(4 intermediate revisions by 3 users not shown)
Line 4: Line 4:
 
[[Category:problem solving]]
 
[[Category:problem solving]]
 
[[Category:random variables]]
 
[[Category:random variables]]
 +
[[Category:probability]]
  
= [[ECE_PhD_Qualifying_Exams|ECE Ph.D. Qualifying Exam]]: COMMUNICATIONS, NETWORKING, SIGNAL AND IMAGE PROESSING (CS)- Question 1, January 2006=
+
<center>
 +
<font size= 4>
 +
[[ECE_PhD_Qualifying_Exams|ECE Ph.D. Qualifying Exam]]
 +
</font size>
 +
 
 +
<font size= 4>
 +
Communication, Networking, Signal and Image Processing (CS)
 +
 
 +
Question 1: Probability and Random Processes
 +
</font size>
 +
 
 +
January 2006
 +
</center>
 +
----
 
----
 
----
 
==Question==
 
==Question==
Write it here
+
1 (33 points)
 +
 
 +
Let <math class="inline">\mathbf{X}</math>  and <math class="inline">\mathbf{Y}</math>  be two joinly distributed random variables having joint pdf
 +
 
 +
<math class="inline">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.</math>
 +
 
 +
(a)
 +
 
 +
Are <math class="inline">\mathbf{X}</math>  and <math class="inline">\mathbf{Y}</math>  statistically independent? Justify your answer.
 +
 
 +
 
 +
(b)
 +
 
 +
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> .
 +
 
 +
(c)
 +
 
 +
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]]'''
 
----
 
----
=Solution 1 (retrived from [[ |here]])=
+
2 (33 points)
  
 +
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> .
  
 +
(a)
 +
 +
Find the probability that \mathbf{N}=n .
 +
 +
(b)
 +
 +
Find the conditional density of <math class="inline">\mathbf{X}</math>  given <math class="inline">\left\{ \mathbf{N}=n\right\}</math>  .
 +
 +
(c)
 +
 +
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]]'''
 
----
 
----
==Solution 2==
+
3 (34 points)
Write it here.
+
 
 +
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 <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.
 +
 
 +
(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.
 +
 
 +
(b) What is the rate of the Poisson process in part (a)? <math class="inline">\lambda\pi</math> .
 +
 
 +
(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.
 +
 
 +
:'''Click [[ECE_PhD_QE_CNSIP_Jan_2006_Problem1.3|here]] to view student [[ECE_PhD_QE_CNSIP_Jan_2006_Problem1.3|answers and discussions]]'''
 
----
 
----
 
[[ECE_PhD_Qualifying_Exams|Back to ECE Qualifying Exams (QE) page]]
 
[[ECE_PhD_Qualifying_Exams|Back to ECE Qualifying Exams (QE) page]]

Latest revision as of 09:24, 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

Followed her dream after having raised her family.

Ruth Enoch, PhD Mathematics