Continuous Time Fourier Transform (CTFT) | Signals and Systems | NerdyBug | 2024

Hey, Fellow Nerds!

In this video, we explore the frequency domain representation of signals using Continuous Time Fourier Transform (CTFT) in detail. We'll begin with a recap on the representation of periodic signals, and then delve into the representation of aperiodic signals using the Fourier Transform.

We’ll cover the key concepts of the Fourier Transform, including the Inverse Fourier Transform, and discuss the convergence of the Fourier Transform. Additionally, we'll examine the Fourier Transform of periodic signals and work through example problems to enhance your understanding.
This comprehensive guide is perfect for anyone studying signals and systems, whether you're a beginner or looking to refine your knowledge.

🔥Full series: https://www.youtube.com/playlist?list=PLtQhvtIfWz_8X8AZ3HUPEiyy3keXZAOOU
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📅 Chapters:
00:00:00 Introduction
00:00:25 Recap: Representation of a Periodic Signal - Fourier Series
00:01:13 Representation of an Aperiodic Signals - Fourier Transform
00:26:34 Comparison between Fourier Series and Fourier Transform
00:29:55 Convergence of Fourier Transform
00:32:14 Dirichlet Conditions
00:33:30 Example Problems
00:51:20 Fourier Transform of Periodic Signals
01:04:38 Example Problems

📚 Recommended Reading:
For more in-depth study, refer to the standard textbook:
""Signals and Systems"" by Alan V. Oppenheim and Alan S. Willsky.
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Видео Continuous Time Fourier Transform (CTFT) | Signals and Systems | NerdyBug | 2024 канала NerdyBug