Method conducted in a computer for classification of a time series having a prescribable number of samples

US6266624A · kind A · utility

Assignee

• Siemens Aktiengesellschaft · DE

Inventors

• Gustavo Deco · Hersbruck, DE
• Bernd Schurmann · Haimhausen, DE

Key dates

• Filing date: Sep 3, 1998
• Grant date: Jul 24, 2001
• Expiry date: Sep 3, 2018

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y10S128/901
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

A method for determining conditioned entropies for a prescribable plurality of future sampling times for a set of samples based upon an information flow. A classification of a time series is implemented on the basis of the information flow. The information flow reflects nonlinear correlations between the samples. A classification is thus possible between those time series whose samples are non-linearly correlated and those time series whose samples are stochastically independant.