Welcome to Lecture 35 of the course "Digital Signal Processing" by Prof.David Koilpllai
Full Course: https://study.iitm.ac.in/es/course_pages/EE3101.html

Video Overview
This lecture continues our study of sampling theory using a practical worked example. We analyze the effects of sampling a sinusoidal signal at a rate below the Nyquist rate, demonstrating how aliasing occurs and how it is represented in the frequency domain. You will see how aliasing distorts the reconstructed signal and why understanding this phenomenon is essential for accurate signal processing. We also explore how a single discrete time signal can correspond to different continuous time signals depending on the sampling rate, emphasizing the critical role of the sampling period in the reconstruction process. This session will strengthen your understanding of aliasing and its impact on signal interpretation in both the time and frequency domains.

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