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A REDUCED COMPLEXITY RECURSIVE LEAST SQUARE LATTICE STRUCTURE ADAPTIVE FILTER BY MEANS OF APPROXIMATING THE FORWARD ERROR PREDICTION SQUARES USING THE BACKWARD ERROR PREDICTION SQUARES
A REDUCED COMPLEXITY RECURSIVE LEAST SQUARE LATTICE STRUCTURE ADAPTIVE FILTER BY MEANS OF APPROXIMATING THE FORWARD ERROR PREDICTION SQUARES USING THE BACKWARD ERROR PREDICTION SQUARES
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机译:减少复杂性递归最小二乘方格结构自适应滤波器的方法是利用后向误差预测平方近似前向误差预测平方
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摘要
A method for reducing a computational complexity of an m-stage adaptive filter is provided by determining a weighted sum of backward prediction error squares for stage m at time n, determining a conversion factor for stage m at time n, inverting the weighted sum of backward prediction error squares, and approximating a weighted sum of forward prediction error squares by combining the inverted weighted sum of backward prediction error squares with the conversion factor.
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