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Smooth Signal Activity Detection in White Gaussian Noise: Application to P300 Detection
  • Ali Mobaien ,
  • Reza Boostani ,
  • Negar Kheirandish
Ali Mobaien
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Reza Boostani
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Negar Kheirandish
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Abstract

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.