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Solving Toeplitz least squares problems via discrete polynomial least squares approximation at roots of unity

机译:通过单位根上的离散多项式最小二乘逼近来解决Toeplitz最小二乘问题

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We present an algorithm for solving Toeplitz least squares problems. By embedding the Toeplitz matrix into a circulant block matrix and by applying the Discrete Fourier Transform, we are able to transform the linear least squares problem into a discrete least squares approximation problem for polynomial vectors. We have implemented our algorithm in Matlab. Numerical experiments indicate that our approac is numerically stable even for illconditioned problems.
机译:我们提出了一种解决Toeplitz最小二乘问题的算法。通过将Toeplitz矩阵嵌入循环块矩阵并应用离散傅立叶变换,我们能够将线性最小二乘问题转换为多项式向量的离散最小二乘近似问题。我们已经在Matlab中实现了我们的算法。数值实验表明,即使对于病态问题,我们的方法在数值上也是稳定的。

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