t,c)2 KB (377 words) - 06:59, 10 September 2008
- plot(t,x) plot(t2,x2,'r',t,x,'b*') %tweaked to show both1 KB (232 words) - 07:00, 10 September 2008
- The original signal shown in the first plot is y(t) = sin(t) with a period of <math>2\pi</math> The plot on the left shows the same signal but in DT (y[n] = sin(n)). The sampling1 KB (239 words) - 06:20, 11 September 2008
- plot(t,x)507 B (86 words) - 16:26, 9 September 2008
- plot(t,y); plot(t,y2);480 B (75 words) - 17:07, 9 September 2008
- plot(t,x)514 B (82 words) - 17:25, 9 September 2008
- ...quite large,ie .07 and the period of the sinusoidal t0 = .0769 So, we cant plot 13 ycles of 13Hz accurately as we hardly get 1 point in each cycle. plot(t,x)452 B (76 words) - 17:31, 9 September 2008
- plot(t,Q) plot(t,Q)827 B (129 words) - 18:24, 9 September 2008
- %Plot the graph plot(t,z);1 KB (196 words) - 20:31, 10 September 2008
- plot(t,x) [[Image: Ece301_Hw2B_messedUP.jpg _ECE301Fall2008mboutin| Original Plot]]612 B (106 words) - 08:05, 10 September 2008
- plot(t,x)464 B (81 words) - 11:11, 10 September 2008
- plot(t,x)<br> ...oduces an accurate plot of the real part of the signal it is attempting to plot. However, because the sampling frequency is so large, the plotted points m659 B (120 words) - 15:21, 10 September 2008
- [[Image:Sinindt-rfscotthw2_ECE301Fall2008mboutin.jpg|frame|none|This plot was the result of sampling the CT signal with frequency 1. The squares are ...\over 8</math>. The sampled data points are represented by squares on the plot.]]1 KB (231 words) - 06:22, 11 September 2008
- plot(t,x)245 B (45 words) - 12:51, 10 September 2008
- plot(t,x)</pre> plot(t,x)</pre>437 B (77 words) - 12:56, 10 September 2008
- ...To=1/f=0.0786. Thus in one there are hardly one or two points and thus the plot is too irregular and cannot be plotted correctly. plot(t,x)624 B (116 words) - 14:41, 10 September 2008
- The following MATLAB program attempts to plot 13 cycles of a 13 Hz sinusoid, but it has a bug. Explain what the bug is, a plot(t,x)771 B (136 words) - 15:14, 10 September 2008
- plot(t,x)362 B (64 words) - 16:58, 10 September 2008
- plot(t,x) plot(t,x)509 B (90 words) - 17:33, 10 September 2008
- plot(t,x) plot(t,x)611 B (104 words) - 17:43, 10 September 2008
- plot(t,y,'.') plot(t,y,'.')891 B (157 words) - 18:13, 10 September 2008
- plot(t,x)246 B (43 words) - 18:02, 10 September 2008
- plot(t,x) %...and we plot it. plot(t,x) %...and we plot it.1 KB (178 words) - 18:05, 10 September 2008
- The code below is suppose to plot 13 cycles of a sinusoidal wave. However there is a problem with the code. plot(t,x)587 B (106 words) - 12:08, 11 September 2008
- plot(t,x) plot(t,x)574 B (100 words) - 18:24, 10 September 2008
- plot(t,x) == PLOT ==477 B (86 words) - 09:22, 12 September 2008
- plot(t,x)303 B (56 words) - 07:17, 11 September 2008
- plot(t,z);1 KB (263 words) - 09:36, 11 September 2008
- >> plot(t,y_sum)2 KB (380 words) - 10:24, 11 September 2008
- plot(t,y4); and the plot1 KB (186 words) - 16:24, 11 September 2008
- :If you plot the signal in DT sampling at 5Hz you get a non-periodic signal as follows:982 B (173 words) - 10:22, 11 September 2008
- plot(t,x)699 B (120 words) - 09:31, 11 September 2008
- plot(t,i)612 B (108 words) - 09:38, 11 September 2008
- plot(t,x) plot(t,x)473 B (82 words) - 09:42, 11 September 2008
- The bug is the fact that it isn't sampling enough times to plot a decent graph. The period is is 0.7 and so is the Ts value. So therefore plot(t,x)461 B (80 words) - 09:55, 11 September 2008
- plot(t,x)476 B (79 words) - 10:21, 11 September 2008
- plot(t,x) plot(t,x)549 B (76 words) - 10:38, 11 September 2008
- plot(t,x)798 B (136 words) - 14:54, 11 September 2008
- This can be seen in the following plot: This can be seen in the following plot:3 KB (512 words) - 06:47, 12 September 2008
- plot(t,x) plot(t,x)885 B (152 words) - 15:05, 11 September 2008
- plot(t,x) <br>When the program is ran, the plot is extremely rough and ugly.534 B (95 words) - 11:14, 11 September 2008
- plot(t, x, '-o') plot(t,x,'--o')1 KB (172 words) - 13:17, 12 September 2008
- plot(t,x) plot(t,x)538 B (84 words) - 13:06, 11 September 2008
- This MATLAB program attempts to plot 13 cycles of a 13 Hz sinusoid. plot(t,x)449 B (75 words) - 12:24, 11 September 2008
- plot(t,y4);2 KB (239 words) - 14:00, 11 September 2008
- plot(t,x) plot(t,x)573 B (96 words) - 14:13, 11 September 2008
- plot(t,x)260 B (47 words) - 14:20, 11 September 2008
- in DT. The first plot is periodic and the second plot(n, cos(n), '.');1 KB (223 words) - 09:59, 12 September 2008
- plot(t,x)552 B (87 words) - 14:59, 11 September 2008
- plot(t,x) plot(t,x)642 B (88 words) - 15:45, 11 September 2008
- ...riodic function derived from the same cosine function would be the scatter plot that the code generates in figure and can be seen below. plot(g,n);2 KB (242 words) - 16:14, 12 September 2008
- plot(t,x);774 B (126 words) - 13:28, 12 September 2008
- plot(t,x) plot(t,x)530 B (95 words) - 16:13, 11 September 2008
- plot(t,i)808 B (131 words) - 19:18, 11 September 2008
- plot(t,x) plot(t,x)918 B (157 words) - 17:05, 11 September 2008
- After running the given MATLAB code, the following plot was produced: ...a factor of 10 (with a new value <math>T_{s}=0.007</math>), the following plot is produced:1 KB (190 words) - 17:53, 11 September 2008
- plot(t,x)314 B (57 words) - 17:50, 11 September 2008
- plot(t,x)364 B (72 words) - 18:25, 11 September 2008
- plot(t,i)1 KB (207 words) - 21:44, 11 September 2008
- plot(t,x) plot(t,x)651 B (108 words) - 21:59, 11 September 2008
- The following MATLAB code cannot plot 13 cycles of a 13Hz sinusoid because this code has too large step function. plot(t,x)344 B (58 words) - 04:10, 12 September 2008
- plot(t,x)415 B (72 words) - 04:36, 12 September 2008
- plot(ratt,rational,'b') plot(nonratt,nonrational,'r')912 B (139 words) - 07:02, 12 September 2008
- plot(t,x) plot(t,x)723 B (119 words) - 06:43, 12 September 2008
- plot(n,y,'o-'); plot(n,y,'o-')1 KB (183 words) - 07:45, 12 September 2008
- plot(t,x) plot(t,x)853 B (162 words) - 12:08, 12 September 2008
- plot(t,x) </pre>373 B (63 words) - 07:58, 12 September 2008
- %%%Make first plot plot(t,y);644 B (100 words) - 19:00, 12 September 2008
- plot(t,x)333 B (56 words) - 10:46, 12 September 2008
- plot(t,x) plot(t,x, '.');1 KB (183 words) - 09:21, 12 September 2008
- The code given by the assignment was to plot 13 cycles of a 13Hz sinusoid. plot(t,x)1 KB (178 words) - 08:34, 12 September 2008
- plot(t,x) ...f cycles. By decreasing the sampling rate we will get a much more accurate plot.411 B (73 words) - 08:43, 12 September 2008
- I will take the values from 0 to 2 seconds, repeat it every 2 seconds and plot it over three periods using the following MATLAB code: plot(t1,y1,t2,y2,t3,y3)1 KB (217 words) - 08:58, 12 September 2008
- plot(t,x)296 B (51 words) - 09:32, 12 September 2008
- %The following code attempts to plot 13 cycles of plot(t,x,'--r')718 B (119 words) - 10:41, 12 September 2008
- plot(t,x).434 B (59 words) - 10:46, 12 September 2008
- ...rtmann. I use period of 10 to create this signal to be a periodic one. The plot is shown below:310 B (57 words) - 11:05, 12 September 2008
- plot(t,x) plot(t,x)1,020 B (176 words) - 11:10, 12 September 2008
- plot(t,x)402 B (73 words) - 11:14, 12 September 2008
- plot(t,x) plot(t,x)775 B (125 words) - 17:10, 12 September 2008
- plot(x,y)"851 B (147 words) - 15:14, 12 September 2008
- An easy way to prove if a system is linear is to plot the equation representing the system and then draw a horizontal line, i.e.1 KB (197 words) - 13:16, 12 September 2008
- plot(t,x);411 B (70 words) - 12:57, 12 September 2008
- plot(t,x) plot(t,x)260 B (50 words) - 15:25, 12 September 2008
- plot(t, x);389 B (59 words) - 13:38, 12 September 2008
- ...uses Ts of 0.07, or a '''sampling rate''' of 0.07 seconds. Therefore, the plot appears to only show one cycle of the sinusoid. plot(t,x);</pre>545 B (94 words) - 14:05, 12 September 2008
- ...ere is uite large, as a result it is not getting enough points in order to plot a proper garph. plot(t,x)398 B (72 words) - 14:44, 12 September 2008
- plot(n,y) plot(n,y2)769 B (126 words) - 15:32, 12 September 2008
- plot(x,y)499 B (90 words) - 15:14, 12 September 2008
- plot(t,x) plot(t,x)380 B (70 words) - 15:31, 12 September 2008
- plot(t,x)371 B (59 words) - 15:35, 12 September 2008
- original plot: plot(t,y,'b-')649 B (104 words) - 16:13, 12 September 2008
- plot(t,x) plot(t,x)431 B (76 words) - 15:55, 12 September 2008
- plot(t,x) plot(t,y)939 B (153 words) - 18:26, 12 September 2008
- plot(t,x) plot(t,x)594 B (85 words) - 17:38, 12 September 2008
- plot(t,x);445 B (77 words) - 18:20, 12 September 2008
- The following plot shows two periods of the periodic DT signal <math>x[n]</math>, a sawtooth: From the plot above, N = 4:1 KB (162 words) - 13:40, 24 September 2008
- We will first find the fourrier transform X(W) and plot out its signal over a period of frequency Wm.805 B (160 words) - 20:06, 17 November 2008
- All points which satisfy D(X,0)=k, for some Constant k, if we plot them we will get a sphere.3 KB (528 words) - 08:48, 10 April 2008
- Then, for each threshold, you plot the [[true positive rate_Old Kiwi]] against the [[false positive rate_Old K3 KB (621 words) - 08:48, 10 April 2008
- ...nima status with some other points, and this is shown below in the contour plot by the small line.2 KB (336 words) - 14:53, 16 March 2008
- plot(r(:,1),r(:,2),'.');2 KB (362 words) - 17:44, 19 March 2008
- ...ctly with this command. However, this information is needed to derive (and plot) the theoretical expression for tex:S_y(e^{-j\mu}, e^{-j\nu}). Use the fact2 KB (258 words) - 00:51, 22 March 2008
- subplot(length(n), length(h1), (row-1)*length(h1)+col); plot(x,prob_estimate);2 KB (267 words) - 20:45, 26 March 2008
- First plot shows the actual classes of the dataset, second plot shows the situation in which we do not know the label of the data points, a888 B (147 words) - 15:11, 24 April 2008
- [Plot of solution]710 B (117 words) - 12:19, 22 October 2010
- Express each of the following complex numbers in polar form, and plot them in the complex plane, indicating the magnitude and angle of each numbe1 KB (232 words) - 01:33, 13 June 2008
- ...e two. I think this is how you do it at least. I am going to use MATLAB to plot them. --[[User:Kfernan|Kevin Fernandes]]3 KB (560 words) - 05:47, 30 September 2009
- *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
- plot(t,sin(t)); plot(t,noise);7 KB (1,251 words) - 11:54, 21 September 2012
- ...z1 by r1.exp(jw1), where r1 and w1 are constants. Now, for an approximate plot, do I fix r1 and w1, as the values that correspond to the approximate locat4 KB (628 words) - 15:47, 30 November 2010
- ...tion. We will look at the signal in the frequency domain, as shown in the plot below: As seen in the plot, the signal <math> X(f) </math> has a triangular shape and is band-limited5 KB (840 words) - 19:08, 22 September 2009
- Let us assume the following plot for <math>X_1(\omega)</math>. We will also assume that the Nyquist conditio Now, on scaling we have the following plot for <math>\frac{1}{D} X_1(\frac{\omega}{D})</math>4 KB (655 words) - 07:13, 23 September 2009
- ...olors (along a set color scale) or varying shades of black for a grayscale plot. An example of each type is shown below:8 KB (1,268 words) - 07:16, 23 September 2009
- ...ously, the signal now contains more samples, as we can see from the x-axis plot.5 KB (847 words) - 11:54, 21 September 2012
- han = plot(time,x); han1 = plot(f,abs(X));780 B (113 words) - 20:52, 13 October 2009
- han = plot(time,x); han1 = plot(f,abs(X));3 KB (343 words) - 21:04, 14 October 2009
- han = plot(time,bear); han1 = plot(f,abs(BEAR));2 KB (232 words) - 21:55, 14 October 2009
- ...sity.Generally Spectrograms are done in gray scale,where the darkness of a plot represents the high intensity regions.2 KB (356 words) - 06:07, 23 September 2014
- ...wo methods to differentiate between the two when observing the time domain plot of the audio signal5 KB (841 words) - 15:26, 10 April 2013
- ...d coincide with the center of the plot. But with a direct fft approach,the plot doesnt look like the expected fft graph. The DC components are found on the ...the shifted rect function. The fft is again shifted to render the expected plot.3 KB (495 words) - 10:13, 11 November 2011
- ...the 3D plot, keep the top view as a base, making the height as 1. The plot is a cube. Similar as sinc(u,v). ...n the 3D plot, we keep the top view as a base, making the height as 1. The plot is a cylinder.5 KB (950 words) - 15:17, 30 November 2010
- Plot of the frequency response of the average filter: Plot of the frequency response of the filter:1 KB (163 words) - 12:50, 26 November 2014
- and finally a histogram and normal plot were constructed for each sample size. ...e because the original distribution was not Normal , but as n increase the plot approach to a linear shape as illustrated below.7 KB (1,104 words) - 07:44, 23 February 2010
- plot(num_samples, muhat); plot(num_samples, sigmahat);4 KB (692 words) - 09:54, 16 April 2010
- The third plot shows the case where the data is not linearly separable. We can observe tha1 KB (238 words) - 10:01, 16 April 2010
- ...oo many points to plot discretely so to prevent getting messy we use the ''plot ''command in Matlab instead of ''stem''. <br> ! [[Image:Original xn.jpg|thumb|450px|plot version]]13 KB (2,348 words) - 13:25, 2 December 2011
- plot(P,T,'+',P,Y,'o'); title('network before training, + is teacher'); plot(P,T,'+',P,Y,'o'); title('Supervised output (+), Network output (o)');5 KB (746 words) - 09:55, 11 May 2010
- *[[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of some basic image filters]]9 KB (1,221 words) - 11:00, 22 December 2014
- ...middle of the piano other than C), sample the signal at those frequencies, plot the two sampled signals and observe the differences. Also, take the CTFT of1 KB (222 words) - 08:07, 7 September 2010
- #Plot x[n]. #Plot the magnitude of X[k].3 KB (467 words) - 11:29, 20 October 2010
- Plot result:10 KB (1,690 words) - 17:44, 23 October 2011
- Plot both the magnitude H(<math>\omega</math>) and the phase H(<math>\omega</mat a. Compute the transfer function. Plot the zero-pole graph of H(z) and declare the ROC.3 KB (479 words) - 10:42, 11 November 2011
- <math>|H(e^{jw})|</math> = 1 (Plot is line with constant value 1) <br/> Phase{<math>H(e^{jw}</math>)} = slope = -1 (Plot is line with slope -1 with value 0 at <math>\omega</math> = 0)4 KB (643 words) - 04:31, 1 November 2010
- .... In the 3D plot, keep the top view as a base, making the height as 1. The plot is a cube. Similar as sinc(u,v). ...n the 3D plot, we keep the top view as a base, making the height as 1. The plot is a cylinder.8 KB (1,167 words) - 15:32, 23 April 2013
- ...volution directly of <math>y[n]=x[n]\circledast_4 h[n]</math>;(You may use plot to explain your answer)3 KB (561 words) - 10:43, 11 November 2011
- *A plot of the 2D Rect function764 B (120 words) - 10:11, 11 November 2011
- ...y they are fraternal? (Simplify your answer as much as possible.) Sketch a plot of the conditional probability that the twins are fraternal given that they7 KB (1,210 words) - 08:31, 27 June 2012
- *[[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of some basic image filters]]808 B (107 words) - 10:56, 29 November 2010
- .... In the 3D plot, keep the top view as a base, making the height as 1. The plot is a cube. Similar as sinc(u,v). ...n the 3D plot, we keep the top view as a base, making the height as 1. The plot is a cylinder.8 KB (1,206 words) - 22:08, 30 November 2010
- This is the separated waveform plot of Vuvuzelas, showing that it is periodic. Which is very convenient to impl Further exploration of the waveform, the dB plot is as following:3 KB (409 words) - 08:53, 11 November 2013
- The figure below shows the plot of the FT of <span class="texhtml">''x''(''t'')</span>.9 KB (1,462 words) - 07:01, 22 April 2011
- ...e by using the number line for the real part and adding a vertical axis to plot the imaginary part. In this way the complex numbers contain the ordinary re5 KB (766 words) - 07:16, 3 July 2012
- ...rame=frame+1;<br> area(X, product, 'facecolor', 'yellow');<br> hold on<br> plot(X, F1, 'b', X, F2_shifted, 'r', X, integral, 'k', [offset offset], [0 2], '1 KB (212 words) - 19:16, 5 May 2011
- title('Title of the plot');1 KB (162 words) - 00:41, 9 January 2018
- *[[DTFT_Window_Function|The page I used in class to show the plot of the DTFT of a window function]]1 KB (199 words) - 06:25, 11 September 2013
- ...sponse 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_Fall_2009_mbou1 KB (164 words) - 06:30, 11 September 2013
- Zero-pole plot Zero-pole plot11 KB (1,757 words) - 11:15, 30 October 2011
- ...ion, as I plot the DTFT of a same word 'Bye' said by male and female, the plot seems not well behaved and cannot found significant result. ::#Plot the signals, DTFTs, Average power and compare the plots.7 KB (1,108 words) - 06:02, 23 September 2014
- The blue plot is the signal without LPF and the red plot is the signal with LPF. We can easily find the aliasing part in the graph. The blue plot is the signal without LPF and the red plot is the signal with LPF.10 KB (1,707 words) - 10:44, 6 May 2012
- *[[2D_rect|Plot of rext(x,y)]]1 KB (149 words) - 06:31, 11 September 2013
- ...pecting the contribution to non harmonic frequencies, i.e. the part on FFT plot at low frequency but not at peak looks like noise, I found that they do hav6 KB (931 words) - 20:33, 15 November 2011
- ...sform and looked at [[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|its plot]]. Using the separability of the filter greatly facilitated the computation2 KB (213 words) - 06:32, 11 September 2013
- ...pute the CSFT H(u,v) of this filter. Sketch the plot of H(u,0). Sketch the plot of H(0,v).2 KB (270 words) - 03:59, 31 August 2013
- *[[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
- Suppose camera A records x and y position of the oscillating string, and we plot the data. Ideally, the points would form a single line, but in most experim6 KB (1,043 words) - 12:45, 3 March 2015
- ...an generate multivariate normal data for 'w' classes. I am not sure how to plot them together with different colors. eg.: For 'w' = 2, I can plot both the dataset on same surf plot but it is the same colormap. Is it possible to have two color which can hel2 KB (320 words) - 12:21, 12 February 2012
- ...or an arbitrary network, containing routing domains et al. I would need to plot them in an interactive way, so that the whole network could be visualized a3 KB (550 words) - 12:22, 9 February 2012
- plot(r(:,1),r(:,2),'.');3 KB (387 words) - 12:50, 9 February 2012
- ...y they are fraternal? (Simplify your answer as much as possible.) Sketch a plot of the conditional probability that the twins are fraternal given that they5 KB (748 words) - 01:01, 10 March 2015
- Plot[Cos[x]. {x, -10, 10}]616 B (84 words) - 12:37, 15 October 2012
- * Convert complex numbers from polar to Cartesian and plot: 1.48ac * Convert complex numbers from Cartesian to polar and plot: 1.49cfhj699 B (95 words) - 10:13, 13 June 2016
- ...in section 4 for the projection coefficients. It is an image or a regular plot? The paragraph describing that procedure is not too clear for me.3 KB (496 words) - 08:12, 9 April 2013
- plot(walk); grid on; hold on; % plot starting (green) and end (red) markers2 KB (289 words) - 15:14, 1 May 2016
- c) Plot Fourier Transform of filter’s impulse response in 3D. f) Plot Fourier Transform of filter’s impulse response in 3D.4 KB (573 words) - 10:15, 15 May 2013
- plot(t,y,'LineWidth',2); plot(t,fn,'m','LineWidth',2);2 KB (322 words) - 23:38, 10 March 2013
- ''c) Plot Fourier Transform of filter’s impulse response in 3D.'' ''f) Plot Fourier Transform of filter’s impulse response in 3D.''2 KB (348 words) - 10:50, 11 March 2013
- ...ctly with this command. However, this information is needed to derive (and plot) the theoretical expression for tex:S_y(e^{-j\mu}, e^{-j\nu}). Use the fact2 KB (264 words) - 08:05, 9 April 2013
- ...(r)\}</math>, which is <math>F(u,v)</math> in polar coordinates. So we can plot <math>F(u,v)</math> from projections but using this method, data points for9 KB (1,485 words) - 12:30, 17 April 2014
- k-space is the plot of wave numbers but you can also think about it in frequency. Really the do27 KB (4,777 words) - 07:25, 26 February 2014
- #plot power dissipation of CMOS logic circuits as a function of operating frequen #plot power dissipation of CMOS logic circuits as a function of power supply volt3 KB (498 words) - 08:36, 21 August 2013
- #plot power dissipation of CMOS logic circuits as a function of operating frequen #plot power dissipation of CMOS logic circuits as a function of power supply volt3 KB (504 words) - 07:31, 26 February 2014
- <center>[[Image:fig2_functions_on_rv.png|400px|thumb|left|Fig 2: This plot of g(x) can be used to derive D<math>_Y</math> graphically]]</center>9 KB (1,723 words) - 12:11, 21 May 2014
- ...it mean plot them as individual functions on the same plot or does it mean plot the function as the partial sums summed together? plot multiple functions on a single graph, here's a7 KB (1,302 words) - 04:58, 23 October 2013
- I think the book answer is for Question 28 not 29. If you plot the function it looks like the sawtooth function. Anyway for the Fourier Si ...lf range expansion (though intuitively you already know it's sin(x) by the plot). If you do the bn integral using the trig identities Dr. Bell shows below8 KB (1,388 words) - 14:51, 29 October 2013
- *[[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of some basic image filters]]4 KB (471 words) - 19:34, 9 February 2015
- Zero-pole plot Zero-pole plot11 KB (1,764 words) - 12:08, 29 October 2013
- ...pute the CSFT H(u,v) of this filter. Sketch the plot of H(u,0). Sketch the plot of H(0,v).2 KB (262 words) - 06:50, 15 November 2013
- ...sform and looked at [[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|its plot]]. Using the separability of the filter greatly facilitated the computation * [[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of CSFT of basic image filters]].3 KB (367 words) - 07:27, 15 November 2013
- plot(t(1:l),x) n=length(x); %plot the graph4 KB (753 words) - 09:46, 13 February 2014
- *[[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of frequency response of basic image filters]]2 KB (240 words) - 07:14, 22 November 2013
- ...f points along the curve. Due to the finite solutions to the equation, the plot of points for a curve group over F<sub>p</sub> does not actually resemble a19 KB (3,051 words) - 22:23, 4 December 2013
- ...the location in each frame. The next step is to display the data. First we plot the last frame of the raw color video: plot(centroids(j,1),centroids(j,2),'ro')11 KB (1,762 words) - 09:42, 13 February 2014
- ...ega_1)</math> and <math>\rho(x|\omega_2) Prob(\omega_2)</math> on the same plot as shown in Figure 1.13 KB (2,062 words) - 10:45, 22 January 2015
- ...that both eigenvectors are unitary vector, i.e. their length is 1. Now we plot the eigenvector together with data set in Figure 3. The red line indicates22 KB (3,459 words) - 10:40, 22 January 2015
- Figure 1(a) shows a scatter plot of the generated samples along with one contour at unit Mahalanobis distanc17 KB (2,603 words) - 10:38, 22 January 2015
- ** Consider increasing the size of the plot, since that would make the crosses and circles easier to see.3 KB (504 words) - 16:04, 30 April 2014
- ..._Exam1_Soln.pdf|Solution]]. Statistics: possible=100, mean = 76, stdev=17, plot of histogram by [[Media:ECE301Summer2016_Exam1ProblemHistogram.png|problem] ...Exam2_Soln.pdf|Solution]]. Statistics: possible=100, mean = 66, stdev=22, plot of histogram by [[Media:ECE301Summer2016_Exam2ProblemHistogram.pdf|problem]6 KB (765 words) - 13:35, 4 August 2016
- ...ath>\{P_F(\eta, q), P_D(\eta, q)\}_\eta.\,</math> Equivalently, ROC is the plot of <math>\beta = P_D\,</math> versus <math>\alpha = P_F\,</math>. A typical15 KB (2,306 words) - 10:48, 22 January 2015
- ...d the methods. Also, I especially enjoy the way the k-NN decision boundary plot rendered (figure 6 to figure 9).2 KB (285 words) - 17:34, 2 May 2014
- A ROC curve shows the relationship of TPR over TPR in a x-y plot, which exploits trade-offs between true positive (benefits) and false posit Here we go over a simple example to plot an ROC curve. We assume that our classifier is able to return a probability11 KB (1,823 words) - 10:48, 22 January 2015
- In the plot, x and o represent two different classes.9 KB (1,540 words) - 10:56, 22 January 2015
- ...ce matrix which is a different thing compared to the 1D example. a scatter plot and a pie chart were methods to visualize the results. From all results dis3 KB (490 words) - 16:21, 14 May 2014
- 4) I think it might give a nice demonstration if you plot the histogram of U and X to show that this method really functions in the d2 KB (305 words) - 16:26, 14 May 2014
- ..." only shows ideal density plots, and it can make use of another laid-over plot of estimated density, i.e. a jagged version of the same densities, to show2 KB (263 words) - 05:27, 9 May 2014
- Now, the first trick is adding a dimension to this. Below is a plot of <math>(1, \vec{x})</math>. ...ind a “better” value for <span class="texhtml">''b''</span>. The below plot transforms the data so that all the class two data points are multiplied by10 KB (1,684 words) - 13:00, 5 May 2014
- Now, the first trick is adding a dimension to this. Below is a plot of <math>(1, \vec{x})</math>. ...ind a “better” value for <span class="texhtml">''b''</span>. The below plot transforms the data so that all the class two data points are multiplied by10 KB (1,666 words) - 10:56, 22 January 2015
- ...raph. Also plot the average of the error, over all 100 trials, for each N. Plot the standard derivation of the error, over all 100 trials, for each N, as2 KB (248 words) - 03:16, 8 July 2014
- Plot of <math>X_{1}(\omega)</math>: Plot of <math>X_{2}(\omega)</math>:5 KB (735 words) - 20:04, 16 March 2015
- The plot of the DTFT is shown below:5 KB (801 words) - 20:04, 16 March 2015
- Great job with the graphs! The matlab plot show the signal and where it is being sampled at was a great illustration.2 KB (394 words) - 05:38, 15 October 2014
- The topmost plot in the figure above shows the continuous-time Fourier Transform (CTFT) of t The middle-top plot shows the CTFT of an ideal sampling of the signal corresponding to multipli10 KB (1,650 words) - 19:04, 16 March 2015
- ...on. For example, what is Xs(t). Let us know that X(f) is just an arbitrary plot.3 KB (479 words) - 05:40, 15 October 2014
- 3 KB (575 words) - 05:37, 15 October 2014
- ...ons are great! The plots work and help illustrate the difference. The last plot needs to be labeled with <math> \omega </math> on the x-axis instead of <m ...rivation. The derivation was also very clear. As mentioned above, the last plot is labeled wrong, but otherwise this was a great slecture.4 KB (621 words) - 05:40, 15 October 2014
- :'''Zero-pole plot''' :'''Zero-pole plot'''11 KB (1,790 words) - 08:52, 10 November 2014
- The pole-zero plot is shown below. Below is a plot of the frequency response of the filter.5 KB (860 words) - 10:26, 20 November 2014
- ...DSFT </span> H(u,v) of this filter. Sketch the plot of H(u,0). Sketch the plot of H(0,v). What are the characteristics of this filter (low-pass, band-pass ...DSFT </span> H(u,v) of this filter. Sketch the plot of H(u,0). Sketch the plot of H(0,v). What are the characteristics of this filter (low-pass, band-pass5 KB (545 words) - 12:20, 9 December 2014
- ...sform and looked at [[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|its plot]]. Using the separability of the filter greatly facilitated the computation3 KB (373 words) - 07:08, 24 November 2014
- *[[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of frequency response of basic image filters]]2 KB (246 words) - 12:37, 1 December 2014
- ...pute the DSFT H(u,v) of this filter. Sketch the plot of H(u,0). Sketch the plot of H(0,v). What are the characteristics of this filter (low-pass, band-pass ...pute the DSFT H(u,v) of this filter. Sketch the plot of H(u,0). Sketch the plot of H(0,v). What are the characteristics of this filter (low-pass, band-pass10 KB (1,181 words) - 16:07, 2 December 2014
- ...y they are fraternal? (Simplify your answer as much as possible.) Sketch a plot of the conditional probability that the twins are fraternal given that they1 KB (187 words) - 01:03, 10 March 2015
- ...ute the DSFT H(u,v) of this filter. Sketch the plot of H(u,0). Sketch the plot of H(0,v). What are the characteristics of this filter (low-pass, band-pass ...te the DSFT H(u,v) of this filter. Sketch the plot of H(u,0). Sketch the plot of H(0,v). What are the characteristics of this filter (low-pass, band-pass4 KB (416 words) - 11:50, 20 November 2015
- :'''Zero-pole plot''' :'''Zero-pole plot'''11 KB (1,782 words) - 00:17, 23 November 2015
- ...trying to forget the periodic repetition as a "rule," we can see that the plot quite clearly shows something interesting about discrete signals: that they ..., two: -1Hz and 1Hz, since <math>\cos(-x) = \cos(x)</math>). If we were to plot the CTFT of the above signal, we would get impulses at -1Hz and 1Hz. There12 KB (2,004 words) - 20:37, 2 December 2015
- d) Sketch a chromaticity diagram and plot and label the following on it:3 KB (524 words) - 12:53, 7 December 2015
- ...pute the DSFT H(u,v) of this filter. Sketch the plot of H(u,0). Sketch the plot of H(0,v). What are the characteristics of this filter (low-pass, band-pass ...pute the DSFT H(u,v) of this filter. Sketch the plot of H(u,0). Sketch the plot of H(0,v). What are the characteristics of this filter (low-pass, band-pass10 KB (1,157 words) - 22:56, 2 December 2015
- ** [[Media:classMovingAverage.zip| Code]] to plot the moving average. ** [[Media:euler.png|Plot]] of the complex exponential. Modified matlab [[Media:classExample_jun07.zi2 KB (358 words) - 21:09, 1 August 2016
- ...gence has a total of 6 poles inside it. However since we are assuming this plot to be of a right sided signal, the region of convergence is formed by the r The diagram above shows a pole-zero plot for a left sided signal. The plot has 7 poles in total. The pole located closest to the origin is at z=1. Sin10 KB (1,800 words) - 10:41, 27 November 2016
- :'''Zero-pole plot''' :'''Zero-pole plot'''9 KB (1,559 words) - 14:33, 24 November 2016
- ..., where Y is the quantized signal and X is the original signal. Below is a plot of our sample input file and its 8-bit quantized version.8 KB (1,282 words) - 01:02, 28 November 2016
- ...he recordings of vowel sounds provided in ECE438 Lab9a. Below is a scatter plot of the first two formants of these signals. <center>[[File:Formants.JPG|500px|thumb|center|<small>Formant plot for the five vowels.</small>]]</center>6 KB (903 words) - 00:02, 24 April 2017
- One disappointing fact is I could not find a way to plot the filter response over the as cutoff was changed with the mouse, which wo6 KB (1,048 words) - 16:58, 24 April 2017
- ...> \frac{1}{8} sinc(\frac{t-15}{7}) </math> find <math> \chi(f) </math> and plot <math> |\chi(f)| </math> Is this an implicit or an explicit system? What does this tell us about the plot on the Z plane?7 KB (1,194 words) - 19:21, 24 April 2017
- ...the first 2 largest peaks (the formants). Once I had these, I was able to plot them in 3-space with respect to the letters. <center>Fig. 2: My Matlab used to create the DFTs, find the peaks, and plot the 3D vocal triangle</center>3 KB (576 words) - 23:56, 23 April 2017
- plot(speech)4 KB (732 words) - 16:50, 24 April 2017
- ...ophone to record samples of the sound at each point. A FFT is then used to plot and graph the power spectral density vs frequency at that location. By pla2 KB (298 words) - 00:06, 24 April 2017
- v_{avg} = \mu E \text{ (So, we use the $2^{nd}$ plot)}3 KB (457 words) - 10:59, 6 August 2017
- v_{avg} = \mu E \text{ (So, we use the 2nd plot)}4 KB (644 words) - 19:34, 30 July 2017
- The first thing I'm going to do is plot my data on a graph and sketch a line that I think is a good estimate for my2 KB (247 words) - 21:37, 12 November 2017
- == 2. Draw the Z Transform plot in 3D format == Conventionally, when we draw the 2-D Z transform plot, we assign x-axis as the Real axis and y-axis as the Complex axis. Values o2 KB (310 words) - 21:40, 30 November 2017
- == 2. Draw the Z Transform plot in 3D format == Conventionally, when we draw the 2-D Z transform plot, we assign x-axis as the Real axis and y-axis as the Complex axis. Values o2 KB (310 words) - 21:44, 30 November 2017
- <center> Figure 3: Plot of <math> y = \frac{1}{\phi} </math> with Pairs of Consecutive Fibonacci Nu5 KB (822 words) - 00:44, 3 December 2018
- ''plot(y(1:50))'' ''plot(f,Pyy(1:128));''3 KB (555 words) - 22:02, 2 December 2018
- (a) Plot the magnitude of the DTFT of <math>x[n]</math>, <math>X(\omega)</math>, ove (b) Plot the magnitude of the DTFT of <math>x_0[n]</math>, <math>X_0(\omega)</math>,4 KB (738 words) - 15:34, 19 February 2019
- ...t is of constant density with <math>\mu(x,y) = \mu_0</math>. Then sketch a plot of <math>\hat{P}_n</math> versus the object thickness, <math>T_n</math>, in3 KB (575 words) - 03:07, 26 April 2020
- A) [[File:rlocus.jpg|150px|Alt text.|The root locus plot]]3 KB (474 words) - 00:16, 2 August 2019
- # Plot time-domain representations of voiced phonemes imagesc(x1,y1,A); %define x and y time/freq. vectors to plot12 KB (1,785 words) - 10:53, 28 November 2019
- ...rkable light bulb moment and a thrilling story that almost sounds like the plot of a movie.13 KB (2,241 words) - 21:55, 5 December 2020
- ...rkable light bulb moment and a thrilling story that almost sounds like the plot of a movie.3 KB (486 words) - 14:09, 30 November 2020
- ...monstrated in the above scenario. The following lines are used to create a plot of the current data. Note that we create another variable ''stateHist'' tha Line 20: This uses the ''matplotlib'' package we imported to show us the plot we have created.4 KB (745 words) - 00:57, 6 December 2020
- ...arl Sagan is a science fiction book which bases a reasonable amount of the plot around pi and its computation. In order to determine how often this happens, we can plot (1/2)sin(θ) on a graph. As you can see, D can range from 0 to ½ and θ c18 KB (2,815 words) - 11:22, 8 December 2022
