Signal Processing & Electronics III

Catalog description

The signal processing topics focus on random signals, including random vectors, estimation of statistical properties, covariance matrices, least-squares, linear regression and singular value decomposition, as well as an introduction to stochastic processes including stationarity, Gaussian signals and white noise. Topics in electronics include cascade stages, current mirrors and differential amplifiers. Students implement signal processing testbenches in Python, and use circuit simulation tools to design electronic circuits and evaluate their performance. Prerequisite(s): PHY 2032 . Crosslisted with MAT 3033 .