Welcome to Lecture 25 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 fundamental concept of sampling in signal processing which is essential for converting continuous time signals into discrete time signals. We will cover the Nyquist Shannon sampling theorem and understand how signals can be perfectly reconstructed if sampled at a rate that satisfies the Nyquist condition. You will learn what band limited signals are and explore what happens when the sampling rate is too low leading to aliasing and misinterpretation of signals. Using the example of the eight spoke wheel we will visualize how improper sampling can result in misleading observations. This lecture references Oppenheim and Schafer Chapter 4 and will prepare you to analyze and apply sampling correctly in practical signal processing problems.

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