Thêo1 is a frequency stability statistic that is similar to the Allan variance but can provide stability estimates at longer averaging factors and with higher confidence. However, the calculation of Thêo1 is significantly slower than that of the Allan variance, particularly for large data sets, due to a worse computational complexity. A faster algorithm for calculating the "all- τ " version of Thêo1 is developed by identifying certain repeated sums and removing them with a recurrence relation. The new algorithm has a reduced computational complexity, which is equal to that of the Allan variance. Computation time is reduced by orders of magnitude for many data sets. The new, faster algorithm does introduce an error due to accumulated floatin...
We show that a Fourier expansion of the exponential multiplier yields an exponential series that can...
In this paper, we provide the first optimal algorithm for the remaining open question from the semin...
We propose a new approach for the computation of the Allan variance of spec-trometer data combining ...
Thêo1 is a frequency stability statistic that is similar to the Allan variance but can provide stabi...
In our recent publication [1] we presented an exponential series approximation suitable for highly a...
This article comments on a frequency estimator which was proposed by [1] and shows empirically that...
International audienceAn algorithm for computing and validating the multiplier based μ upper bound o...
International audienceAs was initially shown by Brent, exponentials of truncated power series can be...
When we have n results x1,..., xn of repeated measurement of the same quantity, traditional statisti...
The paper addresses the problem of fast and accurate esti-mation of sinusoidal frequencies from nois...
A recently discovered universal rank-based matrix method to extract trends from noisy time series is...
We analyze the Allan Variance estimator as the combination of Discrete-Time linear filters. We apply...
Presented at NiPS Summer School 2019, Perugia (Italy)This work presents results using transprecision...
PrintRequest PermissionsPeriodic signals are encountered in many applications. Such signals can be m...
International audienceThe techniques, based on formal series and combinatorics, used nowadays to ana...
We show that a Fourier expansion of the exponential multiplier yields an exponential series that can...
In this paper, we provide the first optimal algorithm for the remaining open question from the semin...
We propose a new approach for the computation of the Allan variance of spec-trometer data combining ...
Thêo1 is a frequency stability statistic that is similar to the Allan variance but can provide stabi...
In our recent publication [1] we presented an exponential series approximation suitable for highly a...
This article comments on a frequency estimator which was proposed by [1] and shows empirically that...
International audienceAn algorithm for computing and validating the multiplier based μ upper bound o...
International audienceAs was initially shown by Brent, exponentials of truncated power series can be...
When we have n results x1,..., xn of repeated measurement of the same quantity, traditional statisti...
The paper addresses the problem of fast and accurate esti-mation of sinusoidal frequencies from nois...
A recently discovered universal rank-based matrix method to extract trends from noisy time series is...
We analyze the Allan Variance estimator as the combination of Discrete-Time linear filters. We apply...
Presented at NiPS Summer School 2019, Perugia (Italy)This work presents results using transprecision...
PrintRequest PermissionsPeriodic signals are encountered in many applications. Such signals can be m...
International audienceThe techniques, based on formal series and combinatorics, used nowadays to ana...
We show that a Fourier expansion of the exponential multiplier yields an exponential series that can...
In this paper, we provide the first optimal algorithm for the remaining open question from the semin...
We propose a new approach for the computation of the Allan variance of spec-trometer data combining ...