sampling an analog signal is a crucial step for any digital signal processing system The Nyquist–Shannon sampling theorem guarantees a full recovery of the signal when sampling with a frequency larger than or equal to the bandwidth of the signal (or double the maximum frequency in case of real signals).
It is a web application that illustrates the signal sampling and recovery showing the importance and validation of the nyquist rate
- Our application have the following features:
- Visualize and sample an uploaded signal and use the sampled points to recover the original signal
- Adding noise to the loaded signal and reconstructing it.
- Prepare mixed signal by adding sinusoidal signals with different frequancy and magnitudes.
- Sampling and reconstructing the mixed signal.
- Adding noise to the mixed signal and reconstructing it.
- Remove any component from the mixed signal.
- Downloading the reconstructed signal.
- Resize the signals without missing the UI.
| Name | SEC | BN |
|---|---|---|
| Saeed Elsayed | 1 | 42 |
| Mazen Tarek | 2 | 13 |
| Maryam Megahed | 2 | 32 |
| Neveen Mohamed | 2 | 49 |
