¨EE 664 Digital Signal Processing II ¨
SPRING 2001
ª COURSE WEB PAGE: (temporarily)
http://koala.ece.stevens-tech.edu/~utureli/EE664/home.html
or http://attila.stevens-tech.edu/~utureli/class/EE664/home.html for further information.
SCHEDULE (Tentative): Tuesday 06:15 PM-08:45
PM Burchard 213
COORDINATOR: Dr. Uf Tureli, utureli@stevens-tech.edu
PHONE: 201-216 5603
OFFICE HOURS: Tuesdays 5-6pm, Wednesdays 3-4pm at Burchard 202 other times by appointment.
Please contact me at least 2 days in advance for appointments outside of office
hours. You may use e-mail to request appointments.
TEXT: P. Stoica and R. Moses (1997), Introduction to Spectral Analysis, Prentice Hall, Upper Saddle River, NJ.
PREREQUISITES: EE 663, Digital Signal Processing I.
COURSE DESCRIPTION: This course will examine a number of digital signal processing techniques. Topics will include modern spectral estimation, classical Fourier analysis, parametric estimation including MA, AR &ARMA models, selected topics in array processing, adaptive filtering, and filter banks. Projects in your area of interest are encouraged. Emphasis will be placed on rigorous development and application of the theory to practical engineering problems.
Assignments and projects: The projects and assignments will require the use of MATLAB. Students will be asked to write MATLAB programs to process, filter and analyze real-life signals including speech signals and wireless communications signals.
ASSESSMENT / GRADING:
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Project |
(computer programming, brief in-class presentation and formal report) |
20% |
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Homework |
(analytical problems 20 % and computer programming 20% ) |
40% |
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Exams |
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Midterm |
20% |
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Final |
20% |
If you are going to miss an exam, you must make prior
arrangements with me in order to take the exam before the scheduled date.
Homework will be assigned and graded. You are encouraged to form groups to work
together on homework to solidify your knowledge of the material.
OTHER COURSE INFORMATION: You are responsible for all material covered in class, in assigned readings, and on homework assignments. You are expected to attend class. I encourage you to come to my office hours whenever you have any questions concerning the course. I enjoy working with students, and am happy to meet with you.
TENTATIVE
SCHEDULE:
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Week 1 |
Sections covered |
Homework |
Week 5 |
Sections covered |
Homework |
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Jan 16 |
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Feb 12 |
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Week 2 |
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Week 6 |
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Jan 23 |
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Feb 17 |
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Week 3 |
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Week 7 |
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Jan 30 |
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Feb 24 |
MIDTERM |
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Ch1-5 |
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Closed book |
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1 page formula |
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sheet |
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Week 4 |
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Week 8 |
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Feb 5 |
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Oct 19 |
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