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1. AN APPROACH TO DETECTION OF PERIODIC SIGNALS IN WHITE NOISE BASED ON DERIVATIVE OF POWER SPECTRUM AND CONVOLUTION.

Author

Hernandez, Fidel and Iglesias, Miguel

Subjects
*SIGNAL processing, *COMPUTER simulation, *SIMULATION methods & models, *ALGORITHMS, *ACOUSTIC transients
Abstract

This research is based on the Derivative/Integration of the Power Spectrum for the reduction of noise in a periodic signal. The performed procedure, joined to a convolution process, results in the detection of the original values of amplitude, phase and frequency of the spectral components of the periodic signal. In this paper, second-order statistics foundations are presented and the validation of the proposed algorithm is exposed in both theoretical and practical sense. [ABSTRACT FROM AUTHOR]

Published
2019