Stber, Gordon L. Principles of Mobile Communication. New York, NY, USA: Springer, 2011. ProQuest ebrary. Web. 17 February 2015.
Copyright 2011. Springer. All rights reserved.
Stber, Gordon L. Principles of Mobile Communication. New York, NY, USA: Springer
CHAPTER
Discrete Random
Variables
3
In most random experiments we are interested in a numerical attribute of the outcome
of the experiment. A random variable is defined as a function that assigns a numerical
value to the outcome of the experiment. In this
DIRECTIVES FOR THE ZYEN UNVERSITY STUDENT DORMITORIES
SECTION ONE
GENERAL PROVISIONS
Purpose
Article 1
The aim of these rules and regulations is to fulfill the needs of students residing at zyein University
dormitories, ease their academic life by providi
United States Department of State
Bureau of Consular Affairs
VISA BULLETIN
Number 78 Volume IX
Washington, D.C.
IMMIGRANT NUMBERS FOR MARCH 2015
A.
STATUTORY NUMBERS
This bulletin summarizes the availability of immigrant numbers during March.
Consular off
International Journal of Electronics and Computer Science Engineering
Available Online at www.ijecse.org
ISSN- 2277-1956
Comparison of various detection algorithms in a
MIMO wireless communication receiver
,
Dhruv Malik 1 , Deepak Batra 2
Department of El
SIMON & SCHUSTERS
PIMSLEUR
TURKISH
reading booklet
Travelers should always check with their
nation's State Department for current
advisories on local conditions before
traveling abroad.
Graphic Design: Maia Kennedy
and Recorded Program 2006 Simon & Schus
Performance Evaluation of Equal Gain Diversity Systems In Fading Channels
by Ramanathan Viswanathan Thesis submitted to the Faculty of the Virginia Polytechnic Institute and State University partial fulfillment of the requirements for the degree of MASTER
Solution Manual for Mobile Communications 2nd ed.
Jochen H. Schiller, Freie Universitt Berlin, Germany
schiller@computer.org, www.jochenschiller.de
1. Introduction
1.1
Good
sources
for
www.gsmworld.com,
subscriber
numbers
www.3gpp.org,
and
other
www.3gpp2
Note: Handouts DO NOT replace the book. guideline on topics and an intuitive feel.
In most cases, they only provide a
1
Random Variable: Topics
Chap 2, 2.1 - 2.4 and Chap 3, 3.1 - 3.3 What is a random variable? Discrete random variable (r.v.) Probability
CS 231A Computer Vision (Autumn 2012)
Problem Set 0
Grading Set
Due: Oct. 2, 2012 (2:15 pm)
1
Monty Hall (20 points)
In Computer Vision, probability is a widely used mathematical tool to solve problems ranging from low-level to high-level vision. This exe
Proof Assignment #3
1.(2 points) Prove that if A and B are independent, so are:
(a) A and B c .
Since A and B are independent, we know from a theorem that we proved in class that
P (A B) = P (A) P (B). There are two key facts (both of which were proven in
A QURESHI et al: COMBINING SIGNALS BY WEIGHTED LEAST SQUARE ERROR METHOD . . .
Combining Signals by Weighted Least Square Error Method for
Wireless Communication Networks
Athar Qureshi
Ramkumar Balasubramanyam
Medway School of Engineering
Tthe University
Monte Carlo Simulation of BER for Slow Flat
Rayleigh Fading Channels
Aniruddha Chandra
Department of Electronics and Telecommunication Engineering,
Jadavpur University, Kolkata - 700032.
cfw_aniruddha_c@rediffmail.com
Abstract: In this paper, Monte Carlo
MAXIMAL RATIO COMBINING
PROJECT REPORT
Submitted by
RAVI KUMAR
IN
AVIONICS BRANCH
INDIAN INSTITUTE OF SPACE SCIENCE AND TECHNOLOGY
THIRUVANANTHAP URAM
JULY 2011
1
ABSTRACT
Maximal Ratio Combining is a combining method used in diversity technique. In this
m
DESiGN METHODOLOGIES FOR
ADAPTIVE AND MULTIMEDIA NETWORKS
Shallow Water Acoustic
John G. Proakis and Ethem M. Sozer, Northeastern University
Joseph A. Rice, SPAWAR Systems Center, San Diego
Milica Stojanovic, Massachusetts Institute of T
THE UNIVERSITY OF HONG KONG
FACULTY OF ENGINEERING
DEPARTMENT OF COMPUTER SCIENCE
CSIS 7304
The Wireless Internet and Mobile Computing
Date: July 12, 2006
Question
1
2
3
4
5
Total
Student Name:
Student Number:
(Midterm Examination)
Time: 7:00pm 9:00pm
Poi
Throughput Optimization Using
Adaptive Techniques
Taesang Yoo , Richard J. Lavery , Andrea Goldsmith , and David J. Goodman
Dept. of Electrical Engineering
Stanford University, Stanford, CA 94305
Email: cfw_yoots, andrea@stanford.edu
Tel: 1-650-724-4796
EE359 Lecture 11 Outline
Announcements
Class
project websites posted (please check).
Will have comments back within a week.
Midterm announcements
No HW next week (practice MTs)
ISI
Performance Effects
Introduction to Diversity
Combining Techniques
International Association of Scientific Innovation and Research (IASIR)
(An Association Unifying the Sciences, Engineering, and Applied Research)
ISSN (Print): 2279-0047
ISSN (Online): 2279-0055
International Journal of Emerging Technologies in Computatio
ICCSPA15
Second International Conference on
Communications, Signal Processing and their
Applications
February 1619, 2015
Sharjah, United Arab Emirates
Sponsors:
General Information
Registration
The registration desk will be open every day of the conferenc
M-QAM Error Performance with Equal Gain
Diversity over Rayleigh Fading Channel
Aniruddha Chandra
Soumendra Nath Datta
Chayanika Bose
Manas Kr. Bose
E.C.E. Department
N.I.T. Durgapur
W.B., India
aniruddha.chandra@nitdgp.ac.in
E.C.E. Department
N.I.T. Durga
Homework 8 (Math/Stats 425, Winter 2013)
Due Tuesday April 16, in class
1. A man and a woman agree to meet at a certain location at about 12:30 p.m. Suppose the man
arrives at a time uniformly distributed between 12:15 and 1:00, and the woman independentl
UCSD ECE153
Prof. Young-Han Kim
Handout #7
Wednesday, January 21, 2015
Weekly Exercise Set #3
1. Let A be a nonzero probability event A. Show that
(a) P(A) = P(A|X x)FX (x) + P(A|X > x)(1 FX (x).
P(A|X x)
FX (x).
(b) FX (x|A) =
P(A)
2. Joint cdf or not. C
UCSD ECE250
Prof. Young-Han Kim
Handout #6
Wednesday, January 21, 2015
Solutions to Exercise Set #2
(Prepared by TA Fatemeh Arbabjolfaei)
1. Jurors fallacy. Suppose that P (A|B) P (A) and P (A|C) P (A). Is it always true that
P (A|B, C) P (A) ? Prove or p