Academic Journal of Engineering and Technology Science, 2024, 7(3); doi: 10.25236/AJETS.2024.070310.
Rongyan Chen
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, 100876, China
Based on the Nyquist sampling theorem, the simulation environment is built by using System View to study the influence of different sampling frequency, signal frequency and noise on the recovered signal. The experimental results show that when the sampling frequency is equal to twice the cut-off frequency, the original signal can be effectively restored without loss. After the Nyquist condition is satisfied, further increasing the sampling frequency does not significantly improve the recovery effect. For noise, when the noise level is low and the system is lower than the anti-noise ability of the system, the distortion-free restoration signal can still be achieved under the condition of satisfying the sampling theorem. However, when the noise level is high, even if the Nyquist condition is satisfied, the original signal cannot be completely restored. This study verifies the correctness of the Nyquist sampling theorem and provides an important reference for the actual signal sampling and processing.
Signal sampling, signal recovery, sampling frequency, Nyquist sampling theorem, noise effects
Rongyan Chen. Research on signal modulation and demodulation based on Nyquist sampling theorem. Academic Journal of Engineering and Technology Science (2024) Vol. 7, Issue 3: 72-76. https://doi.org/10.25236/AJETS.2024.070310.
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