Statistical Digital Signal Processing

Course #EC4440

Est.imated Completion Time: 3 months


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. 

Included in degrees & certificates

  • 290


  • EC3410
  • EC3500
  • MA3042
Offerings database access
Asset Publisher

Academic Calendar

  •  06 Jun 2023

    Spring quarter pre-graduation awards ceremony

  •  09 Jun 2023

    Spring quarter last day of classes

  •  13 Jun 2023

    Spring quarter final examinations begin