Lecture 25 Blog, ECE302 Spring 2013, Prof. Boutin

Wednesday March 6, 2013 (Week 9) - See Course Outline.

(Other blogs 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30)


In Lecture 25, we continued talking about the conditional density function. In particular, we covered the example of a uniform distribution on a circle of radius r. We also saw the definition of conditional density when the condition is an event B (instead of the event "random variable Y=y").

Please try out the related problem below and let me know whether the definition is clear. (Feel free to write comments/questions directly below the problem if it is not clear.)


Action items for students (to be completed before next lecture)


Previous: Lecture 24

Next: Lecture 26


Back to 2013 Spring ECE302 Boutin

Alumni Liaison

BSEE 2004, current Ph.D. student researching signal and image processing.

Landis Huffman