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.
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