(New page: ==Question== a) The Laplacian density function is given by <math class="inline">f\left(x\right)=\frac{A}{2}e^{-A\left|x\right|}\text{ where }A>0.</math> Determine its characteristic funct...)
 
 
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[[ECE_PhD_Qualifying_Exams|ECE Ph.D. Qualifying Exam]]
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Communication, Networking, Signal and Image Processing (CS)
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Question 1: Probability and Random Processes
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August 2000
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=Part 1=
 
a) The Laplacian density function is given by <math class="inline">f\left(x\right)=\frac{A}{2}e^{-A\left|x\right|}\text{ where }A>0.</math> Determine its characteristic function.
 
a) The Laplacian density function is given by <math class="inline">f\left(x\right)=\frac{A}{2}e^{-A\left|x\right|}\text{ where }A>0.</math> Determine its characteristic function.
  
 
b) Determine a bound on the probability that a RV is within two standard deviations of its mean.
 
b) Determine a bound on the probability that a RV is within two standard deviations of its mean.
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==Share and discuss your solutions below.==
 
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=Solution 1 (retrived from [[ECE600_QE_2000_August|here]])=
 
=Solution 1 (retrived from [[ECE600_QE_2000_August|here]])=
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<math class="inline">P\left(\left\{ \left|\mathbf{X}-\overline{\mathbf{X}}\right|\leq2\sigma\right\} \right)\geq\frac{3}{4}.</math>  
 
<math class="inline">P\left(\left\{ \left|\mathbf{X}-\overline{\mathbf{X}}\right|\leq2\sigma\right\} \right)\geq\frac{3}{4}.</math>  
 
 
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==Solution 2==
 
==Solution 2==

Latest revision as of 10:33, 13 September 2013


ECE Ph.D. Qualifying Exam

Communication, Networking, Signal and Image Processing (CS)

Question 1: Probability and Random Processes

August 2000



Part 1

a) The Laplacian density function is given by $ f\left(x\right)=\frac{A}{2}e^{-A\left|x\right|}\text{ where }A>0. $ Determine its characteristic function.

b) Determine a bound on the probability that a RV is within two standard deviations of its mean.


Share and discuss your solutions below.


Solution 1 (retrived from here)

(a)'

$ \Phi_{\mathbf{X}}\left(\omega\right)=E\left[e^{i\omega\mathbf{X}}\right]=\int_{-\infty}^{\infty}\frac{A}{2}e^{-A\left|x\right|}\cdot e^{i\omega x}dx=\frac{A}{2}\left[\int_{-\infty}^{0}e^{x\left(A+i\omega\right)}dx+\int_{0}^{\infty}e^{x\left(-A+i\omega\right)}dx\right] $$ =\frac{A}{2}\left[\frac{e^{x\left(A+i\omega\right)}}{A+i\omega}\biggl|_{-\infty}^{0}+\frac{e^{x\left(-A+i\omega\right)}}{-A+i\omega}\biggl|_{0}^{\infty}\right]=\frac{A}{2}\left[\frac{1}{A+i\omega}-\frac{1}{-A+i\omega}\right] $$ =\frac{A}{2}\cdot\frac{A-i\omega+A+i\omega}{A^{2}+\omega^{2}}=\frac{A^{2}}{A^{2}+\omega^{2}}. $

(b)

$ P\left(\left\{ \left|\mathbf{X}-\overline{\mathbf{X}}\right|\leq2\sigma\right\} \right)=1-P\left(\left\{ \left|\mathbf{X}-\overline{\mathbf{X}}\right|>2\sigma\right\} \right). $ By Chebyshev Inequality, $ P\left(\left\{ \left|\mathbf{X}-\overline{\mathbf{X}}\right|>2\sigma\right\} \right)\leq\frac{\sigma^{2}}{\left(2\sigma\right)^{2}}=\frac{1}{4} $ .

$ P\left(\left\{ \left|\mathbf{X}-\overline{\mathbf{X}}\right|\leq2\sigma\right\} \right)\geq\frac{3}{4}. $


Solution 2

Write it here.


Back to QE CS question 1, August 2000

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