EE 60573 - Random Processes, Detctn,& Est

Institution:

University of Notre Dame

Subject:

Electrical Engineering

Description:

Fundamentals of random processes, including characterization, convergence issues, covariance and power spectral density. Spectral representations of stochastic processes using Karhunen-Loeve, Fourier, and sampling expansions. Detection and estimation from continueous waveform observations. Other topics: linear prediction and filtering adaptive; Wiener and Kalman filters.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.nd.edu

Phone Number:

(574) 631-5000

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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