Memory-efficient high-speed algorithm for multi-τ PDEV analysis

The Ω preprocessing was introduced to improve phase noise rejection by using a least square algorithm. The associated variance is the PVAR which is more efficient than MVAR to separate the different noise types. However, unlike AVAR and MVAR, the decimation of PVAR estimates for multi-τ analysis is not possible if each counter measurement is a single scalar. This paper gives a decimation rule based on two scalars, the processing blocks, for each measurement. For the Ω preprocessing, this implies the definition of an output standard as well as hardware requirements for performing high-speed computations of the blocks.