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Exact SDP relaxations for classes of nonlinear semidefinite programming problems
Operations Research Letters, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jeyakumar, V., Li, G.
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IEEE Transactions on Antennas and Propagation, 2008
A novel robust adaptive beamformer, formulated as a semidefinite programming (SDP) problem, is proposed in this paper. With new constraints on the magnitude response, the beamwidth and response ripple of the robust response region can be well controlled.
Zhu Liang Yu, Meng Hwa Er, Wee Ser
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A novel robust adaptive beamformer, formulated as a semidefinite programming (SDP) problem, is proposed in this paper. With new constraints on the magnitude response, the beamwidth and response ripple of the robust response region can be well controlled.
Zhu Liang Yu, Meng Hwa Er, Wee Ser
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2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU), 2007
In this paper, we study a new semidefinite programming (SDP) formulation to improve optimization efficiency for large margin estimation (LME) of HMMs in speech recognition. We re-formulate the same LME problem as smaller-scale SDP problems to speed up the SDP-based LME training, especially for large model sets.
null Yan Yin, null Hui Jiang
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In this paper, we study a new semidefinite programming (SDP) formulation to improve optimization efficiency for large margin estimation (LME) of HMMs in speech recognition. We re-formulate the same LME problem as smaller-scale SDP problems to speed up the SDP-based LME training, especially for large model sets.
null Yan Yin, null Hui Jiang
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2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2004
This paper proposes a new method for designing digital all-pass filters with a minimax design criterion using semidefinite programming (SDP). The frequency specification is first formulated as a set of linear matrix inequalities (LMI), which is a bilinear function of the filter coefficients and the ripple to be minimized.
Pun, CKS, Chan, SC
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This paper proposes a new method for designing digital all-pass filters with a minimax design criterion using semidefinite programming (SDP). The frequency specification is first formulated as a set of linear matrix inequalities (LMI), which is a bilinear function of the filter coefficients and the ripple to be minimized.
Pun, CKS, Chan, SC
openaire +2 more sources