EE 112-01 Linear Systems, Spring 2009
MW: 3:00-4:15PM Room: ENG 345
Dr Sambasiva Srinivasan,
Office: E-255, Office Phone: (408) 924-4012
Email: Sambasiva.Srinivasan@sjsu.edu
Office Hours: MW: 4:30PM- 6:00 PM
Course Objectives:
The course provides the mathematical principles for the description, analysis, and processing of signals,
and systems with applications taken from engineering and science. Continuous and discrete
signals/systems are discussed with emphasis on Laplace transform, convolution, frequency responses,
Fourier series and Fourier transform, discrete Fourier Transform, and Fast Fourier Transform.
Prerequisite: EE 98
Topics Covered:
Mathematical methods used to describe signals/systems, Laplace Transform and its applications, Fourier
Series, Fourier Transform and its applications, Fast Fourier Transform
Outcomes Assessment:
Two midterm examinations and a final examination; homework assignments and MATLAB problems;
quizzes
Textbook:
O’flynn , “Linear Systems.” It is available through Maple Press, San Carlos Street, between 10th & 11th
References:
1. S. Haykin and B. Van Veen, “Signals and Systems”, Wiley, 2005
2. B.P. Lathi, “Signal Processing and Linear Systems,” Oxford University Press, 2005
3. R.D. Strum and D.E. Kirk,”Contemporary Linear Systems using MATLAB”, Brooks / Cole, 2000
Please check the course website classnotes and online MATLAB tutorials.
Grading Policy
The overall course grades (letter-grades) will be assigned based on the overall class distribution (curved).
The weights of the class assignments and the exams are as listed below:
Exam 1 15% , Exam 2 20%, Quizzes 20%, Matlab 10% , Homework 5%, Final Exam 30%, Total 100%
Course grades will be decided based on curving the class performance.
Examinations
There will be 2 midterm exams and a comprehensive final examination.
Exams are closed book and notes. Exams cover assigned reading materials, discussed materials in the
lectures, class handouts and notes, homework and practice problems. Exams will be announced at least
one week prior to administration.
Final Exam Date: Wednesday, May 20, 12:15 – 14:30
Pop Quizzes
Quizzes are given on timely fashion. They are based on the two recent homework assignments, the
material and relevant examples discussed on the two preceding class lectures.
MATLAB/Homework
Homework assignments will be given periodically. Homework will be collected and “randomly” selected
problems are graded. Homework solutions will be made available after the due date. Quizzes are
strongly based on the homework assigned problems. Please refer to the class website for class notes
and MATLAB tutorials.
http://www.engr.sjsu.edu/jrejeb/_private/EE/index_EE112.htm
The password to access the material in this website will be announced in class.
MATLAB: Homework assignments also include several MATLAB problems.
To carry out the MATLAB assignments, MATLAB software is available in the PCs of Room ENG-387. For
each MATLAB assignment you are required to hand-in all the corresponding codes with detailed
explanations. Please protect your work. Detection of similar work would result in receiving zero grades.
A student assistant (Akashvir Mann, e-mail: akash.mann@ymail.com) will be helping you to get familiar
with MATLAB software on Fridays between 1200 and 1400 hours in Room ENG 287. The first session is
on 1/30/2009.
Discussion sessions for non-MATLAB HW problems will also be conducted bya TA. The time and venue
will be announced in the class
Course Outline
I. Introduction/Background. ........................................................8 lectures
* Continuous and discrete signals, systems
* Signal Operations: scaling, shifting, reflecting
* Important functions
* Differential equations
II. Laplace Transform & it Applications ...........…..............................8 lectures
* Introduction to Laplace Transforms (LT)
* Impulse and Step Responses, Convolution
*Application of LT
*Frequency Response, Satiability, and Filtering,
.... Problem Review and Exam 1…
III. Fourier Series and Fourier Transform ........8 lectures
* An introduction to FS
* Generalized Fourier Series
* Fourier Transform
*Fourier Transform applications, Energy Spectral Density
…Problem Review and Exam 2…
IV. Discrete Fourier Transform .....…...4 lectures
* Sampling Theorem
* Discrete Fourier Transform, properties
* Fast Fourier Transform