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= [[ECE_PhD_Qualifying_Exams|ECE Ph.D. Qualifying Exam]]: COMMUNICATIONS, NETWORKING, SIGNAL AND IMAGE PROESSING (CS)- Question 1, January 2006=
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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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January 2006
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==Question==
 
==Question==
'''Part 1. '''
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1 (33 points)
  
Write Statement here
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Let <math class="inline">\mathbf{X}</math>  and <math class="inline">\mathbf{Y}</math>  be two joinly distributed random variables having joint pdf
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<math class="inline">f_{\mathbf{XY}}\left(x,y\right)=\left\{ \begin{array}{lll}
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1, &  & \text{ for }0\leq x\leq1\text{ and }0\leq y\leq1\\
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0, &  & \text{ elsewhere. }
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\end{array}\right.</math>
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(a)
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Are <math class="inline">\mathbf{X}</math>  and <math class="inline">\mathbf{Y}</math>  statistically independent? Justify your answer.
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(b)
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Let <math class="inline">\mathbf{Z}</math>  be a new random variable defined as <math class="inline">\mathbf{Z}=\mathbf{X}+\mathbf{Y}</math> . Find the cdf of <math class="inline">\mathbf{Z}</math> .
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(c)
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Find the variance of <math class="inline">\mathbf{Z}</math> .
  
 
:'''Click [[ECE_PhD_QE_CNSIP_Jan_2006_Problem1.1|here]] to view student [[ECE_PhD_QE_CNSIP_Jan_2006_Problem1.1|answers and discussions]]'''
 
:'''Click [[ECE_PhD_QE_CNSIP_Jan_2006_Problem1.1|here]] to view student [[ECE_PhD_QE_CNSIP_Jan_2006_Problem1.1|answers and discussions]]'''
 
----
 
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'''Part 2.'''
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2 (33 points)
  
Write question here.
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Suppose that <math class="inline">\mathbf{X}</math>  and <math class="inline">\mathbf{N}</math>  are two jointly distributed random variables, with <math class="inline">\mathbf{X}</math>  being a continuous random variable that is uniformly distributed on the interval <math class="inline">\left(0,1\right)</math>  and <math class="inline">\mathbf{N}</math>  being a discrete random variable taking on values <math class="inline">0,1,2,\cdots</math>  and having conditional probability mass function <math class="inline">p_{\mathbf{N}}\left(n|\left\{ \mathbf{X}=x\right\} \right)=x^{n}\left(1-x\right),\quad n=0,1,2,\cdots</math> .
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(a)
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Find the probability that \mathbf{N}=n .
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(b)
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Find the conditional density of <math class="inline">\mathbf{X}</math>  given <math class="inline">\left\{ \mathbf{N}=n\right\}</math>  .
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(c)
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Find the minimum mean-square error estimator of <math class="inline">\mathbf{X}</math>  given <math class="inline">\left\{ \mathbf{N}=n\right\}</math>  .
  
 
:'''Click [[ECE_PhD_QE_CNSIP_Jan_2006_Problem1.2|here]] to view student [[ECE_PhD_QE_CNSIP_Jan_2006_Problem1.2|answers and discussions]]'''
 
:'''Click [[ECE_PhD_QE_CNSIP_Jan_2006_Problem1.2|here]] to view student [[ECE_PhD_QE_CNSIP_Jan_2006_Problem1.2|answers and discussions]]'''
 
----
 
----
'''Part 3.'''
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3 (34 points)
  
Write question here.
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Assume that the locations of cellular telephone towers can be accurately modeled by a 2-dimensional homogeneous Poisson process for which the following two facts are know to be true:
  
:'''Click [[ECE_PhD_QE_CNSIP_Jan_2006_Problem1.3|here]] to view student [[ECE_PhD_QE_CNSIP_Jan_2006_Problem1.3|answers and discussions]]'''
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1. The number of towers in a region of area A  is a Poisson random variable with mean \lambda A , where \lambda>0 .
----
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'''Part 4.'''
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Write question here.
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2. The number of towers in any two disjoint regions are statistically independent.
  
:'''Click [[ECE_PhD_QE_CNSIP_Jan_2006_Problem1.4|here]] to view student [[ECE_PhD_QE_CNSIP_Jan_2006_Problem1.4|answers and discussions]]'''
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Assume you are located at a point we will call the origin within this 2-dimensional region, and let <math class="inline">R_{\left(1\right)}<R_{\left(2\right)}<R_{\left(3\right)}<\cdots</math>  be the ordered distances between the origin and the towers.
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(a) Show that <math class="inline">R_{\left(1\right)}^{2},R_{\left(2\right)}^{2},R_{\left(3\right)}^{2},\cdots</math>  are the points of a one-dimensional homogeneous Poisson process.
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(b) What is the rate of the Poisson process in part (a)? <math class="inline">\lambda\pi</math> .
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(c) Determine the density function of <math class="inline">R_{\left(k\right)}</math> , the distance to the <math class="inline">k</math> -th nearest cell tower.
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:'''Click [[ECE_PhD_QE_CNSIP_Jan_2006_Problem1.3|here]] to view student [[ECE_PhD_QE_CNSIP_Jan_2006_Problem1.3|answers and discussions]]'''
 
----
 
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Latest revision as of 10:24, 10 March 2015


ECE Ph.D. Qualifying Exam

Communication, Networking, Signal and Image Processing (CS)

Question 1: Probability and Random Processes

January 2006



Question

1 (33 points)

Let $ \mathbf{X} $ and $ \mathbf{Y} $ be two joinly distributed random variables having joint pdf

$ f_{\mathbf{XY}}\left(x,y\right)=\left\{ \begin{array}{lll} 1, & & \text{ for }0\leq x\leq1\text{ and }0\leq y\leq1\\ 0, & & \text{ elsewhere. } \end{array}\right. $

(a)

Are $ \mathbf{X} $ and $ \mathbf{Y} $ statistically independent? Justify your answer.


(b)

Let $ \mathbf{Z} $ be a new random variable defined as $ \mathbf{Z}=\mathbf{X}+\mathbf{Y} $ . Find the cdf of $ \mathbf{Z} $ .

(c)

Find the variance of $ \mathbf{Z} $ .

Click here to view student answers and discussions

2 (33 points)

Suppose that $ \mathbf{X} $ and $ \mathbf{N} $ are two jointly distributed random variables, with $ \mathbf{X} $ being a continuous random variable that is uniformly distributed on the interval $ \left(0,1\right) $ and $ \mathbf{N} $ being a discrete random variable taking on values $ 0,1,2,\cdots $ and having conditional probability mass function $ p_{\mathbf{N}}\left(n|\left\{ \mathbf{X}=x\right\} \right)=x^{n}\left(1-x\right),\quad n=0,1,2,\cdots $ .

(a)

Find the probability that \mathbf{N}=n .

(b)

Find the conditional density of $ \mathbf{X} $ given $ \left\{ \mathbf{N}=n\right\} $ .

(c)

Find the minimum mean-square error estimator of $ \mathbf{X} $ given $ \left\{ \mathbf{N}=n\right\} $ .

Click here to view student answers and discussions

3 (34 points)

Assume that the locations of cellular telephone towers can be accurately modeled by a 2-dimensional homogeneous Poisson process for which the following two facts are know to be true:

1. The number of towers in a region of area A is a Poisson random variable with mean \lambda A , where \lambda>0 .

2. The number of towers in any two disjoint regions are statistically independent.

Assume you are located at a point we will call the origin within this 2-dimensional region, and let $ R_{\left(1\right)}<R_{\left(2\right)}<R_{\left(3\right)}<\cdots $ be the ordered distances between the origin and the towers.

(a) Show that $ R_{\left(1\right)}^{2},R_{\left(2\right)}^{2},R_{\left(3\right)}^{2},\cdots $ are the points of a one-dimensional homogeneous Poisson process.

(b) What is the rate of the Poisson process in part (a)? $ \lambda\pi $ .

(c) Determine the density function of $ R_{\left(k\right)} $ , the distance to the $ k $ -th nearest cell tower.

Click here to view student answers and discussions

Back to ECE Qualifying Exams (QE) page

Alumni Liaison

Questions/answers with a recent ECE grad

Ryne Rayburn