Zero-crossing Point Detection Dataset - Distorted Sinusoidal Signals

Third dataset consists 3949 samples deduced from sinusoidal signals with 50% THD, and noise levels 10%, 20%, 30% and 40%. Fourth dataset consists 3949 samples deduced from sinusoidal signals with noise levels 5%, 10%, 15% and 20%.These datasets can be helpful to the researchers who are working on zero-crossing point detection problem using machine learning models. All these datasets are created based on MATLAB simulations.

Each dataset consists 4 input features called slope, intercept, correlation and RMSE, and one output label with the values either 0 or 1. 0 represents non zero-crossing point class, whereas 1 represents zero-crossing point class.