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Minimum-Variance Deconvolution
IEEE Transactions on Geoscience and Remote Sensing, 1981The purpose of this paper is to make the Mendel/Kormylo minimum-variance deconvolution (MVD) procedure, that is based on a state-space model of a signal distortion system and is derived from estimation theory, more accessible to users and potential users.
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Minimum variance control: a homage to Peterka
International Journal of Adaptive Control and Signal Processing, 1999The aim of the paper is to emphasize the contribution of V. Peterka to the steady state minimum variance control problem. A linear discrete stationary stochastic plant is considered that is described by the input-output relation \[ \sum^n_{i=0} a_iy_{k-i}= \sum^n_{i=0} b_iu_{k-i} +\sum^n_{i=0} c_iv_{k-i} \tag{1} \] where \(a_0=1\), \(b_0=0\), \(u_k ...
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Mean-Variance Versus Minimum-Variance Hedging
2009The hedging model introduced in this chapter is an extension of the expected utility approach in Chap. 2 The importing firm’s hedging problem here is almost identical to the one before. The only difference is that this model allows for basis risk. This is important with regard to the definition of backwardation applied.
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A review on recent development of minimum quantity lubrication for sustainable machining
Journal of Cleaner Production, 2020C H Che Haron
exaly
Credible Research Designs for Minimum Wage Studies
ILR Review, 2017Ben Zipperer, Arindrajit Dube
exaly
How unprecedented a solar minimum?
Reviews of Geophysics, 2010Janet Luhmann, Christopher Russell
exaly
The minimum clinically important difference for EQ-5D index: a critical review
Expert Review of Pharmacoeconomics and Outcomes Research, 2014Paul McNamee, Matteo Ruggeri
exaly

