Smooth Signal Activity Detection in White Gaussian Noise: Application to P300 Detection
preprintposted on 06.12.2021, 20:46 authored by Ali MobaienAli Mobaien, Reza Boostani, Negar Kheirandish
Signal activity detection is an important problem in many fields of study, including communication, radar, and biomedical signal processing. As we know, many signals have a smooth template compared to noise. In this work, this extra info on the signal structure is used to improve conventional signal detection methods. The suggested method is applied to a P300 dataset to detect this template in background electroencephalography. The results demonstrate the effectiveness of the method in low signal-to-noise ratios.