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Course Syllabus
Islamic University of Gaza
Faculty of Engineering
Department of Electrical and Computer Engineering
Signal & Linear Systems (EELE 3310)
Pre-Requisite: Electric Circuits (EELE 2311, OR EELE 2312)
Instructor : Basil Hamed, Ph.D. Control Systems Engineering
Office e-mail
WebSite
: B251
: bhamed@ iugaza.edu
bahamed@hotmail.com
: http://site.iugaza.edu.ps/bhamed/
Phone
Meeting
: 2860700 Ext. 2894
: (Sat Mon Wed) 9:00-10:00
(
L 512
)
11:00-12:00
(
K 507
)
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Course Syllabus
Course Description: Transform methods for solution of continuous- and discrete-time systems. Fourier and Laplace transform, Frequency response,
Continuous- and discrete-time convolution. Linear systems analysis, Signal spectra: Fourier series; modulation schemes; sampling theorem; discretetime signals; and transform; elements of the Ztransform.
Prerequisite : Electric Circuit II (EELE 2311,OR EELE 2312)
Corequisite: Differential Equations
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Course Syllabus
Text Book: Linear Systems & Signals 2 nd Ed. B.P. Lahti, 2005
References:
• Continuous and Discrete Signals and Systems by S. Soliman & M. Srinath
• Signals & Systems: R. Ziemer, W. Tranter & D. Fannin
• Signals, Systems, and Transforms: Leland Jackson
• Fundamentals of Signals and Systems: E. Kamen & B. Heck.
• Signals and Systems, Haykin, and Van Veen
• Signals and Systems, Third Edition by Chi-Tsong Chen, 2004
• Computer Explorations in Signals and Systems, Buck, Daniel, and
Singer.
Teaching Assistant
Eng. Yossef Shaban (Males)
Eng. Isra Lolo (Females)
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Course Syllabus
Course Aim:
• To introduce class participants to the basic concepts of signal and systems analysis as a fundamental analysis and design tool in electrical and computer engineering.
• To develop an understanding the fundamental concepts and applications of continuous and discrete time systems. Analyze the behavior of each type using appropriate methods.
• To develop an understanding of the time-domain and frequencydomain viewpoint and role of transforms.
• To develop skills in the mechanics of Fourier, Laplace and Ztransforms, and the use of DFT.
• To give students knowledge and ability of determining the stability of a system for both continuous and digital systems.
• To provide the students an opportunity to apply the knowledge of above material in a practical (project) experience
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Course Syllabus
Materials Covered :
• Elementary Signals (Continuous & Digital) and their properties (Periodic vs.
Aperiodic, Energy and Power signals), also other types of Signals are presented.
• Continuous-Time Systems ( Linear and Nonlinear Systems, Time-varying and
Time-Invariant Systems, Systems with and without Memory, Causal Systems,
Invertibility and Inverse Systems, and stable Systems)
• State-Variable Representation; State Equations, Time-Domain Solution of the
State Equations, State Equations in First and Second Canonical Forms.
• Fourier series: Definition, properties, alternate forms, and the application to circuit analysis.
• Fourier transforms: Definition, properties, functional and operational transforms, inverse transforms, Perseval's theorem and their application to circuit analysis.
• Laplace transforms: Definition, properties, functional and operational transforms, and inverse transforms. Circuit Analysis: Application of Laplace transforms to circuit analysis.
• Z-transforms: Definition, properties, functional and operational transforms, and inverse transforms
• Related topics: Transfer functions, impulse response, convolution, steady-state and transient analysis .
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Course Syllabus
Grading System:
Homework
Quizzes
15 %
5 %
Mid term Exam (25/11/2014) 11:00-12:30 30 %
Final Exam ( 12 /1/2015) 1:30-3:30 50 %
Quizzes: Will be given in the discussion by the T.A
Homework
Homework assignments are to be returned on time. No excuses will be accepted for any delay.
Office Hours
Open-door policy, by appointment or as posted.
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+ H(z)
G(z)
Signals
LTI
System
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Type of Signals
– Discrete
-3 -2 -1
1 u[n]
1 2 3 n u(t)
– Continuous
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What is a System?
• System: Black box that takes input signal(s) and converts to output signal(s).
• Discrete-Time System: y[n] = H[x[n]] x[n] y[n]
H
• Continuous-Time System: x(t)
H y(t) = H(x(t)) y(t)
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