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Bibliographic Details
Main Author: Lanucara, Marco
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2509.11650
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author Lanucara, Marco
author_facet Lanucara, Marco
contents We study the spectral properties of a stochastic process obtained by multiplicative inversion of a non-zero-mean Gaussian process. We show that its autocorrelation and power spectrum exist for most regular processes, and we find a convergent series expansion of the autocorrelation function in powers of the ratio between mean and standard deviation of the underlying Gaussian process. We apply the results to two sample processes, and we validate the theoretical results with simulations based on standard signal processing techniques.
format Preprint
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institution arXiv
publishDate 2025
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spellingShingle About the Multiplicative Inverse of a Non-Zero-Mean Gaussian Process
Lanucara, Marco
Statistics Theory
We study the spectral properties of a stochastic process obtained by multiplicative inversion of a non-zero-mean Gaussian process. We show that its autocorrelation and power spectrum exist for most regular processes, and we find a convergent series expansion of the autocorrelation function in powers of the ratio between mean and standard deviation of the underlying Gaussian process. We apply the results to two sample processes, and we validate the theoretical results with simulations based on standard signal processing techniques.
title About the Multiplicative Inverse of a Non-Zero-Mean Gaussian Process
topic Statistics Theory
url https://arxiv.org/abs/2509.11650