This course explores ideas involving signals, systems and probabilistic models in the context of communication, control and signal processing applications. The material expands out from the basics in 6.003 and 6.041. The...

Introduction to applied linear algebra and linear dynamical systems, with applications to circuits, signal processing, communications, and control systems. Topics include: Least-squares approximations of...

Basic concepts of signals, noise, and extraction of data from noisy signals are presented as an e-learning module. Excel spreadsheets allow students to vary noise parameters. Basic electronics ideas relating to RC...

At this website, the Institute of Sound and Vibration Research (ISVR) at the University of Southampton features its research and educational opportunities dealing with noise and vibrations. Users can find materials about...

The demonstrations given on this Web site are a collection of Java applets and RealAudio clips that explain many underlying concepts of math and engineering. They were developed at John Hopkins University for a project...