Search results for "Plot" - Rhea

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• ECE270 Slecture Wayner Digital System Design Objectives Module 1
  #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 (504 words) - 07:31, 26 February 2014
• ECE600 F13 rv Functions of random variable mhossain
  <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
• HWK8MA527Fall2013
  ...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 a
  7 KB (1,302 words) - 04:58, 23 October 2013
• HWK9MA527Fall2013
  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 below
  8 KB (1,388 words) - 14:51, 29 October 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
• Hw8 ECE438F13sln
  Zero-pole plot Zero-pole plot
  11 KB (1,764 words) - 12:08, 29 October 2013
• HW11ECE438F13
  ...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
• Lecture37ECE438F13
  ...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
• Moon Landing Speech Analysis
  plot(t(1:l),x) n=length(x); %plot the graph
  4 KB (753 words) - 09:46, 13 February 2014
• Lecture39ECE438F13
  *[[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of frequency response of basic image filters]]
  2 KB (240 words) - 07:14, 22 November 2013
• Walther453Fall13 Topic13 paper
  ...f points along the curve. Due to the finite solutions to the equation, the plot of points for a curve group over F_p does not actually resemble a
  19 KB (3,051 words) - 22:23, 4 December 2013
• MotionTracking438
  ...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
• Upper Bounds for Bayes Error
  ...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
• PCA
  ...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 indicates
  22 KB (3,459 words) - 10:40, 22 January 2015
• ECE662 Whitening and Coloring Transforms S14 MH
  Figure 1(a) shows a scatter plot of the generated samples along with one contour at unit Mahalanobis distanc
  17 KB (2,603 words) - 10:38, 22 January 2015
• Comments Bayes Rule Dennis Lee
  ** 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
• 2016 Summer ECE 301 Shenk
  ..._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
• Neyman-Pearson Lemma and Receiver Operating Characteristic Curve
  ...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 typical
  15 KB (2,306 words) - 10:48, 22 January 2015
• Slecture Introduction to local density estimation methods review
  ...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
• ECE662 roc
  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 probability
  11 KB (1,823 words) - 10:48, 22 January 2015
• CBR logistic regression
  In the plot, x and o represent two different classes.
  9 KB (1,540 words) - 10:56, 22 January 2015
• Generating N-D Gaussian Data in Two Classes HyunDok Cho review
  ...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 dis
  3 KB (490 words) - 16:21, 14 May 2014
• Joonsoocomment
  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 d
  2 KB (305 words) - 16:26, 14 May 2014
• QA Nusaybah Abumulaweh ECEslecture Intro to Nonparametric density estimation
  ..." 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 show
  2 KB (263 words) - 05:27, 9 May 2014
• LinearClassierSlectureJMS
  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 by
  10 KB (1,684 words) - 13:00, 5 May 2014
• JMSLinearClassifierSlecture
  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 by
  10 KB (1,666 words) - 10:56, 22 January 2015
• Hw2 Bochum Su2014
  ...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, as
  2 KB (248 words) - 03:16, 8 July 2014
• DTFTCosinePawling
  Plot of <math>X_{1}(\omega)</math>: Plot of <math>X_{2}(\omega)</math>:
  5 KB (735 words) - 20:04, 16 March 2015
• Dtft sampling slecture srh
  The plot of the DTFT is shown below:
  5 KB (801 words) - 20:04, 16 March 2015
• SRH Slecture Review
  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
• Nyquist Michael Hayashi ECE438 slecture
  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 multipli
  10 KB (1,650 words) - 19:04, 16 March 2015
• Nyquist Theorem Stein slecture ECE438 review
  ...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
• DTFTCosinePawlingQuestions
  3 KB (575 words) - 05:37, 15 October 2014
• Frequency domain relation Botao Chen ECE438 slecture review
  ...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
• HW8ECE438F14 Soln
  :'''Zero-pole plot''' :'''Zero-pole plot'''
  11 KB (1,790 words) - 08:52, 10 November 2014
• HW9ECE438F14 Soln
  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
• HW11ECE438F14
  ...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-pass
  5 KB (545 words) - 12:20, 9 December 2014
• Lecture38ECE438F14
  ...sform and looked at [[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|its plot]]. Using the separability of the filter greatly facilitated the computation
  3 KB (373 words) - 07:08, 24 November 2014
• Lecture39ECE438F14
  *[[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of frequency response of basic image filters]]
  2 KB (246 words) - 12:37, 1 December 2014
• HW11ECE438F14 Soln
  ...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-pass
  10 KB (1,181 words) - 16:07, 2 December 2014
• ECE PhD QE CNSIP Jan 2004 Problem1.2
  ...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
  1 KB (187 words) - 01:03, 10 March 2015
• HW11ECE38F15
  ...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-pass
  4 KB (416 words) - 11:50, 20 November 2015
• HW9ECE438F15 Soln
  :'''Zero-pole plot''' :'''Zero-pole plot'''
  11 KB (1,782 words) - 00:17, 23 November 2015
• 2015 Fall ECE 438 Boutin A visual explanation of aliasing and repetition with the DTFT Erik Swan
  ...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. There
  12 KB (2,004 words) - 20:37, 2 December 2015
• ECE-QE CS5-2015
  d) Sketch a chromaticity diagram and plot and label the following on it:
  3 KB (524 words) - 12:53, 7 December 2015
• HW11ECE438F15 Soln
  ...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-pass
  10 KB (1,157 words) - 22:56, 2 December 2015
• ECE301Su2016 Notes
  ** [[Media:classMovingAverage.zip| Code]] to plot the moving average. ** [[Media:euler.png|Plot]] of the complex exponential. Modified matlab [[Media:classExample_jun07.zi
  2 KB (358 words) - 21:09, 1 August 2016
• The Z-transform
  ...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. Sin
  10 KB (1,800 words) - 10:41, 27 November 2016
• HW9ECE438F16sln
  :'''Zero-pole plot''' :'''Zero-pole plot'''
  9 KB (1,559 words) - 14:33, 24 November 2016
• Audio Compression
  ..., 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