Signal Processing: Linear Filters and Estimation

This lecture is the second part of the signal processing course, focusing on applying concepts learned in the first part with Professor Tyron to build linear filters and perform linear prediction and estimation. The course covers the structure of linear systems, filters, and linear prediction and estimation. Each video is followed by a Q&A session and a practical laboratory. Recommended course material includes the book 'Digital Signal Processing', specifically chapters 10 and 12. A reference table with temporal signals and their corresponding Z-transforms is provided for convenience.