av_qn

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

Implements the allan variance and allan variance linear regression estimator for latent time series models. More details about the method can be found, for example, in Guerrier, S., Molinari, R., & Stebler, Y. (2016) <doi:10.1109/LSP.2016.2541867>.

St<c3><a9>phane Guerrier

avar

Allan Variance

Stéphane Guerrier

James Balamuta

Gaetan Bakalli

Roberto Molinari

Justin Lee

Ahmed Radi

Haotian Xu

Yuming Zhang

Nathanael Claussen

Lionel Voirol

av_qn function

<dl><dt>Q2</dt>
<dd>A <code>double</code> value for the noise parameter \(Q^2\).</dd>
<dt>n</dt>
<dd>An <code>integer</code> value for the size of the cluster.</dd></dl>

Arguments

Calculate Theoretical Allan Variance for Stationary Quantization Noise Process — av_qn

<dl>

<dt>Q2</dt>
<dd>A <code>double</code> value for the noise parameter \(Q^2\).</dd>


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

</dl>

Calculate Theoretical Allan Variance for Stationary Quantization Noise Process

av_qn: Calculate Theoretical Allan Variance for Stationary Quantization Noise Process

Description

Usage

Value

Arguments

Examples