av_wn

This function allows us to calculate the theoretical allan variance for stationary 
white noise process.

Provides a series of tools to compute and plot quantities related to classical and robust wavelet variance for time series and regular lattices. More details can be found, for example, in Serroukh, A., Walden, A.T., & Percival, D.B. (2000) <doi:10.2307/2669537> and Guerrier, S. & Molinari, R. (2016) <arXiv:1607.05858>.

St<c3><a9>phane Guerrier

Wavelet Variance

Stéphane Guerrier

James Balamuta

Justin Lee

Roberto Molinari

Yuming Zhang

Mucyo Karemera

Nathanael Claussen

Haotian Xu

Lionel Voirol

av_wn function

<dl><dt>sigma2</dt>
<dd>A <code>double</code> value for the variance parameter \(\sigma ^2\).</dd>
<dt>n</dt>
<dd>An <code>integer</code> value for the size of the cluster.</dd></dl>

Arguments

Author

Calculate Theoretical Allan Variance for Stationary White Noise Process — av_wn

<dl>

<dt>sigma2</dt>
<dd>A <code>double</code> value for the variance parameter \(\sigma ^2\).</dd>


<dt>n</dt>
<dd>An <code>integer</code> value for the size of the cluster.</dd>

</dl>

Calculate Theoretical Allan Variance for Stationary White Noise Process

av_wn: Calculate Theoretical Allan Variance for Stationary White Noise Process

Description

Usage

Value

Arguments

Author

Examples