ECE-S 631
- [ ] Prof. Athina Petropulu, Rm. 7-221, Tel. x2358, e-mail:
athina@artemis.ece.drexel.edu
Office Hours: Wed. 1:00-2:00, Mon. 5-6, or by appointment
- [ ]
The goal of
Digital Signal Processing (DSP) is to extract the information
carried by signals such as
images, speech, video, man-made signals, etc.
DSP is probably the most interdisciplinary subject
of Electrical Engineering, with
numerous applications
in every field of engineering or science.
The course will provide an in-depth knowledge of the basic principles
of DSP.
Although applications will be discussed, the emphasis will
be placed on learning about the mathematical tools used in DSP today,
and on understanding the information they convey about the
signal.
- [ ] Class Notes
- [ ] Discrete Time Signal Processing, A.V. Oppenheim and R.W. Schafer, Prentice Hall, 1989.
- [ ] Digital Signal Signal Processing: Principles, Algorithms, and Applications, third edition, J.G. Proakis and D.G. Manolakis, Prentice Hall, 1996.
- [ ] There will be two exams, a midterm and a
comprehensive final exam.
The midterm will be held on Monday November 6, 2000,
during normal class time, and the
final exam will be held during final exams week.
Midterm grades may be disputed up to two weeks after the exams are returned,
after that, the grades are final.
There will be no make up exams. Exam missed without formal
excuse counts as zero.
Homework will be assigned periodically and will be graded. Solutions will be provided on the due date.
There will be a computer project that will be assigned during the seventh week of classes and will be due the last week of classes.
The final grade will be computed according to the formula:
max{1/2(final)+1/2(midterm), 2/3(final)+1/3(midterm), 1/2(projects)+1/4(midterm), +1/4(final)}
Borderline grade cases will be resolved based on the homework grade.
Department of Electrical and Computer Engineering
Fall Quarter 2000
DIGITAL SIGNAL PROCESSING ECE-S 631
INSTRUCTOR:
CLASS SCHEDULE: Monday 6-9, Rm. 27A-77
COURSE OBJECTIVE:
PREREQUISITE: Knowledge of Linear Systems and Transform theory
TEXTBOOK:
REFERENCES:
GRADING POLICY:
TENTATIVE COURSE OUTLINE
- Discrete Signals and Sampling
Discrete/Continuous-Analog/Digital, Sampled Analog Signals - Discrete Time Systems
Classification, Impulse Response and Convolution, - Z-Transform (ZT)
Definition, Properties, Residue Theory - Frequency Analysis of Signals and Systems
Fourier Transform of Discrete Time Signals, Sampling in Frequency Domain, DFT - Properties, FFT - Implementation of Discrete-Time Systems
Structures for FIR Systems, Structures for IIR Systems), Quantization of filter coefficients, Round-off effects - Design of Digital Filters
FIR Systems, IIR Systems - Multirate DSP
Sampling-rate conversion