Vernotte, F.
and Howe, D.
(2000),
Generalization of the Total Variance Approach to the Different Classes of Structure Functions, Proceedings of 2000 EFTF Conference, , US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=920082
(Accessed June 1, 2023)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Generalization of the Total Variance Approach to the Different Classes of Structure Functions
Published
Author(s)
Francois Vernotte,
Abstract
The Total variance approach has been developed for in-creasing the confidence of the estimation of the classical Allan variance (AVAR), particularly for large integration time values. This method is based on a procedure of extension of the original data sequence called the mirror- reflection which increases the equivalent degrees of freedom of each Allan variance estimate. Recently, we applied this approach to the Modified Allan variance (MVAR) and proved that, in this case, an-other procedure of extension of the data sequence should be used: the reflection- only extension.Proceedings Title
Proceedings of 2000 EFTF Conference
Conference Location
, US
Pub Type
Conferences
Download Paper
Citation
Created February 29, 2000, Updated October 12, 2021