The problem of signal denoising for detecting the presence of spikes

  • Authors:

  • Vincenzo Niola;Rosario Oliviero;Giuseppe Quaremba

  • Affiliations:

  • Department of Mechanical Engineering for Energetics, University of Naples "Federico II", Napoli, Italy;University of Naples "Federico II", Napoli, Italy;University of Naples "Federico II", Napoli, Italy

  • Venue:
  • ISPRA'06 Proceedings of the 5th WSEAS International Conference on Signal Processing, Robotics and Automation
  • Year:
  • 2006

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Abstract

A Self Learning Neural Network was designed to perform the denoising of signals and to detect the anomalies superimposed to signals obtained mathematically from sinusoidal functions. The ability of the network to perform a good denoising process was tested by adding random white noise to the original signals. The performance of the denoising process was evaluated by decomposing orthogonally the spiked and noisy signals by means of the wavelet transform, of which the ability of investigating on such anomalies is well known.