Piecewise nonlinear mapper for digitals
US6823322B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Feb 14, 2002 |
| Grant date | Nov 23, 2004 |
| Priority date | — |
| Expiry date | May 29, 2023 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W52/24
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A nonlinear signal mapper that can implement any continuous one-to-one nonlinear map of baseband or intermediate-frequency digital signals. The mapping method follows a “divide-and-conquer” approach in that a nonlinear map to be implemented is piecewise decomposed into a set of simpler nonlinear component maps. The component maps are implemented using code-enabled feed-forward neural networks (FF-NNs). Each code-enabled feed-forward neural network only operates on samples of a digital input signal that lie in a specified interval of the real-valued number line. Code-enabled FF-NNs are controlled by codewords produced by a scalar quantization encoder. The quantization encoder also controls a multiplexer that directs values produced by the FF-NNs to the nonlinear mapper's output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.