Communication and Signal Processing

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Nov 24, 2013 (3 years and 4 months ago)

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Electrical Engineering: Signal Processing

Graduate Area Summary

(last update Aug. 2003)


Area Summary

and Research Facilities


Signal Processing has to do with the manipulation of signals for information extraction
and transformation. Pattern Recognition,
image enhancement, detection and estimation
are examples of information extraction, while coding and compression are exa
mples of
signal transformation.


Academic Background


Students entering the program must have the following background:

1. Calculus incl
uding differential equations

2. Signals and Systems (Filters, Transfer functions, Sampling, Transforms)

3. Fourier Transforms

4. LaPlace Transform

5. Probability

Any student requesting admission without this background will be required to take
courses to m
ake up for these deficiencies.


Course Sequence:


Students in Electrical Engineering must take 18
-
21

credits in their option. In the Signal
Processing option there are
9

credits of core courses, which leaves
9
-
12

credits to be
chosen from among the major c
ourses. In addition, students must take 6 credits outside
the area, and
3
-
6 thesis

or project

credits. Any course not listed in the core or major
courses can count as a course outside the area. This is summarized in the table below.



Master of Science

Mas
ter of Engineering

Core courses

3 classes

9 credits

3 classes

9 credits

Major courses

3 classes

9 credits

3
-
4

classes

9
-
12

credits

Elective courses

2 classes

6 credits

2 classes

6 credits

Thesis


6 credits



Project




3
-
6 credits






Total


30 cr
edits


30 credits



The list of core courses, major courses and a typical course sequence are shown below.


Core Courses:


INEL 6076 Adaptive and Optimal Signal Processing

INEL 6078 Estimation, Detection and Stochastic Processes

INEL 5309
Digital Signal P
rocessing (if equivalent not taken previously)



Major Courses:

INEL 6007 Introduction to Remote Sensing

INEL 6049 Multidimensional Signal Processing

INEL 6059 Intelligent Systems and Control

INEL 6050 Advanced Digital Signal Processing Algorithms

INEL 606
9 Microwave Remote Sensing


INEL 5315 Communication Theory II

INEL 5326 Communication System Design: Signal Processing

INEL 5046 Pattern Recognition

INEL 5
3
27

Image Processing

INEL 5505 Linear System Theory

and courses selected by the students graduate com
mittee



A program

of study
must
be submitted before registering

for
a

second semester.
Also,
note that
students
must
present their thesis or proj
ect proposal before registering

Thesis
or Project
credits
for a

second time
.


Example Program:



INEL 6078

Stoc. Proc
.

INEL 5309

DSP I

Elective or

Major Course

INEL 6076

Adapt & Optimal

1st semester

Elective or

Major Course

Elective or

Major Course

Elective or

Ma
jor Course

Elective or

Major Course

Thesis

Thesis

2nd semester

3rd semester

4th semester

Computer Engineering: Signal Processing

Graduate Area Summary


Area Summary


The computer engineering, signal processing option deals with all aspects of
implementation of signal processing algorithms. This deals with both software and
hardware asp
ects, and has to do with algorithm implementation and efficiency.


Academic Background


Students entering the program must have the following background:

1. Calculus including differential equations

2. Signals and Systems (Filters, Transfer functions, Sam
pling, Transforms)

3. Fourier Transforms

4. LaPlace Transform

5. Probability

6. Basic Computer Architecture


Any student requesting admission without this background will be required to take
courses to make up for these deficiencies.


Course Sequence:


Stu
dents in Computer Engineering must take 18
-
21

credits in their option. In the Signal
Processing option there are 12 credits of core courses, which leaves 6
-
9

credits to be
chosen from among the major courses. In addition, students must take 6 credits outsi
de
the area, and
3
-
6 thesis

or project

credits. Any course not listed in the core or major
courses can count as a course outside the area. This is summarized in the table below.



Master of Science

Master of Engineering

Core courses

4 classes

12 credits

4

classes

12 credits

Major courses

2 classes

6 credits

3
-
4 classes

6
-
9 credits

Elective courses

2 classes

6 credits

2 classes

6 credits

Thesis


6 credits



Project




3
-
6 credits






Total


30 credits


30 credits




The list of core courses, major
courses and a typical course sequence are shown below.


Core Courses:

INEL 6050 Advanced Digital Signal Processing Algorithms

INEL 6087 Artificial Intelligence: Techniques and Applications

INEL 5326 Communication System Design: Signal Processing

INEL 5309
Digital Signal Processing (if not taken previously)


Major Courses:

INEL 6009 Computer System Architecture

INEL 6087 Computer Vision

INEL 6007 Introduction to Remote Sensing

INEL 6059 Intelligent Systems and Control

INEL 6049 Multidimensional Signal Proces
sing

INEL 6076 Adaptive and Optimal Signal Processing

INEL 6078 Estimation, Detection and Stochastic Processes


INEL 5046 Pattern Recognition

INEL 5
3
27

Image Processing

INEL 5505 Linear System Theory

and courses selected by the students graduate committee




A program

of study
must
be submitted before registering

for
a

second semester.
Also,
note that
students
must
present their thesis or proj
ect proposal before registering

Thesis
or Project
credits
for a

second time
.


Example Program:





2nd semester

3rd semester

4th semester

INEL 6087

Artif. Intellig
ence

INEL 5309

DSP I

I
NEL 5326

DSP

Design

Elective or

Major Course

1st semester

2nd semester

3rd semester


Elective or

Major Course

Elective or

Major Course

INEL 6050

Adv. DSP Alg

Elective or

Major Course

4th semester

Thesis

Thesis