Ho Chi Minh City University of Technology
Faculty of Electrical and Electronics Engineering
Department of Telecommunications
Source Coding
Lectured by Ha Hoang Kha, Ph.D.
Ho Chi Minh City University of Technology
Email: [email protected]
Content
PCM
University of Illinois
Fall 2009
ECE 313: Problem Set 9: Solutions Continuous Random Variables
1. [Validity of PDFs] If f (u) is a nonnegative (or nonpositive) function with nite nonzero area A, then A1 f (u) is a valid pdf. This does not work if f (u) ta
University of Illinois
Fall 2009
ECE 313: Problem Set 11: Solutions Poisson Processes; Function of a Random Variable; Decision-Making
1. [Conditional Probabilities in a Poisson Process] From the denition of conditional probability, P cfw_N(0, ] = k | N(0,
University of Illinois
Fall 2009
ECE 313: Problem Set 10: Solutions Exponential and Gaussian Random Variables; Poisson Processes
1. [Reliability function of a triple-modular-redundancy (TMR) system] (a) It is easy to see that cfw_Y > T = [cfw_X1 > T cfw
University of Illinois
Fall 2009
ECE 313:
Hour Exam II
Monday November 16, 2009 7:00 p.m. 8:00 p.m. 100 Materials Science and Engineering Building
1. [15 points] Messages can be transmitted between Champaign-Urbana and Springeld either directly or via Dec
University of Illinois
Fall 2009
ECE 313: Problem Set 14 Conditional Distributions; Covariance and Correlation
Due: Reading: Noncredit exercises: Wednesday December 9 at 4 p.m. Ross, Chapter 7, Sections 1-5; Chapter 8, Sections 1-4 Powerpoint Lecture Slid
University of Illinois
Fall 2009
ECE 313: Problem Set 13 Functions of Random Variables
Due: Reading: Noncredit Exercises: Friday December 4 at 4 p.m. Ross, Chapter 6 except Sections 6.6 and 6.8; Powerpoint Lecture Slides, Sets 34-37 Chapter 6: Problems 26
University of Illinois
Fall 2009
ECE 313: Problem Set 12 Joint Distributions of Random Variables
Due: Reading: Noncredit Exercises: Reminder: Wednesday November 18 at 4 p.m. Ross, Chapter 6, Sections 1-4; Powerpoint Lecture Slides, Sets 30-34 Chapter 6: P
University of Illinois
Fall 2009
ECE 313: Problem Set 11 Poisson Processes; Function of a Random Variable; Decision-Making
Due: Reading: Noncredit Exercises: Wednesday November 11 at 4 p.m. Ross, Chapter 5; Powerpoint Lecture Slides, Sets 25-29 Chapter 5:
ELECTRONIC CIRCUITS
COMMUNICATIONS
ELECTRONICS
AND FOR
COMMUNICATIONS
Chapter 2
Transceiver Architectures
Huynh Phu Minh Cuong
[email protected]
Department of Telecommunications
Faculty of Electrical and Electronics Engineering
Ho Chi Minh city Univer
ELECTRONICS
AND FOR
COMMUNICATIONS
ELECTRONIC CIRCUITS
COMMUNICATIONS
Chapter 1
Introduction to RF Communication Systems
Huynh Phu Minh Cuong
[email protected]
Department of Telecommunications
Faculty of Electrical and Electronics Engineering
Ho Chi M
ELECTRONIC CIRCUITS FOR COMMUNICATION
Chapter 4
Passive Components, Resonators and Impedance Matching
Huynh Phu Minh Cuong
[email protected]
Department of Telecommunications
Faculty of Electrical and Electronics Engineering
Ho Chi Minh city University
DIGITAL MODULATION
TECHNIQUES
Digital Modulation Formats
Modulation is defined as the process by which
some characteristic of a carrier is varied in
accordance with a modulating wave
With a sinusoidal carrier, the feature that is
used by the modulator to
Ho Chi Minh City University of Technology
Faculty of Electrical and Electronics Engineering
Department of Telecommunications
Baseband Transmission
Lectured by Ha Hoang Kha, Ph.D.
Ho Chi Minh City University of Technology
Email: [email protected]
Baseba
Chapter 4
Error Control Coding
Ha Hoang Kha, Ph.D.
Ho Chi Minh City University of Technology
Email: [email protected]
Channel coding
Error Control Coding
2
Ha H. Kha, Ph.D.
Channel coding
Error-control coding involves systematic addition of extra digits
Signal Encoding
and Modulation Techniques
1/45
Encoding and Modulation Techniques
2/45
Digital Signaling Versus Analog Signaling
Digital signaling
Digital or analog data is encoded into a digital signal
Encoding may be chosen to conserve bandwidth or t
Ho Chi Minh City University of Technology
Faculty of Electrical and Electronics Engineering
Department of Telecommunications
Signal Space and Detection
Lectured by Ha Hoang Kha, Ph.D.
Ho Chi Minh City University of Technology
Email: [email protected]
S
ELECTRONIC CIRCUITS FOR COMMUNICATION
Chapter 3
Noise and Nonlinear Distortion
Huynh Phu Minh Cuong
[email protected]
Department of Telecommunications
Faculty of Electrical and Electronics Engineering
Ho Chi Minh city University of Technology
Cuong Hu
University of Illinois
Fall 2009
ECE 313: Problem Set 10 Exponential and Gaussian Random Variables; Poisson Processes
Due: Reading: Noncredit Exercises: Wednesday November 4 at 4 p.m. Ross, Chapter 5; Powerpoint Lecture Slides, Sets 24-27 Qfunction : Note
University of Illinois
Fall 2009
ECE 313: Problem Set 9 Continuous Random Variables
Due: Reading: Noncredit Exercises: Wednesday October 28 at 4 p.m. Ross, Chapter 5; Powerpoint Lecture Slides, Sets 22-24 Chapter 5: Problems 1-3, 5, 6, 15-19, 23-25, 32-34
University of Illinois
Fall 2009
ECE 313: Problem Set 12: Solutions Joint Distributions of Random Variables
1. [Joint pmfs] (a) The marginal pmfs pX (u) and pY (v ) are column and row sums as shown in the table below. u v 4 3 -1 Column sum 0 0 1/6 1/12 1/
University of Illinois
Spring 2010
ECE 313: Problem Set 9: Problems and Solutions Probability Density, Poisson Processes
Due: Reading: Noncredit Exercises: Wednesday March 31 at 4 p.m. Ross, Chapter 5; Powerpoint Lecture Slides, Sets 22-25 Chapter 5: Prob
University of Illinois
Spring 2010
ECE 313: Problem Set 8: Problems and Solutions CDFs; Continuous Random Variables
Due: Reading: Wednesday March 17 at 4 p.m. Ross, chapter 5; Powerpoint Lecture Slides, Sets 20-22
1. [Maximization of the newsboys prot] Ea
University of Illinois
Spring 2010
ECE 313: Problem Set 3: Solutions Discrete Random Variables: pmf, expectation, LOTUS, and variance
1. [Cumulative distribution function] Page 174, #4.19 We have that P cfw_ X = y = p ( y ) = F ( b ) ! F b !
()
1 1 !0= 2
University of Illinois
Spring 2010
ECE 313: Problem Set 6
Due: Wednesday, March 3rd at 4 p.m. Reading: Ross, Chapter 3; Lecture Notes 14-18. Noncredit Exercises: DO NOT turn these in. Chapter 3: Problems 80,84 and 86; Theoretical Exercises 8,16 and 21. Th
University of Illinois
Spring 2010
ECE 313: Problem Set 5: Solutions Conditional Probability, Law of Total Probability, Bayes Formula
1. [Denition of Conditional Probability] P (red apple) = P (red)P (apple|red) = 0.15 P (apple) = P (red apple) = 0.25 P (
University of Illinois
Spring 2010
ECE 313: Problem Set 4: Solutions Counting Random Variables, Maximum-Likelihood Estimation
1. [The Binomial Random Variable I] (a) pfs = 1 (1 103 )5 (b) pX (k ) =
100 k
0,
pfs k (1 pfs )100k , 0 k 100, otherwise.
(c) 100
University of Illinois
Spring 2010
ECE 313: Problem Set 2: Problems and Solutions Problem Set 2
Due: Wednesday February 3 at 4 p.m. 1. [10 points] Each morning, before they go o to work in the mines, the seven dwarves line up and Snow White kisses each dw