EC4440 Statistical Digital Signal Processing

Modern methods of digital signal processing are developed in this course from a statistical point of view. Methods are developed for processing random signals through statistical data analysis and modeling. Topics include adaptive filtering, linear prediction, MA, and AR signal modeling, spectrum estimation and basic machine learning concepts. Techniques presented are applied to various engineering problems such as system identification, forecasting, and equalization. The algorithms introduced have direct applications in communication, sonar, radar systems signal processing, and modern Navy weapon systems. 

Prerequisite

EC3410 or EC3500 and MA3042 or consent of instructor

Lecture Hours

3

Lab Hours

2

Quarter Offered

  • Fall
  • As Required