Method and apparatus for automated identification of signal characteristics
US7966268B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 13, 2006 |
| Grant date | Jun 21, 2011 |
| Priority date | — |
| Expiry date | Dec 1, 2026 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L7/0054
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A method of assessing a signal to identify particular signal characteristics comprises application of machine learning to multi-dimensional histograms derived from multi-tap sampling of the signal. The signal is sampled from at least two tap points to retrieve a sample set, and the at least two tap points are adapted to retrieve distinct samples from the signal, such as time spaced samples or spectrally distinct samples. Multiple sample sets are retrieved from the signal over time. The at least two dimensional histogram is built from the joint probability distribution of the plurality of sample sets. A machine learning algorithm then processes the multi-dimensional histogram, and is trained to predict a value of at least one characteristic of the signal.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.