Random Signal Analysis and Kalman Filtering

AER E 573 XE Cross Listed: M E/E E


Course Description

Elementary notions of probability. Random processes. Autocorrelation and spectral functions. Estimation of spectrum from finite data. Response of linear systems to random inputs. Discrete and continuous Kalman filter theory and applications. Smoothing and prediction. Linearization of nonlinear dynamics.

3 credits

Questions

Instructor Contact

Peter Sherman

Registration Information

Course Dept
AER E
Course Number
573
Section
XE
Credit Hours
3
Semester
Fall 2018
Dates
Aug 20 - Dec 14
Prerequisites
E E 324 or AER E 331 or M E 370 or M E 411 or MATH 341
Delivery Fee
$570.00 *
* Delivery Fee is additional to Tuition & Fees.

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