What's with All the Math?

Engineering Applications of LTI Systems (Seminar)

Brief: The theory behind linear time invariant (LTI) systems - convolution, Fourier decomposition and the convolution theorem - is so well understood, that a lot of engineering and its associated math has been naturally set around it. Once linear and LTI systems are well understood, a lot of the math used in (electrical/electronics/ computer) engineering is well within grasp. This course is designed for people who have learnt LTI systems in their discrete form in a DSP course, and now would like to see applications of the same math to the rest of their engineering subjects.

Target Audience: Electrical, electronics and computer engineers. Anybody else who is interested.

Teacher's Brief: Udayan Kanade did his M.S. in Computer Science with the specialization "Optimization and Signal Processing" from Stanford University. He leads the DSP effort at Codito Technologies. He teaches Advanced DSP at VIT. He is an engineer.

Course Topics: Analog and digital filter design; electromagnetics; phasor diagrams; impedance theory; linear circuits; op amps; antennae and antenna arrays; AM and FM modulation; spring systems; signal conduction and waveguides; non-linear distortion.

Prerequisites: Digital Signal What?