Random Signals and Learning

3 Credits

Introduction to random signals and analysis of linear time invariant (LTI) system response to random inputs. Modeling LTI systems using state space approach. Introduction to inference and learning, including basics of signal detection and estimation, linear regression, and linear time series models. Prerequisites: ECE 108 and ( MATH 231 or MATH 263 ) Can be taken Concurrently: MATH 231 , MATH 263