Signal Processing Certificate - Curriculum 290
Academic Associate and Technical Point of Contact
Monique P. Fargues, Ph.D.
Code EC/Fa, Spanagel Hall, Room 456
(831) 656-2859, DSN 756-2859
fargues@nps.edu
Brief Overview
Provides students an understanding of digital signal processing fundamentals, principles, and applications at the advanced level. The certificate provides a solid engineering foundation which covers the fundamental concepts needed to analyze and process digital information in many current applications including video, imaging, audio, communications, networking, underwater, and control applications. This program provides a mixture of instruction and computer-based laboratory exercises that offer students the opportunity to explore concepts and investigate applications in signal processing.
The four course sequence is extracted from the current set of graduate courses required to complete the Signal Processing Systems specialization track offered by the ECE Department.
The total number of NPS graduate credits obtained for the certificate varies between 15 and 16 depending on the elective choice. This certificate program can also be applied toward a master's degree program (Curriculum 592).
Requirements for Entry
- Acceptance by the ECE Department: Entrance to the Electrical and Computer Engineering curriculum at NPS is through a three-part requirement consisting of a minimum grade point average at the undergraduate level, a sufficient mathematics background, and a sufficient background in technical undergraduate studies. Applicants with a B.S.E.E. degree usually will satisfy the last two requirements automatically.
- Command/Company endorsement.
Convenes
At the beginning of Summer, Fall, or Winter quarters (July, September, or January).
Program Length
Four quarters
Graduate Certificate Requirements
The academic certificate program must be completed within three years of admission to the program.
Subspecialty
5306L
Required Courses
The certificate consists of the following three courses:
| EC3400 | Digital Signal Processing | | 3 | 2 |
| EC3410 | Discrete-Time Random Signals | | 3 | 2 |
| EC4440 | Statistical Digital Signal Processing | | 3 | 2 |
and one of the following list of Signal Processing courses.
The current list, as of March 2014, includes:
| EC3460 | Introduction to Machine Learning for Signal Analytics | | 3 | 2 |
| EC3940 | Special Topics in Electrical & Computer Engineering | | V | V |
| EC4400 | Advanced Topics in Signal Processing | | 3 | 0 |
| EC4430 | Multimedia Information and Communications | | 3 | 2 |
| EC4450 | Array Signal Processing | | 3 | 2 |
| EC4480 | Image Processing and Recognition | | 3 | 2 |
| EC4910 | Advanced Special Topics in Electrical Engineering | | V | V |