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| − | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{blue}\text{ Let X, Y, and Z be three jointly distributed random variables with joint pdf} f_{XYZ}\left ( x,y,z \right )= \frac{3z^{2}}{7\sqrt[]{2\pi}}e^{-zy} exp \left [ -\frac{1}{2}\left ( \frac{x-y}{z}\right )^{2} \right ] \cdot 1_{\left[0,\infty \right )}\left(y \right )\cdot1_{\left[1,2 \right]} \left ( z \right) </math></span></font> | + | <font color="#ff0000"><span style="font-size: 19px;"><math>\color{blue}\text{ Let X, Y, and Z be three jointly distributed random variables with joint pdf } f_{XYZ}\left ( x,y,z \right )= \frac{3z^{2}}{7\sqrt[]{2\pi}}e^{-zy} exp \left [ -\frac{1}{2}\left ( \frac{x-y}{z}\right )^{2} \right ] \cdot 1_{\left[0,\infty \right )}\left(y \right )\cdot1_{\left[1,2 \right]} \left ( z \right) </math></span></font> |
| − | '''<math>\color{blue}\left( \text{a} \right) \text{ Find the joint probability density function } f_{YZ}(y,z).</math>'''<br> | + | '''<math>\color{blue}\left( \text{a} \right) \text{Find the joint probability density function } f_{YZ}(y,z).</math>'''<br> |
<math>\color{blue}\left( \text{b} \right) \text{Find} | <math>\color{blue}\left( \text{b} \right) \text{Find} | ||
Revision as of 08:39, 27 July 2012
ECE Ph.D. Qualifying Exam in Communication Networks Signal and Image processing (CS), Question 1, August 2011
Question
Part 1. 25 pts
$ \color{blue}\text{ Let X, Y, and Z be three jointly distributed random variables with joint pdf } f_{XYZ}\left ( x,y,z \right )= \frac{3z^{2}}{7\sqrt[]{2\pi}}e^{-zy} exp \left [ -\frac{1}{2}\left ( \frac{x-y}{z}\right )^{2} \right ] \cdot 1_{\left[0,\infty \right )}\left(y \right )\cdot1_{\left[1,2 \right]} \left ( z \right) $
$ \color{blue}\left( \text{a} \right) \text{Find the joint probability density function } f_{YZ}(y,z). $
$ \color{blue}\left( \text{b} \right) \text{Find} f_{x}\left( x|y,z\right ). $
$ \color{blue}\left( \text{c} \right) \text{Find} f_{Z}\left( z\right ). $
$ \color{blue}\left( \text{d} \right) \text{Find} f_{Y}\left(y|z \right ). $
$ \color{blue}\left( \text{e} \right) \text{Find} f_{XY}\left(x,y|z \right ). $
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Part 2. 25 pts
$ \color{blue} \text{Show that if a continuous-time Gaussian random process } \mathbf{X}(t) \text{ is wide-sense stationary, it is also strict-sense stationary.} $
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