Course Description
Probabilistic descriptions of signals and noise, including joint, marginal and conditional densities, autocorrelation, cross-correlation and power spectral density. Linear and nonlinear transformations. Linear least-squares estimation. Signal detection.
DE Fee
Engineering Online GRAD
DE Program
MS E
FALL 2019
Classes Start:
August 21, 2019
Classes End:
December 6, 2019
Distance Education:
Yes
Class Type:
Lecture
Credits:
3.00
Delivery Method:
Internet
Restrictions:
ONLY distance-track students with grad standing in CN, CE, EE, or EPSE may register. All other students must request enrollment through the EOL Registration System (http://go.ncsu.edu/eol_registration).