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首页> 外文期刊>IEEE Transactions on Signal Processing >A unified square-root-free approach for QRD-based recursive-least-squares estimation
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A unified square-root-free approach for QRD-based recursive-least-squares estimation

机译:基于QRD的递归最小二乘估计的统一无平方根方法

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摘要

The generic formula for the Givens rotation, the most commonly used method for QR-decomposition (QRD) updating, requires explicit square-root (sqrt) computations, which constitute a computational bottleneck. A unified systematic approach for sqrt-free Givens rotations is provided. By properly choosing two parameters, all previously known, as well as new, sqrt-free methods are included in the unified approach. This unified treatment is also extended to the QRD-based recursive-least-squares (RLS) problem for optimum residual acquisition without sqrt operations.
机译:Givens旋转的通用公式是QR分解(QRD)更新最常用的方法,需要显式的平方根(sqrt)计算,这构成了计算瓶颈。提供了无sqrt的Givens轮换的统一系统方法。通过正确选择两个参数,所有以前已知的方法以及新的无sqrt方法都包含在统一方法中。这种统一的处理方法还扩展到基于QRD的递归最小二乘(RLS)问题,以实现最佳的残差采集而无需sqrt操作。

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