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ECET-430. Advanced Digital Signal Processing. Important Information. Your professor: John Sebeson Phone: (630)-652-8299 Email: jsebeson@devry.edu or sebeson@aol.com Web page: http://jsebeson.webs.com This course does not use the eCollege shell Office hours: see my faculty web page .

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ecet 430
ECET-430

Advanced Digital Signal Processing

J. M. Sebeson

important information
Important Information
  • Your professor: John Sebeson
  • Phone: (630)-652-8299
  • Email: jsebeson@devry.edu orsebeson@aol.com
  • Web page: http://jsebeson.webs.com
  • This course does not use the eCollege shell
  • Office hours: see my faculty web page

J. M. Sebeson

course resources web page
Course Resources Web Page
  • Course syllabus
  • Assignment calendar
  • Lab Exercises
  • Homework coversheet
  • Other important information and files

J. M. Sebeson

ecet 430 advanced digital signal processing
ECET-430 Advanced Digital Signal Processing
  • A sequel to ECET-350.
  • Covers techniques used in many current applications of DSP.
  • Assumes concepts learned in ECET-350 (or EET-350) and familiarity with MATLAB.
  • Lab involves MATLAB computational exercises
  • Some homework assignments require MATLAB.

J. M. Sebeson

text and other requirements
Text and other requirements
  • J. Kronenburger and J. Sebeson, “Analog and Digital Signal Processing: An Integrated Computational Approach with MATLAB,” Thompson Delmar Learning (Cengage Learning), 2008. ISBN 1418041734
  • Scientific graphing calculator (TI-89 recommended)
  • MATLAB 7.0 or higher with Signal Processing Toolbox (available on Citrix)

J. M. Sebeson

selected ecet 430 topics
Selected ECET-430 Topics
  • Review of key DSP concepts
  • Discrete Fourier analysis of sampled signals
  • Phase distortion and linear phase filters
  • Impulse response of ideal filters
  • Linear-phase FIR filter design
    • Windowed ideal response
    • Sampling method
    • Optimal Parks-McClellan method
  • IIR filter design
    • Digital oscillators
    • Notch filters
    • Analog prototypes by the bilinear transformation
  • Multi-rate techniques
    • Digital anti-aliasing
    • Decimation and interpolation
    • Noise power density and sampling
    • Noise-shaping, delta-sigma quantization
  • Correlation and auto-correlation of signals
  • Adaptive filters
  • Image processing
  • Wavelets
  • Case Studies

J. M. Sebeson

ecet 430 lab
ECET-430 Lab
  • Lab consists of 8 MATLAB computational exercises emulating the problems of a typical DSP engineer.
  • You are expected to complete the lab exercises on your own initiative, just as a DSP engineer would.
  • Labs are not “cookbook.” You may need to study lecture notes, textbook MATLAB user guides, and MATLAB help documentation to complete them.
  • Late labs will not receive credit.
  • No labs are dropped.

J. M. Sebeson

grading weights
Grading Weights
  • Homework: 20%
  • Quizzes: 20%
  • Midterm Exam: 20%
  • Final Exam: 20%
  • Lab: 20%

J. M. Sebeson

grading scale
Grading Scale
  • Each element (and the total grade) is based on a point system (rounded to the nearest point) where:
    • 90 to 100 = A (e.g. 89.51=90.0=A)
    • 80 to 89.5 = B (e.g. 89.49 =89.0=B)
    • 70 to 79.5 = C
    • 60 to 69.5 = D
    • Below 60 = F

J. M. Sebeson

why learn dsp with matlab
Why Learn DSP With MATLAB?
  • Digital Signal Processing is the dominant technology today, and into the future, for small-signal electronic systems (i.e., just about everything)
  • MATLAB has become one of the standard design environments for DSP engineering
  • Technology students need to be literate and skilled in this environment: knowledgeable in both DSP andMATLAB

J. M. Sebeson

matlab in dsp product development
MATLAB in DSP Product Development

Develop and Test Algorithms in MATLAB

SIMULINK Simulation

DSP Processor Platform

Code Composer

MATLAB + PC = DSP Processor!! (just less efficient)

J. M. Sebeson

my background
My Background
  • Education:
    • B. S. Physics, 1969, Michigan State University
    • M. S. Electrical Engineering, 1971, Northwestern University
    • M. S. Materials Science and Engineering, 1973, Northwestern University
    • Ph.D. Candidacy (ABT) Materials Science, 1978, Northwestern University
  • Professional Experience:(1969 to Present)
    • 2000 – Present: Professor, ECET, DeVry University
    • 1989 - 2000: Hardware Development Director, Switching and Access Solutions, Lucent Technologies
    • 1985 - 1989: Head, Computer Engineering Information Department, AT&T Data Systems Group
    • 1979 - 1985: Technical Manager, Data Switching Product Engineering Group, Bell Laboratories
    • 1969 - 1979: Member of Technical Staff, Bell Laboratories

J. M. Sebeson

areas of r d
Areas of R&D
  • No. 5 Electronic Switching Systemtm
  • AT&T 3Btm Computers
  • No. 2 Signal Transfer Point
  • Common Channel Signaling (CCIS)
  • 1A Processor (No. 1A ESStm and No. 4 ESStm )
  • Computer Aided Design
  • Signaling link encryption systems
  • Hybrid integrated circuit fabrication and testing
  • Magnetic bubble memory devices
  • Laser holographic mass memory systems
  • Reliability theory
  • Solid state surface physics
  • Molecular kinetics

J. M. Sebeson