Signals Analysis and Systems

advertisement
The University of Jordan
School of Engineering
Department of Electrical Engineering
1st Semester – A.Y. 2014/2015
Course:
Signals Analysis and Systems – 0903221
Instructor:
Dr. Ghazi Al-sukkar
Telephone: 5355000 ext 22840, Email: ghazi.alsukkar@ju.edu.jo
Course Website:
http://fetweb.ju.edu.jo/staff/ee/GSukkar/EE221.htm
Catalog Data:
Signal and system model and classification. Continuous time signals. Signals and vectors.
Generalized Fourier series representation. Amplitude and phase spectra of signals. Energy
and power content of signals. Bandwidth of signals. The Fourier Transform and
applications. Sampling of signals. Convolution of signals. Power and Energy spectral
densities. Correlation functions. Time-domain analysis of continuous time systems. The
system impulse response. Communication channels. Filters: LPF, HPF and BPF. Discrete
time signals. The discrete Fourier transform (DFT) and the Fast Fourier transform (FFT).
Spectral analysis of DFT systems. Unit sample response and response to arbitrary input
sequences. Introduction to the Z-transform. Computer project.
Prerequisites by
Course:
EE 0903201 – Computer Applications (pre-requisite), and
EE 0903211 – Electrical Circuits(1) (pre-requisite)
Prerequisites
By Topic:
Students are assumed to have a background in the following topics:
 Calculus and complex arithmetic.
 Electric circuit analysis, phasors, transfer functions, and filters.
 Using MATLAB and other circuit simulation software.
Signals, Systems and Transforms by Charles L. Philips et. al., Prentice Hall, 5th
Edition, 2013.
 Linear Systems and Signals by B. P. Lathi, Oxford University Press, 2nd Edition,
2004.
 Continuous and Discrete Signals and Systems by Samir S. Soliman and Mandyam D.
Srinath, Prentice Hall, 2nd Edition, 1998.
 Introduction to Communication Systems by Ferrell G. Stremler, Prentice Hall, 3rd
Edition, 1990.
 Signals and Systems by Alan V. Oppenheim, Alan S. Willsky, and S. Hamid, Prentice
Hall, 2nd Edition, 1996.
 Schaum’s Outline of Signals and Systems by Hwei Hsu, McGraw-Hill, 3rd Edition,
2013.
16 Weeks, 42 contact hours (50 minutes each) including exams.
Textbook:
References:
Schedule &
Duration:
Minimum Student
Material:
Minimum College
Facilities:
Course
Objectives:
(3 Cr. – Core Course)
Textbook, class handouts, scientific calculator, and an access to a personal computer.
Classroom with whiteboard and projection display facilities, library, computational
facilities with MATLAB.
The following are the main objectives of this course:
 Analysis and processing of signals in the time and frequency domains.
 Evaluation of the line density, power and energy spectra.
 Evaluation of signal components using Fourier series and transform representations.
 Studying some applications of the Fourier transform, such as: modulation, sampling,
correlation.
 Analysis of Linear time invariant systems using the impulse response and transfer
functions and the Fourier techniques. Studying filters: LPF, BPF, HPF.
 Analysis of discrete time signals and systems using the Discrete Fourier Transform
(DFT) and the Fast Fourier Transform.
Course Learning Outcomes and Relation to ABET Student Outcomes:
Upon successful completion of this course, a student should:
1.
Classify signals and systems into continuous and discrete.
2.
Use the Fourier series and transform to evaluate and sketch the line, density, Power and Energy
spectra of signals.
3.
Convert analog signals into discrete/digital signals and vice versa.
4.
Use appropriate Filters and communication channels for signals processing and transmission.
5.
Use the DFT and FFT for the analysis of signals and systems.
[a]
[a, e]
[a]
[e]
[a, e]
Course Topics:
1.
2.
3.
4.
5.
6.
7.
Topic Description
Signals and systems classification, signals and vectors.
Generalized, complex exponential, and trigonometric Fourier series representation of periodic signals.
Line, power and energy spectra of signals. Bandwidth of signals.
The Fourier transform and its properties (theorems)
The Fourier transform of some typical time domain signals.
Sampling and digitizing of continuous time signals and their spectra.
Applications on the Fourier trasform
Hrs
6
6
6
6
6
6
6
Ground Rules:
Attendance is required and highly encouraged. To that end, attendance will be taken
every lecture. All exams (including the final exam) should be considered cumulative.
Exams are closed book. No scratch paper is allowed. You will be held responsible for all
reading material assigned, even if it is not explicitly covered in lecture notes. Course work
including assignments and the project involve the use of circuit simulation packages,
especially NI MultiSim and MATLAB.
Assessments:
Grading policy:
Exams, Quizzes, Projects, and Assignments.
First Exam
Midterm Exam
Final Exam
Total
Last Updated:
September 2014
20 %
30 %
50 %
100%
Download