Search results for "Discrete random variable" - Rhea

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• Reading guide (ECE438BoutinSpring2009)
  * [http://vise.www.ecn.purdue.edu/VISE/ee438L/lab1/pdf/lab1.pdf Lab on discrete and continuous signals] *[http://vise.www.ecn.purdue.edu/VISE/ee438L/lab2/pdf/lab2.pdf Lab on discrete-time systems]
  8 KB (1,226 words) - 11:40, 1 May 2009
• Cheat2 ECE302Fall2008sanghavi
  '''If X is discrete PX(k)''' = P(X<= k)-P(X<=k-1) * For Continuous Random Variable:
  4 KB (722 words) - 13:05, 22 November 2011
• Divyanshu Kamboj 7.3 ECE302Fall2008sanghavi
  ...r is denoted P(A|X = 0) and the latter P(A|X = 1). Now define a new random variable Y, whose value is P(A|X = 0) if X = 0 and P(A|X = 1) if X = 1. That is ...to be the conditional probability of the event A given the discrete random variable X:
  2 KB (332 words) - 16:52, 20 October 2008
• 10/27 Lecture: Merkov and Chebyshev Inequalities ECE302Fall2008sanghavi
  if X is a a positive random variable with small mean, it is unlikely to be very large Let X be a random variable such that X >= 0. <br>
  1 KB (229 words) - 12:59, 22 November 2011
• Map Estimation ECE302Fall2008sanghavi
  <math>p(X; \theta)</math> (discrete) <math>P(\theta)</math> (discrete)
  4 KB (671 words) - 09:23, 10 May 2013
• 6.4.12 MA375Fall2008walther
  (Rosen - Discrete Mathematics and Its Appplications, 6th ed., pg. 440 (6.4.12)) ...ld roll the die any number of times from 1 to infinite. Consider a random variable R which is the number of rolls to roll a 6. We could determine the expecte
  2 KB (281 words) - 08:55, 16 October 2008
• ECE662:Glossary Old Kiwi
  ...dom variable" being observed should be the sum or mean of many independent random variables. (variables need not be iid)(See the PROOF ) ...nly statistical model that is needed is the conditional model of the class variable given the measurement. This conditional model can be obtained from a joint
  31 KB (4,832 words) - 18:13, 22 October 2010
• Peer Legacy ECE438
  ...real engineering. The concept of the Fourier Transform is extended to the discrete domain so that it may be computed using digital processors which is the bas ...weeks we spend on reviewing 301 material and spend more time on image and random process. -- [[User:xiao1|Yimin Xiao]]
  17 KB (3,004 words) - 08:11, 15 December 2011
• My use for the DFT!
  [[Category:discrete Fourier transform]] ...s (aka ''samples'') of a continuous-time function, <math>x(t)\,</math>, at discrete moments in time''':''' <math>t = nT\,</math>, where <math>T\,</math> is the
  13 KB (2,348 words) - 13:25, 2 December 2011
• Decision Theory Glossary ECE662Spring2008
  ...dom variable" being observed should be the sum or mean of many independent random variables. (variables need not be iid)(See the PROOF ) ...nly statistical model that is needed is the conditional model of the class variable given the measurement. This conditional model can be obtained from a joint
  31 KB (4,787 words) - 18:21, 22 October 2010
• ECE 600 Prerequisites Discrete Random Variables
  =='''1.4 Discrete Random Variables'''== ...cdots</math> are i.i.d. Bernoulli random variables, then Binomial random variable is defined as <math class="inline">\mathbf{X}=\mathbf{Y}_{1}+\mathbf{Y}_{2}
  5 KB (921 words) - 11:25, 30 November 2010
• ECE 600 General Concepts of Stochastic Processes Definitions
  ...ead of mapping each <math class="inline">\omega\in\mathcal{S}</math> of a random experiment to a number <math class="inline">\mathbf{X}\left(\omega\right)</ ...andom about the sample functions. The randomness comes from the underlying random experiment.
  16 KB (2,732 words) - 11:47, 30 November 2010
• ECE600 QE 2001 January
  ...a sequence of random variables that converge in mean square to the random variable <math class="inline">\mathbf{X}</math> . Does the sequence also converge to ...quence of random variable that converge in mean square sense to the random variable <math class="inline">\mathbf{X}</math> , also converges in probability to <
  6 KB (1,093 words) - 08:23, 27 June 2012
• ECE600 QE 2003 August
  State the definition of a random variable; use notation from your answer in part (a). A random variable <math class="inline">\mathbf{X}</math> is a process of assigning a number
  10 KB (1,608 words) - 08:31, 27 June 2012
• ECE600 QE 2006 January
  ...th> and <math class="inline">\mathbf{Y}</math> be two joinly distributed random variables having joint pdf Let <math class="inline">\mathbf{Z}</math> be a new random variable defined as <math class="inline">\mathbf{Z}=\mathbf{X}+\mathbf{Y}</math> . F
  9 KB (1,560 words) - 08:30, 27 June 2012
• ECE 600 Exams Geometric random variable
  =Example. Geometric random variable= Let <math class="inline">\mathbf{X}</math> be a random variable with probability mass function
  5 KB (793 words) - 12:10, 30 November 2010
• Probability Distribution
  | Random variable | Discrete uniform
  6 KB (851 words) - 15:34, 23 April 2013
• ECE301inBME
  ...stem [[Video Tutorial on How to Cascade Transformations of the Independent Variable|cascade]]: <br>x(t) = the amount of protein released by damaged endothelium ...CT (computerized tomography) scans all convert analog physical signals to discrete computer signals. Systems (maybe even [[Fourier_Transform_Video |Fourier]]/
  17 KB (2,368 words) - 10:53, 6 May 2012
• Probability practice problems list
  *Discrete Random Variables ...02S13Boutin|Normalizing the probability mass function of a discrete random variable]]
  7 KB (960 words) - 18:17, 23 February 2015
• ECE PhD QE CNSIP 2003 Problem1
  [[Category:random variables]] Question 1: Probability and Random Processes
  5 KB (729 words) - 00:51, 10 March 2015