System and method for taxonomically distinguishing unconstrained signal data segments
US10699719B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 27, 2017 |
| Grant date | Jun 30, 2020 |
| Priority date | — |
| Expiry date | Jun 27, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2021/02087
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method are provided for taxonomically distinguishing grouped segments of signal data captured in unconstrained manner for a plurality of sources. The system comprises a vector unit constructing for each of the grouped signal data segments at least one vector of predetermined form. A sparse decomposition unit selectively executes in at least a training system mode a simultaneous sparse approximation upon a joint corpus of vectors for a plurality of signal segments of distinct sources. The sparse decomposition unit adaptively generates at least one sparse decomposition for each vector with respect to a representative set of decomposition atoms. A discriminant reduction unit executes during the training system mode to derive an optimal combination of atoms from the representative set. A classification unit executes in a classification system mode to discover for an input signal segment a degree of correlation relative to each of the distinct sources.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.