ECE4110 Cornell University
Homework 1
Fall 09 T.L. Fine
This assignment is to be handed in at the end of class on Thursday, 3 September. 1. (a) Describe the ranges (sets of possible values) of the random variables cfw_Xt , t T and the index set T for the
Random Signals in Communications and Signal Processing
ECE 4110

Fall 2013
Brandon Wu
btw46@cornell.edu
ECE 4670 Fall 2013
Lab#1
Environment:
Filter serial number: 0021
Signal source: Laptop (Win8)
Signal sink: PC (Olin library)
Software: Matlab 2012a, Audacity
Impulse Response:
Impulse Response view in Audacity
Zoom in (each po
ECE4110 Cornell University
General Information
Fall 2009 T.L.Fine
CATALOG DESCRIPTION: ECE 4110 Random Signals in Communications and Signal Processing Fall. 4 credits. Prerequisite: ECE 2200 and ECE 3100 or equivalent. Introduction to models for random si
Random Signals in Communications and Signal Processing
ECE 4110

Fall 2013
ECE 4110: Random Signals in Communications and
Signal Processing
ECE department, Cornell University, Fall 2013
Instructor: Stephen Wicker
Homework 1
Due September 13 at 5:00 p.m.
1. (Axioms of Probability) Prove the union bound:
n
P [n=1 Ak ]
k
P [Aj ].
LECTURE NOTES Course 6.0416.431 M.I.T. FALL 2000
Introduction to Probability
Dimitri P. Bertsekas and John N. Tsitsiklis
Professors of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge, Massachusetts
These notes
ECE4110 Cornell University
Lecture: 27 Aug
Fall 09 T.L. Fine
1. Course Organization (1) Discuss the General Information handout with the class. (2) RH312 for oce hour from 4pm to 5pm on Wednesdaysjust prior to homeworks due on Thursday and prelims on Thur
ECE4110 Cornell University
Lectures: 1&3 Sep
Fall 09 T.L. Fine
A second denition of a random process is perhaps more constructive in that it brings out a random process as a randomly selected function of its index parameter (e.g., time, space). Denition 1
ECE4110 Cornell University
Homework 2
Fall 09 T.L. Fine
This assignment is to be handed in at the end of class on Thursday, 10 September. 1. A random process XT , T = N, has mutually independent random variables with common cdf F satisfying (x R) 1 > F (x
Dow Jones Industrial Average
SM
Fact Sheet
Stated Objective
To represent large and wellknown U.S. companies. Covers all industries with the exception of Transportation and Utilities.
Key Features
Components are selected at the discretion of The Wall Str
Random Signals in Communications and Signal Processing
ECE 4110

Fall 2013
ECE 3250
HOMEWORK ASSIGNMENT I
Fall 2013
1. Find, read, and try to understand a proof of the SchrderBernstein Theorem, which
o
states: Let A and B be sets. If there exists an injective mapping f : A B and an
injective mapping g : B A, then there exists a