L1:Introduction to signals & sampling | basics, nyquist theorem, examples

Описание: Welcome to Lecture 1 of the course "Digital Signal Processing" by Prof.David Koilpllai
Full Course: https://study.iitm.ac.in/es/course_pa...

Video Overview
In this lecture you will learn the basics of signals with a clear focus on how continuous time signals are converted into discrete time signals. We will discuss what a signal is as an information bearing quantity and how it can be represented as a function of variables like time and space. You will see examples including speech signals and color images to understand these concepts practically. The lecture explains the sampling process in detail with the Nyquist sampling theorem and its importance in avoiding information loss during conversion. We will also explore discrete signals that do not come from sampling continuous signals and clarify the difference between discrete time signal processing and digital signal processing. At the end of this lecture you will get a brief overview of what you will learn in the next session to continue building your understanding of signal processing.

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