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This paper analyzes the drawbacks of traditional principal component analysis (PCA) firstly, and discusses the kernel principal component analysis (KPCA) as well as its drawbacks of high complexity secondly. Then it proposes the K-PCA method. Comparing with KPCA, the method proposed in this paper could achieve dimensionality reduction with faster speed. The results show that: the proposed method performs...
A new simple adaptive beamforming method is proposed for the coherent environment in this paper. With the new method, the eigenvector, corresponding to the combination of the desired signal and the coherent interferences, is estimated. Then, the components of the desired signal and the coherent interferences in the covariance matrix are subtracted in the eigen-sense. Finally, adaptive beamforming...
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