EC3410: Discrete-Time Random Signals - NPS Online
Discrete-Time Random Signals
Course #EC3410
Est.imated Completion Time: 3 months
POC: NPS Online Support
Overview
Fundamentals of random processes are developed with an emphasis on discrete time for digital signal processing, control, and communications. Parameter estimation concepts are introduced, and impact of uncertainty in parameter evaluation (estimated moments and confidence intervals) are presented. Random processes are introduced. DKLT and applications to image processing and classification problems are considered. Impact of linear transformations to linear systems is discussed. FIR Wiener, and matched filters are introduced. IIR Wiener filter introduced, time permitting. Applications to signal and system characterization in areas such as system identification, forecasting, and equalizations are considered to illustrate concepts discussed during the course.
Included in degrees & certificates
- 290
Prerequisites
- EC2410
- EC2010

Academic Calendar
-
09 Jun 2023
Spring quarter last day of classes
-
13 Jun 2023
Spring quarter final examinations begin
-
15 Jun 2023
Spring quarter final examinations end