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Presents a study which discussed the minimum variance distortionless response beamforming algorithm. Application of the algorithm to least-square problems; Conclusion.

Explains how the factorization of orthogonal matrices will play an important role in modern digital signal processing. The orthogonality of the estimated eigenvector matrix is known to be crucial for the numerical stability of the recursive algorithms; Factorization of an orthogonal matrix; Updating the parameterization; Conclusion.