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This paper presents reduced-rank linearly constrained minimum variance (LCMV) beamforming algorithms based on joint iterative optimization of filters.
Novel reduced-rank scheme based on joint iterative optimization of adaptive filters with a low-complexity implementation using normalized least mean square (NLMS) algorithms has been proposed in [29].
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A Generation Expansion Planning problem with load uncertainty is formulated based on joint chance-constrained programming (CCP) and is solved by incorporating sensitivity into iterative algorithms.
Based on joint work with Thomas Vidick.
Based on joint work with Emanuele Dolera.
(Based on joint work with Ohad Feldheim).
Based on joint work with Maciej Zworski.
Based on joint work with N.Nekrasov.
Based on joint work with Clement Canonne.
Based on joint work with Aditya Bhaskara, Moses Charikar and Ankur Moitra.
Based on joint work with James Lee and Yuval Peres.
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