theirsupport. SupportfromtheNSF(grantsSES-0551271, SES-0851759, andSES-1156266) and the SSHRC (grant 410-2010-242) is also gratefully acknowledged. The authors thank Koen Jochmans, Ismael Mourifié, Elie Tamer and three anonymous referees for their very helpful comments and suggestions. 2

and international institutions. In terms of research investment, the faculty has supported budget for a published paper around 104,000-242,000 baht. In the same way, in 2010-2012, the faculty has granted scholar on papers published in impact factors journals around 41,400-74,000 baht per a unit of impact factor

Design and Methods Patients The study cohort was constituted by 410 non-Down syndrome, non-T, Philadelphia chromosome-negative, B-cell precursor ALL patients consecutively enrolled in the AIEOP-BFM ALL2000 study in AIEOP Centers from February 2003 to July 2005, who were included in the previous

Abstract — Many advanced adaptive beamformers are robust against arbitrary array steering vector (ASV) mismatches within a presumed uncertainty set. Adaptive array tolerating significant steering direction error usually requires a large size of ASV uncertainty set. In such case, however, the output signal-to-interference-plus-noise ratios (SINRs) of ro-bust methods degrade quickly with the increasing size of the uncertainty set. In this paper, we propose a new compact ASV uncertainty set which is modelled explicitly by the uncertainty on steering direction and the other arbitrary ASV errors. A robust adaptive beamformer is derived based on this new ASV uncertainty set. To eliminate the non-convex constraint on array magnitude response, we force the real part of array response to exceed unity regarding the ASVs within the uncertainty set. Furthermore, using the worst-case optimization technique, the resultant beamformer is formulated as a quadratic optimization problem with semi-infinite second-order cone (SOC) constraints. Numerical studies show that a large robust response region is easy to achieve and the resultant beamformer achieves high performance on SINR enhancement. Index Terms—Adaptive arrays, Beamforming, Robustness I.

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Temperature response functions introduce high uncertainty in modelled carbon stocks in cold temperature regimes

April 29, 2011Für UnsShe had never before seen a rabbit with either a waistcoat-pocket, or a watch to take out of it, and burning with curiosity, she ran across the field after it Lewis CarrollThe following document, written under the supervision of Dr. reviewed by:

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methods for phase retrieval

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