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*[[Suan-Aik Yeo 7.1_ECE302Fall2008sanghavi]] | *[[Suan-Aik Yeo 7.1_ECE302Fall2008sanghavi]] | ||
*[[Spencer Mitchell 7.1_ECE302Fall2008sanghavi]] | *[[Spencer Mitchell 7.1_ECE302Fall2008sanghavi]] | ||
| + | *[[Hamad Al Shehhi_ECE302Fall2008sanghavi]] //comment to Spencer | ||
*[[Arie Lyles 7.1_ECE302Fall2008sanghavi]] //comment by Jared McNealis | *[[Arie Lyles 7.1_ECE302Fall2008sanghavi]] //comment by Jared McNealis | ||
*[[Anand Gautam 7.1_ECE302Fall2008sanghavi]] | *[[Anand Gautam 7.1_ECE302Fall2008sanghavi]] | ||
Revision as of 16:48, 21 October 2008
Contents
Instructions
Homework 7 can be downloaded here on the ECE 302 course website.
Problem 1: Arbitrary Random Variables
Let $ F $ be a non-decreasing function with
$ \lim_{x\rightarrow -\infty} F(x) = 0 \mbox{ and } \lim_{x\rightarrow +\infty} F(x) = 1. $
Let $ U $ be a uniform random variable on [0,1].
- (a) Let $ X = F^{-1}(U) $. What is the CDF of $ X $? (Note $ F^{-1} $ is the inverse of $ F $. A function $ g $ is the inverse of $ F $ if $ F(g(x)) = x $ for all $ x $)
- (b)How can you generate an exponential random variable from $ U $?
- Michael Allen 7.1_ECE302Fall2008sanghavi
- Suan-Aik Yeo 7.1_ECE302Fall2008sanghavi
- Spencer Mitchell 7.1_ECE302Fall2008sanghavi
- Hamad Al Shehhi_ECE302Fall2008sanghavi //comment to Spencer
- Arie Lyles 7.1_ECE302Fall2008sanghavi //comment by Jared McNealis
- Anand Gautam 7.1_ECE302Fall2008sanghavi
- Monsu Mathew 7.1_ECE302Fall2008sanghavi
Problem 2: Gaussian Generation
The most popular random number generator in the computer language C is drand48; a call
X = drand48()
results in X being a uniform random variable on [0,1]. How can you generate a gaussian random variable in C using drand48 ? (Hint: use 1(b) above, and problem 4 of HW 6. Consider generating a variable $ D $ as in problem 4 of HW6, along with another variable and relating these two to the Gaussian $ X $ or $ Y $ defined in that problem.)
- Andrew Hermann_ECE302Fall2008sanghavi (reply/discussion: Brian Thomas)
- Kristin Wing_ECE302Fall2008sanghavi
- Anand Gautam_ECE302Fall2008sanghavi
- Seraj Dosenbach_ECE302Fall2008sanghavi
- Daniel Truax_ECE302Fall2008sanghavi
- Emir Kavurmacioglu_ECE302Fall2008sanghavi
Problem 3: A Random Parameter
A coin machine spits out a coin with a random bias $ Q $. $ Q=q $ means that the probability of heads for that coin is $ q $. The PDF of $ Q $ is $ f_Q(q) = 2q $ for $ 0 \leq q \leq 1 $. Jack tosses the coin once, and it lands heads. He then tosses the coin again. What is the probability that it will land heads again the second time, given that it landed heads the first time?
- Suan-Aik Yeo 6.1_ECE302Fall2008sanghavi
- Priyanka Savkar 7.3_ECE302Fall2008sanghavi
- Justin Mauck 7.3_ECE302Fall2008sanghavi
- Gregory Pajot 7.3_ECE302Fall2008sanghavi
- Patrick M. Avery Jr. 7.3_ECE302Fall2008sanghavi
- Divyanshu Kamboj 7.3_ECE302Fall2008sanghavi
- Ken Pesyna 7.3_ECE302Fall2008sanghavi
- Junzhe Geng 7.3_ECE302Fall2008sanghavi
Problem 4: Debate Date
Hillary and Barack are to have a date. The time of arrival of each person is an exponential random variable with parameter $ \lambda $, and the two variables ($ H $ and $ B $ for Hillary and Barack, respectively) are independent. What is the PDF of the time between their two arrivals? (Note: this time is always positive) (Hint: it is easier to first find the PDF of $ Z = B - H $.)
7.4 Joon Young Kim_ECE302Fall2008sanghavi
7.4 Ben Carter_ECE302Fall2008sanghavi
7.4 Divyanshu Kamboj_ECE302Fall2008sanghavi
7.4 Shao-Fu Shih_ECE302Fall2008sanghavi
