The course covers: 1) Nyquist sampling and reconstruction of signals. State-space model of discrete systems. z-Transform and Transfer function. 2) Autoregressive (AR), autoregressive–moving-average (ARMA), infinite impulse response (IIR) systems, their description and frequency response. Basic algorithms for AR/ARMA estimation, feature extractions and implementation. 3) Sensors and data collection. Selected topics in Sensor Integration across the cyber space: data transfer, compression, and protection.

Antirequisite(s): ECE 3331A/B.

Prerequisite(s): ECE 3350A/B.

Extra Information: 3 lecture hours/week, 2 lab hour/week.