Invention Grant
US07702711B2 Reduced complexity recursive least square lattice structure adaptive filter by means of estimating the backward and forward error prediction squares using binomial expansion
有权
通过使用二项式扩展估计后向和前向误差预测方法，减少复杂度递归最小二乘格子结构自适应滤波器
- Patent Title: Reduced complexity recursive least square lattice structure adaptive filter by means of estimating the backward and forward error prediction squares using binomial expansion
- Patent Title (中): 通过使用二项式扩展估计后向和前向误差预测方法，减少复杂度递归最小二乘格子结构自适应滤波器
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Application No.: US11399906Application Date: 2006-04-07
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Publication No.: US07702711B2Publication Date: 2010-04-20
- Inventor: David L. Barron , James B. Piket , Daniel Rokusek
- Applicant: David L. Barron , James B. Piket , Daniel Rokusek
- Applicant Address: US IL Schaumburg
- Assignee: Motorola, Inc.
- Current Assignee: Motorola, Inc.
- Current Assignee Address: US IL Schaumburg
- Agency: Brinks Hofer Gilson & Lione
- Agent Nathan O. Green
- Main IPC: G06F17/10
- IPC: G06F17/10
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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