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Worst-Case Based Robust Adaptive Beamforming for General-Rank Signal Models Using Positive Semi-Definite Covariance Constraint

Chen, Haihua and Gershman, Alex B. (2011):
Worst-Case Based Robust Adaptive Beamforming for General-Rank Signal Models Using Positive Semi-Definite Covariance Constraint.
In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'11), Prag, Tschechische Republik, In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'11), Prag, Tschechische Republik, 22.-27.05.2011, [Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2011
Creators: Chen, Haihua and Gershman, Alex B.
Title: Worst-Case Based Robust Adaptive Beamforming for General-Rank Signal Models Using Positive Semi-Definite Covariance Constraint
Language: English
Title of Book: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'11)
Place of Publication: Prag, Tschechische Republik
Divisions: 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Communication Systems
18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications
Event Title: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'11)
Event Location: Prag, Tschechische Republik
Event Dates: 22.-27.05.2011
Date Deposited: 21 Mar 2014 08:14
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