用于参数估计的信号子空间代价函数的设计

[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1992-03-23 DOI:10.1109/ICASSP.1992.226597

W. Xu, M. Kaveh

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引用次数: 4

摘要

提出了一种量化一般MUSIC型估计器(m-估计器)分辨能力的概率方法。基于最优性的分辨率最大化准则，针对m-估计器的特定参数子类设计了代价泛函。给出了参数类的有效数据自适应值，并将结果推广到更广泛的非参数子类

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Design of signal-subspace cost functionals for parameter estimation

A probabilistic approach to the quantification of the resolving ability of a general class of MUSIC type estimators (m-estimators) is presented. Based on a resolution-maximizing criterion of optimality, a cost functional is designed for a specific parametric subclass of m-estimators. An effective data-adaptive value for the parametric class is also presented and the results are generalized to a broader nonparametric subclass.<>

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[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing

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