This lecture covers the transition from Wiener to adaptive denoising techniques, focusing on echo cancellation. It explains the limitations of the Wiener filter, the setup for adaptive denoising, and the development of efficient algorithms. The instructor discusses the practical aspects of estimation, optimality in the least square sense, and the need for adaptive filters in real-time scenarios.