1
CLASS 4
(Sections 1.5-1.6)
Continuous-time and discrete-time systems
Physically, a system is an interconnection of components, devices, etc., such as a computer or an
aircraft or a power plant.
Conceptually, a system can be viewed as a black box which t
Department of Electrical Engineering EE 308: Communication Systems (Spring 2009) Course Instructor: Prof. Abhay Karandikar
Problem Set 3 1. Let xc (t) = Ac cos [2fc t + (t)] and xi (t) = Ai cos [2fc t + i (t)] be any two bandpass Ai signals with = Ac . (a
Department of Electrical Engineering EE 308: Communication Systems (Spring 2009) Course Instructor: Prof. Abhay Karandikar
Solutions to Problem Set 2 1. Since Xc (f ) = we have Ac [M(f - fc ) + M(f + fc )] H(f ), 2 The output of the product modulator is V
Department of Electrical Engineering EE 308: Communication Systems (Spring 2009) Course Instructor: Prof. Abhay Karandikar
Problem Set 2 1. An AM signal xc (t) = Ac cos(2fc t)m(t) is passed through a filter of impulse response h(t), resulting in an output
Department of Electrical Engineering EE 308: Communication Systems (Spring 2009) Course Instructor: Prof. Abhay Karandikar
Solutions to Problem Set 1 1. What is the Fourier transform of a function that is (a) Real and even? (b) Real and odd? (c) Imaginary
Department of Electrical Engineering EE 308: Communication Systems (Spring 2009) Course Instructor: Prof. Abhay Karandikar
Problem Set 1 1. What is the Fourier transform of a function that is (a) Real and even? (b) Real and odd? (c) Imaginary and even? (d
Department of Electrical Engineering EE 308: Communication Systems (Spring 2009) Solutions to Class Test 2 07/02/2009
1. A signal x(t) = Am cos(2fm t) is amplitude modulated with carrier Ac cos(2fc t). The maximum possible value of modulation index is The
Department of Electrical Engineering EE 308: Communication Systems (Spring 2009) Course Instructor: Prof. Abhay Karandikar
Solutions to Quiz 1 The envelope of the amplitude modulated signal should be positive for all t. Therefore, the given signal needs t
Differential PCM Lecture Notes & Examples
John Leis April 3, 2006
1
Differential Quantization
PCM = pulse-code modulation. Used to describe simple A/D conversion. DPCM = differential PCM, ie take the difference and transmit that. Since the differences is
Chapter 6. Quantization
To convert an analog signal to a digital signal, the following three procedures are required. First, the signal is passed through a lowpass filter to prevent aliasing. Second, the signal is sampled by a sample-and-hold circuit. Fin
Department of Electrical Engineering EE 308: Communication Systems (Spring 2009) Course Instructor: Prof. Abhay Karandikar
Solutions to Problem Set 1 1. Let xc (t) = Ac cos [2fc t + (t)] and xi (t) = Ai cos [2fc t + i (t)] be any two bandpass Ai signals w
Department of Electrical Engineering EE 308: Communication Systems (Spring 2009) Course Instructor: Prof. Abhay Karandikar
Problem Set 4 1. Figure 1 shows the idealized spectrum of a message signal m(t). The signal is sampled at a rate 1 kHz using PAM, wi
Department of Electrical Engineering EE 308: Communication Systems (Spring 2009) Course Instructor: Prof. Abhay Karandikar
Solutions to Problem Set 4 1. Solution: The spectrum of the PAM signal is given by
S(f ) = fs H(f )
k=-
M(f - kfs )
(1)
where f 800
290
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 3, NO. 1, JANUARY 2004
On the Performance of Efficient Coding Techniques
Over Fading Channels
Fulvio Babich, Senior Member, IEEE
AbstractThe authors propose an analytical method, based on
the sphere-p
High-Rate Serially Concatenated Codes Using
Hamming Codes
Motohiko Isaka
Dept. of Informatics
Kwansei Gakuin University
Sanda 6691337, Japan
Email: <lastname>@ieee.org
Abstract This paper studies (very) high-rate serially concatenated codes employing rate
SmartFaire - Game Rules
LCD SCREEN
ONE PLAYER
BUTTON
TWO PLAYER
BUTTON
GAME
BUTTONS
SPEAKER
There are 2 games on the SmartFaire.
Press the single player button to play Follow Me or the two player button to play Speed. You can press
any of the other lit bu
International Journal of Scientific & Technology Research Volume 1, Issue 4, May 2012
ISSN 2277-8616
Performance Analysis of Modulation
Techniques in GA assisted CDMA Wireless
Communication System with AWGN Rayleigh Fading
Channel
Jigna Desai, Dr.K.G.Mara
University of Wollongong
Research Online
Faculty of Engineering - Papers (Archive)
Faculty of Engineering and Information Sciences
2009
Serially concatenated turbo codes
S. Vafi
University of Wollongong, sina@uow.edu.au
Tadeusz A. Wysocki
University of Ne
International Journal of Electronics and Communication Engineering.
ISSN 0974-2166 Volume 5, Number 3 (2012), pp. 235-244
International Research Publication House
http:/www.irphouse.com
Performance Evaluation and Comparative Analysis
of Various Concatena
IRACST International Journal of Computer Networks and Wireless Communications (IJCNWC), ISSN: 2250-3501
Vol.4, No2, April 2014
Comparative Analysis of Different Channel
Coding Techniques
Jayshree S. Nandaniya
Student, M.Tech(EC)
SOE,RK University
Rajkot,
Wireless Communications with
Matlab and Simulink: IEEE802.16
(WiMax) Physical Layer
by
Roberto Cristi
Professor
Dept of Electrical and Computer Engineering
Naval Postgraduate School
Monterey, CA 93943
August 2009
Table of Content:
1. Introduction: WiMax,
Source Coding with Decoder Side Information
Presenter: Shivaprasad Kotagiri. Date: 27 September 2006. Reading: Elements of Information theory by Cover & Thomas [1, Secs 14.8 and 14.9] and Wyner-ziv paper [2]
1
Introduction
In this report, we study source
5
Huffman 20 Questions
there are 2n possible sequences. Let bk be the bit representation of the number k(in decimal). Let bki be the ith bit(0 or 1),starting from the LSB for the number k So the probability of the k th combination(of defective and good) w
Department of Electrical Engineering EE 308: Communication Systems (Spring 2009) Solutions to Midsem
1. (a) Since p(t) is a periodic signal with period series of the form: a0 + p(t) = 2 Since xc (t) = x(t) cos(2fc t),
X(f ) Xc (f ) k=1 1 , fc
it can be re
Information-Theoretic Strategies for Quantifying Variability and Model-Reality Comparison in the Climate System
1,2,3
J. W. Larson
1
Mathematics and Computer Science Division, Argonne National Laboratory 9700 S. Cass Avenue, Argonne, IL 60439, USA E-Mail:
Classical Information Theory
(Notes for Course on Quantum Computation and Information Theory. Sec. 11)
Robert B. Griffiths Version of 17 Feb. 2003
References: CT = Cover and Thomas, Elements of Information Theory (Wiley, 1991): chapters 2, 3, and 8. QCQI
EE 308: Communication Systems Assignment 3
Note: All the above problems were taken from Simon Haykin, "Communication Systems", Wiley &
Sons, 3rd ed., 1994.