High Resolution, High Contrast Beamformer Using Minimum Variance and Plane Wave Nonlinear Compounding with Low Complexity [PDF]
Sensors, 2021 The plane wave compounding (PWC) is a promising modality to improve the imaging quality and maintain the high frame rate for ultrafast ultrasound imaging.
Xin Yan +3 more
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A Robust Solution to Variational Importance Sampling of Minimum Variance [PDF]
Entropy, 2020 Importance sampling is a Monte Carlo method where samples are obtained from an alternative proposal distribution. This can be used to focus the sampling process in the relevant parts of space, thus reducing the variance. Selecting the proposal that leads
Jerónimo Hernández-González +1 more
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2-D Minimum Variance Based Plane Wave Compounding with Generalized Coherence Factor in Ultrafast Ultrasound Imaging [PDF]
Sensors, 2018 Plane wave compounding (PWC) is an effective modality for ultrafast ultrasound imaging. It can provide higher resolution and better noise reduction than plane wave imaging (PWI).
Yanxing Qi +3 more
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Improvement in Multi-Angle Plane Wave Image Quality Using Minimum Variance Beamforming with Adaptive Signal Coherence [PDF]
SensorsFor ultrasound multi-angle plane wave (PW) imaging, the coherent PW compounding (CPWC) method provides limited image quality because of its conventional delay-and-sum beamforming.
Che-Chou Shen, Chun-Lin Huang
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Short-lag spatial coherence imaging using minimum variance beamforming on dual apertures [PDF]
BioMedical Engineering OnLine, 2019 Background Short-lag spatial coherence (SLSC) imaging, a newly proposed ultrasound imaging scheme, can offer a higher lesion detectability than conventional B-mode imaging.
Yanxing Qi +3 more
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Minimum variance constrained estimator [PDF]
Automatica, 2022 This paper is concerned with the problem of state estimation for discrete-time linear systems in the presence of additional (equality or inequality) constraints on the state (or estimate). By use of the minimum variance duality, the estimation problem is converted into an optimal control problem.
Prabhat Kumar Mishra +2 more
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Dynamic risk-based optimization on cryptocurrencies [PDF]
Journal of Capital Markets Studies, 2021 Purpose – It is crucial to find a better portfolio optimization strategy, considering the cryptocurrencies' asymmetric volatilities. Hence, this research aimed to present dynamic optimization on minimum variance (MVP), equal risk contribution (ERC) and ...
Bayu Adi Nugroho
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Hierarchical Risk Parity as an Alternative to Conventional Methods of Portfolio Optimization: (A Study of Tehran Stock Exchange) [PDF]
Iranian Journal of Finance, 2021 One of the most critical investment issues faced by different investors is choosing an optimal investment portfolio and balancing risk and return in a way that, maximizes investment returns and minimize the investment risk. So far, many methods have been
Marziyeh Nourahmadi, Hojjatollah Sadeqi
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Parametric Robust Generalized Minimum Variance Control
IEEE Access, 2022 This work presents a hybridization of the Generalized Minimum Variance Control (GMVC) with Parametric Robust Control (RPC) for Linear Time-Invariant (LTI) Uncertain Systems.
Leiliane Borges Cunha +2 more
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Error Propagation of Capon’s Minimum Variance Estimator
Frontiers in Physics, 2021 The error propagation of Capon’s minimum variance estimator resulting from measurement errors and position errors is derived within a linear approximation.
S. Toepfer +5 more
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