EE 301
Textbooks:
A. V. Oppenheim, A. S. Willsky, and S. H. Nawab,”Signals & Systems”, PrenticeHall, 1997,
S. Haykin and B. V. Veen, “ Signals and Systems”, John Wiley & Sons, Inc., 1999.
G. E. Carlson, “ Signal and Linear System Analysis with MATLAB”, John Wiley & Sons, Inc., 1998.
R. E. Ziemer, W. H. Tranter, and D. R. Fannin, “ Signals & Systems: Continuous and Discrete”, PrenticeHall, 1998.
Course Outline:
Topic 
Chapters 
Signals and Systems 
Ch 1 
LTI systems 
Ch. 2 
Fourier Series for Periodic Signals 
Ch. 3 
The Continuous time Fourier Transform 
Ch. 4 
The Discrete time Fourier Transform 
Ch. 5 
Laplase Transform 
Ch. 9 
Grading system:
15 % Home works
5 % Attendance
20 % Each MidTerm examination
40 % Final examination
Midterms Exams
1^{st} Midterm: Monday / /
2^{nd} Midterm: Monday / /
EE 301 Signals and systems
Course Schedule, Academic Year 1429/1430
الأسبوع 
الموضوعات 
1 
Definition of a signal.
Definition of a system.
Continuoustime signals and systems.
Discretetime signals and systems.
Analysis versus synthesis, and applications. 
2 
ContinuousTime (CT) and DiscreteTime (DT) Signals
Classifications of CT and DT signals
Deterministic signals.
Random signals.
Periodic signals.
Energy and power signals.
Even and odd signals. 
3 
Transformations of the independent variable of CT and DT signals.
Time shifting.
Reflection.
Time scaling. 
4 
Basic operations on CT and DT signals
Convolution
The convolution integral.
The convolution sum.
Properties of convolution
The commutative property.
The distributive property.
The associative property. 
5 
Correlation
Crosscorrelation function.
Autocorrelation function.
Properties of correlation functions.
Relationship between convolution and correlation. 
6 
Fourier series (FS) representations of CT and DT periodic signals
Linear combinations of harmonically related complex exponentials.
Determination of the FS representation.
Convergence of the FS.
Fourier transform (FT) representations of CT and DT signals 
7 
Development of the FT representation.
Convergence of the FT.
The FT for periodic signals 
8 
Properties of the Fourier representations.
Linearity.
Conjugation and conjugate symmetry.
Time and frequency shifting.
Time and frequency scaling.
Differentiation and integration.
Differencing and summation.
Convolution.
Multiplication.
Parseval's relation.
Duality.

9 
CT and DT Systems
Interconnections of systems.
Basic system properties
Systems with and without memory.
Causal and noncausal systems.
Stable and nonstable systems.
Linear and nonlinear systems.
Time invariant and time varying systems.
Invertibility and inverse systems. 
10 
Linear timeinvariant (LTI) systems
The response of LTI systems to an arbitrary input.
The impulse response.
Development of the convolution sum.
Development of the convolution integral.
Relationship between step and impulse responses. 
11 
Properties of LTI Systems
LTI systems interconnected in cascade.
LTI systems interconnected in parallel.
LTI systems with and without memory.
Invertibility of LTI systems.
Causality for LTI systems.
Stability for LTI systems.
The response of LTI systems to a complex exponential 
12 
The frequency response.
System response to a periodic signal.
Filtering.
DT processing of CT signals.
The sampling theorem.
Basic system components.
Systems characterized by linear constantcoefficient and difference equations 
13 
The Laplace Transform
The unilateral and bilateral Laplace transforms.
Region of convergence.
Inversion of Laplace transform.
Properties of Laplace transform
Linearity.
Time shifting. 