ECE 4020 (5020) - DIGITAL SIGNAL PROCESSING

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ECE 4020 (5020)
-

DIGITAL SIGNAL PROCESSING


Designation:
Elective for BSEE and BSCmpE


Catalog Description:


Lec. 3, Credit 3


Prerequisite: ECE 3020 and ECE 3120 (ECE 3120 may be taken concurrently).


Introduction to the theory and practice of
discrete
-
time signals and systems. A/D and D/A conversion, filter
design, DSP architecture and implementation, programming, DSP applications.


Prerequisites by Topic:

1.

Discrete
-
time Fourier transform, discrete Fourier transform, z transform

2.

Discrete
-
time signals and

systems

3.

Signal sampling and reconstruction

4.

FIR and IIR filters


Textbook(s) and/or Other Required Material(s):


J. G. Proakis and D. G. Manolakis,.
Digital Signal Processing
, 4
th

Edition, Pearson Prentice Hall, 2007


Topics Covered:


1.

Discrete
-
time Fouri
er transform, discrete Fourier transform, z transform (4 hours)


2.

Discrete
-
time signal and systems (4 hours)


3.

A/D and D/A conversion techniques (3 hours)


4.

Sampling, reconstruction, rate conversion, quantization (6 hours)


5.

FIR and IIR filter desi
gn techniques (8 hours)


6.

DSP architectures and implementation; software optimization (8 hours)


7.

Applications of DSP (6 hours)


8.

Tests and solutions (3 hours)


Class/Laboratory Schedule:


Lecture: 3 hrs/week


Laboratory:
-
0
-

hrs/week


Recitation:

-
0
-

hrs/week


Other:
-
0
-

hrs/week


Course Objectives and Relationship to Program Educational Objectives:

To provide a comprehensive introduction to the theory and practice of digital signal processing such that
the student is well
-
prepared to apply it in

the workplace and/or pursue graduate
-
level studies.


Course Outcomes and Relationship to Program Outcomes:


A student completing this course should, at a minimum, be able to:

1.

analyze signals and systems using the discrete
-
time Fourier transform, discre
te Fourier transform and
z

transform (EE/CmpE: 1,14d);

2.

determine the effects of signal sampling, reconstruction, quantization, and rate conversion and describe
the operation of common A/D and D/A converters (EE/CmpE: 14d);

3.

describe systems and archit
ectures used for DSP and explain principal hardware and software
optimizations (EE/CmpE: 14d);

4.

design FIR and IIR filters from analog prototypes and using optimization methods (EE/CmpE: 3,5,11);

5.

implement digital filters on DSP hardware, measure syst
em performance and document the results, and
carry out a more advanced DSP project using DSP hardware (EE/CmpE: 2a,3,4,5,7a,11,16); and

6.

understand unique applications of DSP such as adaptive filters and audio encoders (EE/CmpE: 14d).


Outcomes Assessmen
t Tools:




Outcome Nos. 1
-
6: Homework


Outcome Nos. 4, 5: MATLAB assignments


Outcome Nos. 5: DSP hardware assignments and project


Outcome Nos. 1
-
4, 6: Quizzes, tests, final exam


Contribution of Course to Meeting the Professional Component:


Math and
Basic Science: 0 hrs.

General Education: 0 hrs.

Engineering: 3 hrs. (Design: 0.75 hrs.)

Other: 0 hrs.


Graduate Credit:

To receive ECE 5020 graduate credit, some additional academic work such as a project, paper,
presentation, etc. will be required. At

the beginning of the semester the instructor for the course will
specify this additional requirement for graduate credit.


Prepared by:

Dr. Jeffrey Austen, Dec. 3, 2007

Revised:
Oct 7, 2011