Method for classifying a time series, that includes a prescribable plurality of samples, with a computer
US6226549A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Jul 12, 1999 |
| Grant date | May 1, 2001 |
| Priority date | — |
| Expiry date | Jul 12, 2019 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2218/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for classifying a time series, that includes a prescribable plurality of samples, with a computer wherein generalized correlation integral is determined for at least a part of samples of a time series. A functions family of an entropy function is determined from the values of the generalized correlation integral. A plurality of considered future samples is thereby employed as a family parameter of the functions family. The time series is classified into various types of characteristic processes from the curve of the functions family of the entropy function.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.