ECE-S 431
Department of Electrical and Computer Engineering
Fall Quarter 2000
INSTRUCTOR:
Prof. Athina Petropulu, Rm. 7-221, Tel. x2358, e-mail:
athina@artemis.ece.drexel.edu
Office Hours: Wed. 1-2 pm, Mon. 5-6 pm , or by appointment
TEACHING ASSISTANT:
Binning Chen, Rm. 7-707, Tel. x2066, e-mail:
chen@iason.ece.drexel.edu
Office Hours: FRI. noon-2 pm, or by appointment
CLASS SCHEDULE:
Lectures: MO,WE 2-3pm Rm 2-120, REC FRI 2-3 Rm 7-403
LAB: FRI 3-5pm Rm 7-403
COURSE OBJECTIVE:
The goal of
Signal Processing (SP) is to extract information
carried by signals such as
images, speech, video, man-made signals, etc.
SP is probably the most interdisciplinary subject
of Electrical Engineering, with
numerous applications
in every field of engineering or science.
The course will provide the basic principles
of Digital SP and establish links between theory and real world applications.
The laboratory time will be used to illustrate the theoretical concepts
through a set a Matlab-based experiments.
PREREQUISITE: Basic knowledge of Linear Systems and Transform theory
TEXTBOOK:
Digital Signal Signal Processing: Principles, Algorithms, and Applications,
third edition, J.G. Proakis and D.G. Manolakis, Prentice Hall, 1996.
REFERENCES:
DSP First: A Multimedia Approach, J.H. McClellan, R.W.
Schafer and M.A. Yoder, Prentice Hall, 1998.
Discrete Time Signal Processing, A.V. Oppenheim and R.W. Schafer,
Prentice Hall, 1989.
GRADING POLICY:
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.
2-3 computer projects will also be assigned. The problem statement and hints will be discussed during lab time; each project will be given one week to be completed.
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.
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, Computation - 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