Noise simulation is a very powerful tool in signal analysis helping to foresee the system performance in real experimental situations. Time series generation is however a hard challenge when a robust model of the noise sources is missing. We present here a simple computational technique which allows the generation of noise samples of fixed length, given a desired power spectrum. A few applications of the method are also discussed. © 2010 Elsevier B.V. All rights reserved.

Carrettoni, M., Cremonesi, O. (2010). Generation of noise time series with arbitrary power spectrum. COMPUTER PHYSICS COMMUNICATIONS, 181(12), 1982-1985 [10.1016/j.cpc.2010.09.003].

Generation of noise time series with arbitrary power spectrum

CARRETTONI, MARCO ANDREA;Cremonesi, O.
2010

Abstract

Noise simulation is a very powerful tool in signal analysis helping to foresee the system performance in real experimental situations. Time series generation is however a hard challenge when a robust model of the noise sources is missing. We present here a simple computational technique which allows the generation of noise samples of fixed length, given a desired power spectrum. A few applications of the method are also discussed. © 2010 Elsevier B.V. All rights reserved.
Articolo in rivista - Articolo scientifico
noise, statisctics
English
1982
1985
4
Carrettoni, M., Cremonesi, O. (2010). Generation of noise time series with arbitrary power spectrum. COMPUTER PHYSICS COMMUNICATIONS, 181(12), 1982-1985 [10.1016/j.cpc.2010.09.003].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/48151
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