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This paper presents a parameter space approach to constrained variance and minimum variance PID controller design for LTI models.
Our assessment of the effects of the effects of socioeconomic position on chronic disease outcomes may have been limited to some extent by the constrained variance in the predominately low social class catchment areas.
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Alternative nested models were fit by constraining variance component(s) to zero, which resulted in AE, CE, DE (where appropriate), and E models.
Because constraining variance components to zero may inflate h estimates (42), and the identification of a small contribution of shared environmental factors is still informative, we preferred the conservative h estimates acquired by using the ACE model.
When compared with conventional LMS based linear constrained minimum variance (LCMV) beamforming algorithm, NSASC and NSAMC converge in a faster manner; and compared with QR-RLS based minimum variance distortionless response (MVDR) beamformer, NSASC and NSAMC have lower complexity.
Linearly constrained minimum variance.
This work discusses the implementation of linear constrained minimum variance (LCMV) beamforming at the DBS receiver.
This paper presents reduced-rank linearly constrained minimum variance (LCMV) beamforming algorithms based on joint iterative optimization of filters.
In this paper an inverse QR decomposition based recursive least-squares algorithm for linearly constrained minimum variance filtering is proposed.
The blind Capon multiuser receivers implemented by linearly constrained minimum variance (LCMV) filters are designed to achieve this goal.
The most popular of them are the diagonal loading approaches [12] and constrained minimum variance approaches [13 16].
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