Welcome to Lecture 3 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 differences between continuous time signals discrete time signals and digital signals with clear examples to build your fundamentals in signal processing. We will explore how continuous signals are converted into discrete signals using the sampling process and how the Nyquist sampling theorem helps in preserving information during conversion. You will also understand the concept of quantization and how each discrete sample is represented using a finite number of bits to form a digital signal. We will illustrate signal amplitude with practical examples to help you understand how signals are represented and processed in digital systems. This session will strengthen your basics and prepare you for advanced topics in digital signal processing and communication systems.

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