EE581 Mobile Satellite Communication: Fall 2010
Homework #1:
Orbital Mechanics:
Due Date: Oct 25, 2010
Question 1
Question 2
Question 3
Total Points=50
Question 4
Which type of satellite orbit provides the best performance for a communications network for
Optical Satellite Communication
hf
CHAPTER 1
INTRODUCTION
Communication links between space crafts is an important
element of space infrastructure, particularly where such links allow a
major reduction in the number of earth stations needed to service the
Laser Satellite Communication
Group Members
Muhammad Fahad Zia
101650-021
Muhammad Basit Shahab
091450-042
Introduction
Lasers are one of the most significant inventions of
the 20th century.
The word laser is an acronym for Light amplification
by stim
Satellite Communication
Lecture 6
Direct-to-Home Satellite Television
Broadcasting and S-DARS
http:/web.uettaxila.edu.pk/CMS/teSCms/
Introduction
DTH Systems
Overview
DTH Systems Architecture
Basic Elements of DTH System and Signal Flow
Compression System
The Satellite Communication
Applications Handbook
For more information click HERE
Contact NavtechGPS at (703) 256-8900 or (800) 628-0885
Bruce R. Elbert
Navtech Part # 1110
Table of Contents
Preface
xv
Part I Systems Considerations
Chapter 1
Evolution of
Expected values (moments) of a zero-mean Gaussian Random Variable:
0,
n odd
E x n = x n p( x) dx = x n e k dx = n! k n2+1 12 , n even
2 n ( n2 )!
cfw_
where
=
1
2 2
x2
, k = 2 2
Examples:
n = 0, Ecfw_1 = 1
n = 1, Ecfw_x = 0
cfw_
E cfw_x = 3
n = 2, E
RESEARCH REPORTS
Free Space Optical Laser Communication Link
Andrew W. Rebeiro and Rodney Tan
School of Engineering, UCSI
[email protected]
ABSTRACT
A Free Space Optical (FSO) LASER Communication Link is presented. This project deals with the developmen
Laboratory 5
Due March 31, 11 PM
This week we will look at signals from the AM band, write an AM receiver as an m-le, and listen to the
demodulated signals.
The data was captured using a Universal Software Radio Peripheral (USRP). This is an opensource pr
Lecture 5: Linear Systems and Convolution
2. Linear systems, Convolution (3 lectures): Impulse
response, input signals as continuum of
impulses. Convolution, discrete-time and
continuous-time. LTI systems and convolution
Specific objectives for today:
Wer
Lecture 19: Discrete-Time Transfer Functions
7 Transfer Function of a Discrete-Time Systems (2
lectures): Impulse sampler, Laplace transform of
impulse sequence, z transform. Properties of the z
transform. Examples. Difference equations and
differential e
The Fourier Series
Page 1 of 8
The Fourier Series
Introduction
Derivation
Examples
Aperiodicity
Printable
Contents
Motivation
Examples: Functions as Sums of Sinusoids
Example: The Square Wave as a Sum of Sinusoids
Example: The Triangle Wave as a Sum o
Lecture 17: Continuous-Time Transfer
Functions
6 Transfer Function of Continuous-Time Systems (3
lectures): Transfer function, frequency response, Bode
diagram. Physical realisability, stability. Poles and
zeros, rubber sheet analogy.
Specific objectives
Lecture 7: Basis Functions & Fourier
Series
3. Basis functions (3 lectures): Concept of basis
function. Fourier series representation of time
functions. Fourier transform and its properties.
Examples, transform of simple time functions.
Specific objective
Lecture 6: Linear Systems and Convolution
2. Linear systems, Convolution (3 lectures): Impulse
response, input signals as continuum of impulses.
Convolution, discrete-time and continuous-time. LTI
systems and convolution
Specific objectives for today:
Pr
Lecture 3: Signals & Systems Concepts
Systems, signals, mathematical models. Continuoustime and discrete-time signals. Energy and power
signals. Linear systems. Examples for use
throughout the course, introduction to Matlab and
Simulink tools.
Specific ob
Lecture 2: Signals Concepts & Properties
(1) Systems, signals, mathematical models.
Continuous-time and discrete-time signals.
Energy and power signals. Linear systems.
Examples for use throughout the course, introduction
to Matlab and Simulink tools
Spec
Lecture 18: Discrete-Time Transfer Functions
7 Transfer Function of a Discrete-Time Systems (2
lectures): Impulse sampler, Laplace transform of
impulse sequence, z transform. Properties of the z
transform. Examples. Difference equations and
differential e
6
Systems Represented by
Differential and
Difference Equations
An important class of linear, time-invariant systems consists of systems represented by linear constant-coefficient differential equations in continuous
time and linear constant-coefficient di
2
Signals and Systems:
Part I
In this lecture, we consider a number of basic signals that will be important
building blocks later in the course. Specifically, we discuss both continuoustime and discrete-time sinusoidal signals as well as real and complex
7
Continuous-Time
Fourier Series
In representing and analyzing linear, time-invariant systems, our basic approach has been to decompose the system inputs into a linear combination of
basic signals and exploit the fact that for a linear system the response
1
Introduction
This first lecture is intended to broadly introduce the scope and direction of
the course. We are concerned, of course, with signals and with systems that
process signals. Signals can be categorized as either continuous-time signals,
for wh
UNIVERSITY OF ENGINEERING AND TECHNOLOGY, PESHAWAR
Department of Telecommunication Engineering
TE-207: Signals and Systems
ASSIGNMENT 5
Issued: December 19, 2012
Due: December 25, 2012
Problem 1
O&W 4.36
Problem 2
O&W 8.22
Problem 3
O&W 8.26
Problem 4
O&W