Why do car wheels sometimes appear to spin backward in movies? This fascinating optical illusion is a real-world example of aliasing, a crucial concept in Digital Signal Processing (DSP). Aliasing happens when a signal is sampled at a rate lower than the required Nyquist rate, causing frequency distortion and an incorrect representation of the original analog signal. This issue, known as undersampling, is a major challenge in signal processing, Fourier analysis, and data reconstruction. In this video, we explain the Nyquist theorem and how sampling frequency affects signal reconstruction through real-world examples and MATLAB simulations. We begin with an intuitive visual demonstration using rotating car wheels, then explore how improper sampling rates cause high-frequency signals to appear as incorrect lower frequencies (aliasing). Finally, we implement a MATLAB simulation to demonstrate signal sampling, spectrum analysis, and interpolation techniques for accurate digital signal representation. 🚀 What you’ll learn in this video: ✅ Aliasing effect explained with real-world and digital signal examples ✅ The importance of sampling frequency and the Nyquist theorem ✅ Using MATLAB to visualize aliasing, spectrum analysis, and interpolation ✅ How to reconstruct signals and prevent aliasing artifacts ⏱️ Chapters 0:00 – Introduction 0:28 – The Backward Rotating Wheel Effect 1:29 – Nyquist Theorem Explained 1:58 – Aliasing in Digital Signals 3:38 – MATLAB Simulation: Sampling an Analog Signal 6:00 – MATLAB Simulation: Signal Reconstruction & Aliasing 📌 Watch Next: 👉 Master Signal Correlation with Simple Steps! - 👉 Discrete Fourier Transform (DFT) Explained | MATLAB examples - 👉 Quadrature Amplitude Modulation (QAM) Explained | MATLAB examples – 💻 Get the MATLAB Code Here: 💬 Have questions? Drop a comment below! If you found this helpful, don’t forget to like, subscribe, and hit the bell icon for more videos on wireless communication, signal processing, and MATLAB simulations!