Signals and Systems - Rutgers University

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Signals and Systems–
ECE501
16:332:501
Professor Lawrence Rabiner
Rutgers University
Dept. of Electrical and Computer
Engineering
Sept-Dec 2014
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Course Description
This course emphasizes the application of basic concepts
of linear signals and systems via the following sequence of
lectures:
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Basic concepts of signals and systems
Introduction to Linear Time-Invariant Systems
Fourier Series Representation of Periodic Signals
The Continuous Time Fourier Transform
The Discrete Time Fourier Transform
Time and Frequency Characterization of Signals and
Systems
Sampling
Communication Systems (Modulation)
The Laplace Transform
The z-Transform
Linear Feedback Systems
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Course Information
• Textbook: Signals & Systems, A. V.
Oppenheim and A. S. Willsky, Prentice-Hall Inc.,
1997.
• Grading:
– Homework
– Mid -Term Exam
– Final Exam
20%
30%
50%
• Prerequisites: None
• Time and Location: Wednesday, 9:00 am to
11:20 pm, Allison Room ARC 105.
• Course Website: cronos.rutgers.edu/~lrr/
• Office Hours: Tuesday, 10:30-11:30 am
• Homework Grader: Valerie Yang;
[email protected]
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Web Page for Signals and Systems Course
http://cronos.rutgers.edu/~lrr/
Click on
Linear
Signals
and
Systems
on left-side
panel
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Web Page for Signals and Systems Course
http://cronos.rutgers.edu/~lrr/
Download
course
lecture slides
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Web Page for Signals and Systems Course
http://cronos.rutgers.edu/~lrr/
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Web Page for Course
Course
lecture slides
(6-to-page)
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Web Page for Signals and Systems
Course
Homework
Download
homework
assignments
Speech Files
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Web Page for Signals and Systems Course
Image Files
Download
image (.tif,
.jpg) and/or
MATLAB (.m)
files
MATLAB Files
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Course Readings
Required Course Textbook:
• A. V. Oppenheim and A. S. Willsky, Signals and
Systems, Prentice-Hall Inc., 1997
Recommended Supplementary Textbook:
• None
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Signals and Systems
Practice
Concepts
Theory
Ability to implement
theory and concepts
in working code
(MATLAB, C, C++)
Basic understanding
of how theory is
applied
Mathematics,
derivations, signal
processing
Need to understand signal and systems at all three levels
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Course Outline – ECE501 –Signals
and Systems -- 2014
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Sept 3 - Lecture 0, Introduction/Review of Signal Processing
Sept 10 - Lecture 1, Signals and Systems
Sept 17 - Lecture 2, Linear Time-Invariant (LTI) Systems
Sept 24 - Lecture 3, CT/DT Fourier Series for Periodic Signals
Oct 1 Lecture 4, Continuous-Time (CT) Fourier Transform
Oct 8 Lecture 5, Discrete-Time (DT) Fourier Transform
Oct 15 - Mid-Term Exam
Oct 22 - Lecture 6, Time and Frequency Characterization
Oct 29 - Lecture 7, Sampling
Nov 5 - Lecture 8, Communication Systems (Modulation)
Nov 12 - Lecture 9, Laplace Transforms
Nov 19 - Lecture 10, z-Transforms
Nov 26 - Thanksgiving Break – No Class
Dec 3 Lecture 11, Linear Feedback Systems
Dec 10 - Final Exam (8am-11 am) (Tentative Date and Time)
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Summary
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Signals and Systems course:
– introduce/review signals and systems (basic concepts)
– introduce linear, time-invariant (LTI) systems (both discrete-time (DT) and
continuous-time (CT) variants)
– discuss the concept of Fourier series as a representation of periodic signals
– extend the concept of Fourier series to the continuous-time Fourier transform
– introduce the concept of the discrete-time Fourier transform
– discuss topics in time and frequency characterization of signals and systems
– introduce the concept of sampling for conversion from continuous-time to
discrete-time signals
– show how signal processing concepts (modulation) enable design of modern
communication systems
– introduce the Laplace transform representation of continuous-time signals and
systems
– introduce the z-transform representation of discrete-time signals and systems
– illustrate the design and stabilization of linear feedback systems
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