Welcome to Lecture 27 of the course "Digital Signal Processing" by Prof.David Koilpllai
Full Course: https://study.iitm.ac.in/es/course_pages/EE3101.html

Video Overview
In this lecture you will learn the important process of signal reconstruction which allows us to recover a continuous time signal from its discrete time samples. We begin with a clear recap of the Nyquist Sampling Theorem and discuss its practical implications in signal processing. You will explore the mathematical foundation behind sampling and see how convolution in the frequency domain creates copies of the original spectrum. We will then focus on the role of the reconstruction filter which helps remove unwanted spectral copies and accurately restores the original signal. The lecture concludes by deriving the mathematical equation that describes the reconstruction process step by step. This understanding is essential for anyone working in digital signal processing and data acquisition.

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