Signal Processing Certificate - Curriculum 290

Academic Associate & 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.

Entry Date

At the beginning of Summer or Winter quarters (July or January).

Program Length

Four quarters.

Graduate Certificate Requirements

The academic certificate program must be completed within three years of admission to the program. A student must maintain a 3.0 GQPR in the certificate courses to be awarded a certificate.

Required Courses

The certificate consists of the following three courses:

Course NumberTitleCreditsLecture HoursLab Hours
EC3400Digital Signal Processing

3

2

EC3410Discrete-Time Random Signals

3

2

EC4440Statistical Digital Signal Processing

3

2

and one of the following list of Signal Processing courses.

The current list, as of March 2014, includes:

Course NumberTitleCreditsLecture HoursLab Hours
EC3460Introduction to Machine Learning for Signal Analytics

3

2

EC3940Special Topics in Electrical & Computer Engineering

V

V

EC4400Advanced Topics in Signal Processing

3

0

EC4430Multimedia Information and Communications

3

1

EC4450Sonar Systems Engineering

4

1

EC4480Image Processing and Recognition

3

2

EC4910Advanced Special Topics in Electrical Engineering

V

V