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6:29
YouTube
Learn Signal Processing
Nyquist Theorem Explained Simply | Sampling Rate, Aliasing & Signal Reconstruction
The Nyquist Theorem is one of the most important concepts in digital signal processing. In this video, we explain what the Nyquist Sampling Theorem is, why sampling frequency must be at least twice the signal bandwidth, and how aliasing occurs when Nyquist is violated. You’ll learn: • What is the Nyquist rate and sampling theorem • Why ...
2 months ago
Nyquist frequency Nyquist Sampling Theorem
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This simulation illustrates the effects of different sampling rates on an analog signal using ADC (Analog-to-Digital Converter) and DAC (Digital-to-Analog Converter) circuits. The top purple waveform represents the original analog sinusoidal input signal at 100 Hz. The other three reconstructed waveforms — orange, green, and red — show the DAC outputs for high, medium, and low sampling rates, respectively: Orange waveform → Highest sampling rate: The output closely follows the original analog si
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