EE460 - Analog and Digital Communications Syllabus
Catalog Data
An introduction to analog and digital communication systems. Communication channels, modulation and
demodulation, DSB, AM, SSB, FM and PM modulation schemes. Analog to digital conversation,
sampling theorem, quantization noise and PCM systems. Line coding and digital carrier modulation
schemes including ASK, PSK, FSK and QAM.
Corequistes and Prerequisites
Prerequisites: EE 361 with a grade of C or better. Advanced Standing required.
Relevant Textbooks
Lathi, B.P., Modern Digital and Analog Communication Systems, 4th Edition, Oxford University Press,
2008.
Coordinators
Dr. Ebrahim Saberinia
Course Topics
Introduction to communication systems
Application of Fourier analysis of signals and systems in communications
Ideal communication channel
Channel distortion, linear and non-linear distortion
Signal and channel bandwidth
Ideal and practical filters
Linear analog carrier modulation and demodulation
DSB modulation
AM modulation
SSB, QAM and VSB Modulations
Non-linear analog carrier modulation and demodulation
FM and PM modulations
Narrowband FM vs Wideband FM
Armstrong FM modulator
Analog to digital conversion
Sampling theorem and Nyquist sampling rate
Aliasing and anti-aliasing filter
Quantization and quantization error
Baseband digital modulation schemes
Line coding, binary baseband systems
Pulse amplitude modulations (PAM)
M-array modulation and constellations
Power spectral density for digitally modulated signals
Carrier digital modulation schemes
Amplitude shift keying (ASK)
Phase shift keying (PSK)
Frequency shift keying (FSK)
Quadrature amplitude modulation (QAM)
Course Outcomes (Program Outcomes) [UULOs]
Upon completion of this course, students will be able to:
1. apply Fourier analysis to communication signals. (1.1, 1.2, 1.6,1.7,1.8,1.10) [2.3, 2.4, 2.5, 2.6]
2. explain how channel imperfections distort signals. (1.1, 1.2, 1.6,1.7,1.8,1.10) [2.4, 2.6]
3.
derive the energy or power spectral density of signals(1.1, 1.2, 1.6,1.7,1.8,1.10) [2.4, 2.6]
4. design simple systems for generating and demodulating amplitude modulated signals (1.1, 1.2,
1.6,1.7,1.8,1.10) [2.4, 2.6]
5. design basic systems for the indirect and direct generation of FM signals (1.1, 1.2, 1.6,1.7,1.8,1.10)
[2.4, 2.6]
6. determine the Nyquist sampling rate of a given signal (1.1, 1.2, 1.6,1.7,1.8,1.10) [2.4, 2.6]
7. determine the number of levels in a quantizer given signal-to-noise ratio and maximum input voltage
(1.1, 1.2, 1.6,1.7,1.8,1.10) [2.4, 2.6]
8. describe the different types of line codes (1.1, 1.2, 1.6,1.7,1.8,1.10) [2.4, 2.6]
9. describe ASK, PSK, FSK and QAM digital modulation schemes (1.1, 1.2, 1.6,1.7,1.8,1.10) [2.4, 2.6]
Program Outcomes
The appropriate technical knowledge and skills
An ability to apply mathematics through differential and integral calculus,
An ability to apply advanced mathematics such as differential equations, linear algebra, complex
variables, and discrete mathematics,
An ability to apply knowledge of basic sciences,
An ability to apply knowledge of computer science
An ability to apply knowledge of probability and statistics,
An ability to apply knowledge of engineering
An ability to design a system, component, or process to meet desired needs within realistic
constraints
An ability to identify, formulate, and solve engineering problems
An ability to analyze and design complex electrical and electronic devices
An ability to use the techniques, skills, and modern engineering tools necessary for engineering
practice.
An ability to design and conduct experiments, as well as to analyze and interpret data
University Undergraduate Learning Outcomes (UULOs)
Inquiry and Critical Thinking
Identify problems, articulate questions or hypotheses, and determine the need for information.
Access and collect the needed information from appropriate primary and secondary sources.
Use quantitative and qualitative methods, including the ability to recognize assumptions, draw
inferences, make deductions, and interpret information to analyze problems in context, and
then draw conclusions.
Recognize the complexity of problems, and identify different perspectives from which problems
and questions can be viewed.
Evaluate and report on conclusions, including discussing the basis for and strength of findings, and
identify areas where further inquiry is needed.
Identify, analyze, and evaluate reasoning, and construct and defend reasonable arguments and
explanations.
Computer Usage
Students use computational software (such as Matlab) to model and analyze simple communication
systems. Instruction of computational software and its application to signals and linear systems takes
place in EE 360D.
Grading
Homework Assignments, Computational Software Assignments, Quizzes, Mid-term Exams, Final Exam.
Course Syllabus Preparer and Date
Ebrahim Saberinia, Tuesday, January 20, 2015