介绍了一维噪声子空间算法的基本思想、原理以及算法步骤。

This paper analyses the thought and approach of Noise-Subspace of One dimension algorithm.

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针对高维数据的相似性度量问题，提出了一种基于子空间的相似性度量方法。

Aiming at the similarity measurement of high dimensional data, the paper put forward a new method based on subspace.

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分析了MUSIC算法和一维噪声子空间算法的性能，研究了多径衰落对这两种算法的影响。

We not only analyse performance of MUSIC algorithm and 1-d noise subspace algorithm but also investigate the effect of multipath on these two algorithms.

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