Method and apparatus for gradient-descent based window optimization for linear prediction analysis
US7231344B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Oct 29, 2002 |
| Grant date | Jun 12, 2007 |
| Priority date | — |
| Expiry date | Nov 26, 2024 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L25/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The shape of windows used during linear predictive analysis can be optimized through the use of gradient-descent based window optimization procedures. Window optimization may be achieved fairly precisely through the use of a primary optimization procedure, or less precisely through the use of an alternate optimization procedure. Both optimization procedures use the principle of gradient-descent to find a window sequence that will either minimize the prediction error energy or maximize the segmental prediction gain. However, the primary optimization procedure uses a Levinson-Durbin based algorithm to determine the gradient while the alternate optimization procedure uses an estimate of the gradient based on the basic definition of a derivative. These optimization procedures can be implemented as computer readable software code. Additionally, the optimization procedures may be implemented in a window optimization device which generally includes a window optimization unit and may also include an interface unit.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.