Random signals and noise
, 3 pts, E4815RANDOM SIGNALS & NOISE
Characterization of stochastic processes as models of signals and noise; stationarity, ergodicity, correlation functions, and power spectra. Gaussian processes as models of noise in linear and nonlinear systems; linear and nonlinear transformations of random processes; orthogonal series representations. Applications to circuits and devices, to communication, control, filtering, and prediction.
RANDOM SIGNALS & NOISE
Characterization of stochastic processes as models of signals and noise; stationarity, ergodicity, correlation functions, and power spectra. Gaussian processes as models of noise in linear and nonlinear systems; linear and nonlinear transformations of random processes; orthogonal series representations. Applications to circuits and devices, to communication, control, filtering, and prediction.
- Section Number
- 001
- Call Number
- 16524
- Day, Time & Location
- TR 11:40AM-12:55PM 1024 Seeley W. Mudd Building
- Instructor
- Irving Kalet