Title :
Prior information and eigenvector rotation
Author :
Jeffries, D.J. ; Farrier, D.R.
Author_Institution :
University of Southampton, Southampton, U.K.
Abstract :
This paper examines a number of methods for including prior information in high resolution eigenvector methods. Both phase and modulus information are considered for this purpose. It is shown that when the phase information contained in rotated eigenvectors is used, the resolution obtained is superior to conventional rotation methods.
Keywords :
Additive noise; Array signal processing; Covariance matrix; Eigenvalues and eigenfunctions; Equations; Geometry; Matrix decomposition; Multiple signal classification; Sensor arrays; Singular value decomposition;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
DOI :
10.1109/ICASSP.1987.1169418
