An introduction to continuous-valued random processes, including first and second order statistics. Topics: definitions of random processes taking complex values in continuous time; autocorrelation and autocovariance functions in the time domain; stationarity, ergodicity; power spectral density in frequency domain; effect of linear filters; cross correlation functions and cross-power spectral densities. Prerequisite: (ENSC 380 or MSE 280) and ENSC 280, all with a minimum grade of C-. ENSC 280 may be taken concurrently with ENSC 328. Students who completed STAT 270 prior to Spring 2015 may use STAT 270 instead of ENSC 280. Students with credit for ENSC 327 may not take this course for further credit.
An introduction to continuous-valued random processes, including first and second order statistics. Topics: definitions of random processes taking complex values in continuous time; autocorrelation and autocovariance functions in the time domain; stationarity, ergodicity; power spectral density in frequency domain; effect of linear filters; cross correlation functions and cross-power spectral densities. Prerequisite: (ENSC 380 or MSE 280) and ENSC 280, all with a minimum grade of C-. ENSC 280 may be taken concurrently with ENSC 328. Students who completed STAT 270 prior to Spring 2015 may use STAT 270 instead of ENSC 280. Students with credit for ENSC 327 may not take this course for further credit.
