Signal Reconstruction: Sampling Theorem and Interpolation Formula

This lecture covers the reconstruction of signals using the sampling theorem and interpolation techniques. It explains the conditions for signal reconstruction, the challenges of polynomial interpolation, and the concept of under-sampling. The lecture introduces the sinc function as an interpolation kernel and demonstrates its application in signal reconstruction. It also discusses the limitations of polynomial interpolation and the advantages of using the sinc function for signal interpolation.