EE 376A/Stat 376A Prof. T. Weissman
Information Theory Thursday, February 8, 2007
Midterm 1. (35 points) Throwing a die Suppose you have a die with three sides. given as 1, 2, X= 3,
The probability of outcome of each side is w.p. 1/2 w.p. 1/3 w.p. 1/6
You
EE 376A/Stat 376A Information Theory Prof. T. Cover
Handout #17 Tuesday, February 15, 2011
Solutions to Homework Set #5
1. Bad codes. Which of these codes cannot be Huffman codes for any probability assignment? (a) cfw_1, 01, 00. (b) cfw_00, 01, 10, 110.
EE 376A Information Theory Prof. T. Cover
Handout #21 Tuesday, March 1, 2011
Solutions to Homework Set #6 1. Postprocessing the output. One is given a communication channel with transition probabilities p(y | x) and channel capacity C = max I(X; Y ). A he
EE 376A Information Theory Prof. T. Cover
Handout #24 Thursday, March 10, 2011
Solutions to Homework Set #7
1. Source and channel. We wish to encode a Bernoulli() process V1 , V2 , . . . for transmission over a binary symmetric channel with error probabil
Controller Design via
Specier/Implementer Interface:
General Idea and Two Examples
Stephen Boyd
Jolle Skaf
e
Information Systems Laboratory
Electrical Engineering Department
Stanford University
MURI Review, UCB, 10/14/08
Standard control/system design
co
Model Predictive Control
linear convex optimal control
nite horizon approximation
model predictive control
fast MPC implementations
supply chain management
Prof. S. Boyd, EE364b, Stanford University
Linear time-invariant convex optimal control
minimi