Description
MEASUREMENT AND ANALYSIS OF RANDOM DATA FROM DYNAMICAL SYSTEMS
This courses will present measurement and analysis techniques for experimental physical data from engineering applications. The treatment is intended to complement courses in estimation, including Kalman filtering and Bayesian signal processing. The course covers standard time-, frequency-, and quefrency-domain methods of signal analysis, with applications to frequency response function estimates, system identification, modal analysis, and array processing.
Details
Grading Basis
Grad Letter Grade
Units
3
Component
Lecture - Required
Offering
Course
ME 2441
Academic Group
Swanson School of Engineering
Academic Organization
Mechanical Engineering
Campus
Pittsburgh Campus
Typically Offered
Fall