Method for distinguishing components of signal of environment
US9685155B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 5, 2016 |
| Grant date | Jun 20, 2017 |
| Priority date | — |
| Expiry date | May 5, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10H2250/311
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method distinguishes components of a signal by processing the signal to estimate a set of analysis features, wherein each analysis feature defines an element of the signal and has feature values that represent parts of the signal, processing the signal to estimate input features of the signal, and processing the input features using a deep neural network to assign an associative descriptor to each element of the signal, wherein a degree of similarity between the associative descriptors of different elements is related to a degree to which the parts of the signal represented by the elements belong to a single component of the signal. The similarities between associative descriptors are processed to estimate correspondences between the elements of the signal and the components in the signal. Then, the signal is processed using the correspondences to distinguish component parts of the signal.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.