Lecture
This lecture covers the application of Kalman Filter in estimating time-varying channel coefficients for communication systems. It discusses the model of a time-varying Finite Impulse Response filter to represent the multipath channel, the estimation of FIR coefficients using Kalman Filter, and the state-space model of FIR coefficients. The lecture also explores simulations to estimate channel coefficients and the performance of the Kalman Filter in a noisy environment.