Signal Processing: Image Restoration and Linear Prediction

This lecture covers the concepts of image restoration using linear filters and linear prediction in signal processing. The instructor explains the process of minimizing the error between desired and actual signals by applying a linear filter. The lecture delves into the mathematical derivations and equations involved in calculating the optimal filter for image restoration and signal prediction, emphasizing the importance of spectral analysis and Fourier transforms in signal processing applications.