MUSIC (MUltiple SIgnal Characterization) is a special spectral estimation method based on the eigen decomposition of the samplecovariance matrix.
多重信号分类(MUSIC)算法是通过对数据协方差矩阵进行本征分解获得信号空间谱估计的方法。
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A spectral estimator based on the rank-deficient samplecovariance matrix was developed to improve the robustness of estimates of the rank-deficient robust Capon filter-bank (RCF) spectral estimator.
This approach, unlike the conventional statistical techniques requiring for a covariance matrix of sample, is based on direct spatial processing of the array data.