基于累积量的参数估计中的广义正则化

J. Xin, K. Nagasawa, A. Sano
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引用次数: 1

摘要

讨论了基于三阶累积量的参数估计中的正则化问题,用于传递函数的辨识。在四阶累积量的基础上,提出了一种基于奇异值分解的估计有色高斯噪声下正弦波个数的正则化算法。通过与四阶累积量Toeplitz矩阵的奇异值进行比较,给出了确定最优多重可调参数的一种新的类mse准则,用于确定正弦波的个数。
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Generalized regularization in cumulant-based parameter estimation
The regularization in third-order cumulant-based parameter estimation is discussed for identification of transfer functions. The SVD-based regularization algorithm to estimate the number of sinusoids in the presence of colored Gaussian noise is given on a basis of fourth-order cumulant. A new MSE-like criterion for determining the optimal multiple adjustable parameters is given to decide the number of sinusoids by comparing these parameters with the singular values of the fourth-order cumulant-based Toeplitz matrix.<>
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