本文提出了一种基于最小冗余线阵的谱相关共轭循环music算法。

A novel spectral correlation conjugate cyclic MUSIC algorithm based on minimum redundancy linear array (MRLA) is proposed in this paper.

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其中，对于观测向量协方差阵的谱分解估计，我们很容易得到它在一些损失下的风险函数。

Thereinto, for the spectral decomposition estimate of the covariance matrix , we can gain the risk functions under some losses.

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目的：探讨压缩谱阵(CSA)分析常规脑电图的临床价值。

Aim: To explore the value of compressed spectral array (CSA) in analyzing routine electroencephalogram (EEG).

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