• 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 K
    3 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 fact
    2 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, a
    888 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 numbe
    1 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. -Mike
    7 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 locat
    4 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-limited
    5 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 signal
    5 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 tha
    1 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&nbsp;''stem''.&nbsp;<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 of
    1 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 function
    764 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 they
    7 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 re
    5 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_mbou
    1 KB (164 words) - 06:30, 11 September 2013
  • Zero-pole plot Zero-pole plot
    11 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 hav
    6 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 computation
    2 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 experim
    6 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 hel
    2 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 a
    3 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 they
    5 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: 1.49cfhj
    699 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) markers
    2 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 fact
    2 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 for
    9 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 do
    27 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 volt
    3 KB (498 words) - 08:36, 21 August 2013

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Alumni Liaison

Sees the importance of signal filtering in medical imaging

Dhruv Lamba, BSEE2010