基于转换测量误差协方差矩阵的特征值分解，给出了转换位置测量的时间渐近特性。

Based on the eigenvalue decomposition of the converted measurement error covariance matrix, asymptotic behavior was given about the converted position measurement error.

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本文构造了一个类特征函数，找寻了一个特殊矩阵，将BSS问题转化为此矩阵的特征值分解问题，解决了一类线性瞬时混合盲分离问题。 匆。

This thesis construct an characteristic-like function and find a special matrix, transforming BSS into eigenvalue decomposing problems to solve a class problem of linear mixture.

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利用协方差矩阵的特征值。 能实现信号和噪声的分解。

The eigenvalue of covariance matrix can be used to separate signal from noise.

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