This is a web application that allows users to sample signals using Nyquist, generate sinusoidal signals at the UI using frequency and amplitude, display CSV signals, adjust the sampling frequency range with a maximum frequency of the signal, add sample points when adjusting the sampling slider, reconstruct the signal from the sampled points, add noise to the signal using a slider and remove it using a button, and show a graph that displays the difference between the original and the sampled signal. Users can also save the signal using a save button.
- Generate sinusoidal signals at the UI using frequency and amplitude.
- Display CSV signals.
- Adjust the sampling frequency range with a maximum frequency of the signal.
- Add multiple signals to each other
- Add sample points when adjusting the sampling slider.
- Reconstruct the signal from the sampled points.
- A slider to add noise to the signal and a button to remove it.
- A graph that shows the difference between the original and the sampled signal.
- Saving the signal using the save button.
The application has a user-friendly interface that allows users to generate sinusoidal signals, adjust the sampling frequency range, add sample points, and add noise to the signal. Users can also save the signal as a CSV file and view the difference between the original and the sampled signal on a graph.
- HTML/CSS
- JavaScript
- Python
- Flask
Generate Signal
Add sample points and reconstruct the signal, This screenshot shows the reconstructed and the difference between the original and reconstructed signal after sammpling
You can browse signals as shown
EMG Signal after sampling, you can notice that the slider mamx rate is 32 which changes with respect to the max frequency of the signal
Add noise to the signal using the SNR slider
