Sensors, Signals, and Systems

3 Credits

Characterization of sensing systems and analysis and processing of sensor data. Topics include formulation of signals in time and frequency domains: sampling, Nyquist theorem, interpolation, band-limited signals. Analysis of systems: LTI systems, convolution, Eigenfunctions, poles and zeros. Design and analysis of digital filters: ideal filters, FIR filters, filter behavior. Spectral analysis and system identification: stationary processes, power spectral density, frequency leakage. Fundamentals of sensing systems: piezoelectricity, actuation, measurement parameters.