Blind Separation of Noisy Multivariate Data Using Second-Order Statistics: Remote-Sensing Applications
In this paper a second-order method for blind source separation of noisy instantaneous linear mixtures is presented for the case where the signal order k is unknown. Its performance advantages are illustrated by simulations and by application to Airborne Visible/Infrared Imaging Spectrometer (AVIRIS...
Main Authors: | , , |
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Other Authors: | , , |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2010-03-09T19:04:04Z.
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Subjects: | |
Online Access: | Get fulltext |