Signal and Image Processing (CSE)

Signal and Image Processing


Depending on the courses selected, completion of signal and image processing area coursework can provide additional understanding of topics in signal sampling and compression, detection and estimation, signal feature extraction, time-frequency analysis, speech, audio, image and video processing, machine learning and data mining, biomedical signals, sensor networks, and the signal processing aspects of communication systems and networks.

Signal and image processing engineers find employment in the telecommunication industry, the consumer electronics industry, the biomedical devices industry, the energy industry, the homeland security and national defense industry, and every other industry where information needs to be acquired and processed.

Students interested in this EFA are encouraged to consider the course suggestions listed below when completing their Plan of Study Form.

Computer Science and Engineering Requirements Suggested Options
Theory Elective
(Select one)
CS: 5430 Machine Learning
CS:4720 Optimization Techniques
5000-Level ECE Elective
(Select one)
ECE:5460 Digital Signal Processing (Same as: IGPI:5460)
ECE:5480 Digital Image Processing (Same as: IGPI:5480, BME:5220)
ECE:5530 Wireless Sensor Networks
ECE:5450 Machine Learning (Same as: IGPI:5450)
ECE:5500 Digital Communications
ECE:5520 Information and Coding Theory
ECE:5780 Optical Signal Processing (Same as: PHYS:4820)
ECE:5700 Advanced Electromagnetic Theory
ECE Elective
(Select one)
All 5000-level ECE electives listed above, and
ECE:3400 Linear System II
4000-level or above CS Elective
(Select one)
CS:5430 Machine Learning
CS:5710 Numerical Analysis Nonlinear Equation Approximation Theory (Same as: MATH:5800)
CS:5720 Numerical Analysis: Differential Equations and Linear Algebra (Same as: MATH:5810)
CS Elective
(Select one)
All 4000-level and above CS electives listed above, and
CS:3700 Elementary Numerical Analysis (Same as: MATH:3800)
Additional Electives
(Select one 3 s.h. & one ≥2 s.h.)
Any of the above OR courses selected in consultation with advisor.
MATH:4200 Complex Variables

Advising Notes

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