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Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/1845

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dc.contributor.authorMadan, B-
dc.contributor.authorKuriyan, G-
dc.identifier.citationAcoustics, Speech, and Signal Processing, IEEE International Conference on, 8, 356 - 358p.en
dc.description.abstractThe standard LMS algorithms for adaptive beamforming though straightforward, suffer from the main draw back of having slow, convergence rate. This is normally attributed to the wide range of spread of eigenvalues of the input signal vector correlation matrix. By properly pre-whitening the input signal vector these eigenvalues can be equalized thereby improving the convergence rate. An Escalator structure recently proposed for linear prediction problems is used to pre-whiten the input signal vector. This whitened signal vector is now fed to a beam former with desired main beam shape. The overall adaptive array is computationally efficient and exhibits faster convergence rate than the conventional LMS algorithms.en
dc.format.extent42344 bytes-
dc.subjectconvergence rateen
dc.subjectvector correlation matrixen
dc.subjectinput signal vectoren
dc.titleAn escalator structure for adaptive beamformingen
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