Results 31 to 40 of about 4,191 (134)
The Cramer-Rao Bound and DMT Signal Optimisation for the Identification of a Wiener-Type Model
In linear system identification, optimal excitation signals can be determined using the Cramer-Rao bound. This problem has not been thoroughly studied for the nonlinear case.
Josan AS, Paoli G, Koeppl H, Kubin G
doaj +1 more source
Quantum enhanced multiple-phase estimation with multi-mode N00N states
N00N states are a key resource in quantum metrology, but the use of their multi-mode extension for multiparameter estimation has been elusive so far.
Seongjin Hong +8 more
doaj +1 more source
ABSTRACT This study develops a novel multivariate stochastic framework for assessing systemic risks, such as climate and nature‐related shocks, within production or financial networks. By embedding a linear stochastic fluid network, interpretable as a generalized vector Ornstein–Uhlenbeck process, into the production network of interdependent ...
Giovanni Amici +3 more
wiley +1 more source
Fundamental bounds for parameter estimation with few measurements
Bounding the optimal precision in parameter estimation tasks is of central importance for technological applications. In the regime of a small number of measurements, or low signal-to-noise ratios, the meaning of common frequentist bounds, such as the ...
Valentin Gebhart +2 more
doaj +1 more source
Abstract Exercise in the heat often causes gastrointestinal (GI) disturbances, which can impair performance. Single amino acid supplementation can attenuate gut damage and enhance exercise tolerance; however, the effectiveness of innate amino acid blends from plant‐based proteins remains underexplored.
Robyn Aitkenhead +4 more
wiley +1 more source
Frequency estimator by combination of phase difference method and interpolation algorithm
In the traditional time-shifting based phase difference method, considerable errors may be introduced by wrapped phase problem as long as translation coefficient tends to one even in a small-scale turbulence noise.
Haitao Xu +4 more
doaj +1 more source
ABSTRACT Purpose Magnetic resonance spectroscopy techniques are widely used to non‐invasively study brain metabolism. Despite advances in magnetic resonance spectroscopic imaging (MRSI), there is a notable absence of research on comparing fast non‐Cartesian MRSI with single‐voxel spectroscopy (SVS), limiting our understanding of its performance and ...
Young Woo Park +3 more
wiley +1 more source
A Magnetic Resonance Fingerprinting Approach for Simultaneous T1‐ and PRFS‐Based 3D MR‐Thermometry
ABSTRACT Purpose To evaluate a three dimensional dual echo magnetic resonance fingerprinting sequence for simultaneous proton resonance frequency shift (PRFS) and T1 thermometry during microwave ablation with T1 improving robustness near gas bubble induced susceptibility changes while PRFS provides high precision elsewhere.
Moritz Gutt +7 more
wiley +1 more source
GABA+‐Edited Magnetic Resonance Spectroscopy Deep Learning Quality Assessment Framework
ABSTRACT Purpose Motivated by the need to improve GABA+‐edited magnetic resonance spectroscopy (MRS) quality, we developed a three‐module framework to improve transient averaging based on quality. We hypothesized that training a deep learning (DL) model to differentiate spectrum quality could improve transient averaging compared to traditional ...
Hanna Bugler +2 more
wiley +1 more source
ABSTRACT Purpose Quantification of the creatine kinase (CK) forward reaction rate (kf) in the human heart using phosphorus magnetic resonance spectroscopy is clinically important; however, it is limited by long acquisition times, operator subjectivity in analysis, and potential skeletal muscle contamination.
Aaron Axford +8 more
wiley +1 more source

