Reduced complexity recursive least square lattice structure adaptive filter by means of estimating the backward and forward error prediction squares using binomial expansion
US7702711B2 · kind B2 · utility
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Key dates
| Filing date | Apr 7, 2006 |
| Grant date | Apr 20, 2010 |
| Priority date | — |
| Expiry date | Sep 18, 2028 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH03H2021/0049
- WIPO fieldBasic communication processes
- WIPO sectorElectrical engineering
Abstract
A method for reducing a computational complexity of an m-stage adaptive filter is provided by expanding a weighted sum of forward prediction error squares into a corresponding binomial expansion series, expanding a weighted sum of backward prediction error squares into a corresponding binomial expansion series, and determining coefficient updates of the adaptive filter with the weighted sums of forward and backward prediction error squares approximated by a select number of terms of their corresponding binomial expansion series.
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