(Instructions)
(Problem 1: Arbitrary Random Variables)
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== Problem 1: Arbitrary Random Variables ==
 
== Problem 1: Arbitrary Random Variables ==
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Let <math>F</math> be a non-decreasing function with
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<math>lim_{x\rightarrow -\infty} F(x) = 0
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\mbox{ and } \lim_{x\rightarrow +\infty} F(x) = 1.</math>
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Let $U$ be a uniform random variable on $[0,1]$.
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\begin{enumerate}
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\item 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 $x$)
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\item How can you generate an exponential random variable from $U$?
  
 
== Problem 2: Gaussian Generation ==
 
== Problem 2: Gaussian Generation ==

Revision as of 07:59, 15 October 2008

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 $[0,1]$. \begin{enumerate} \item 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 $x$) \item How can you generate an exponential random variable from $U$?

Problem 2: Gaussian Generation

Problem 3: A Random Parameter

Problem 4: Debate Date

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva