Patent · US Active

System and method of modeling irregularly sampled temporal data using Kalman filters

US10437944B2 · kind B2 · utility

0Cited by

5References

20Claims

0Family size

Assignee

Conduent Business Services, LLC · US

Inventors

Abhishek Sengupta · Sherghati, IN
Prathosh Aragulla Prasad · Savanuru, IN
Satya Narayan Shukla · Sidhauli, IN
Vaibhav Rajan · Bengaluru, IN
Katerina Sinclair · Tucson, US
Stephen Fullerton · Jacksonville Beach, US

Key dates

Filing date	Mar 29, 2016
Grant date	Oct 8, 2019
Priority date	—
Expiry date	Aug 9, 2038

Classification

Technology area (CPC G)Physics
CPC primaryG06F2218/12
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Systems and methods of modeling irregularly sampled time series signals with unknown temporal dynamics are disclosed wherein a temporal difference variable (TDV) is introduced to model irregular time differences between subsequent measurements. A hierarchical model is designed comprising two linear dynamical systems that model the effects of evolving TDV on temporal observations. All the parameters of the model, including the temporal dynamics, are statistically estimated using historical data.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.