Filtering device and method for reducing noise in electrical signals, in particular acoustic signals and images
US7028015B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 28, 2001 |
| Grant date | Apr 11, 2006 |
| Priority date | — |
| Expiry date | Jul 15, 2024 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2218/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A neuro-fuzzy filter device that implements a moving-average filtering technique in which the weights for final reconstruction of the signal are calculated in a neuro-fuzzy network according to specific fuzzy rules. The fuzzy rules operate on three signal features for each input sample. The signal features are correlated to the position of the sample in the considered sample window, to the difference between a sample and the sample at the center of the window, and to the difference between a sample and the average of the samples in the window. The filter device for the analysis of a voice signal includes a bank of neuro-fuzzy filters. The signal is split into a number of sub-bands, according to wavelet theory, using a bank of analysis filters including a pair of FIR QMFs and a pair of downsamplers; each sub-band signal is filtered by a neuro-fuzzy filter, and then the various sub-bands are reconstructed by a bank of synthesis filters including a pair of upsamplers, a pair of FIR QMFs, and an adder node.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.