Results 101 to 110 of about 565 (145)

Coherence-Enhanced Single-Qubit Thermometry out of Equilibrium. [PDF]

Entropy (Basel)
Frazão G, Pezzutto M, Omar Y, Zambrini Cruzeiro E, Gherardini S.   +4 more
europepmc   +1 more source

Deep Reinforcemnet Learning for Robust Beamforming in Integrated Sensing, Communication and Power Transmission Systems. [PDF]

Sensors (Basel)
Xie C, Xiu Y, Yang S, Miao Q, Chen L, Gao Y, Zhang Z.   +6 more
europepmc   +1 more source

High-Frequency Skywave Source Geolocation Using Deep Learning-Based TDOA Estimation and Bias-Regularized Semidefinite Programming with Field Evaluation. [PDF]

Sensors (Basel)
Xu C, Ai H, He L, Hu C, Chen S, Li Z, Liu X.   +6 more
europepmc   +1 more source

Layout of Detection Array Based on Multi-Strategy Fusion Improved Adaptive Mayfly Algorithm in Bearing-Only Sensor Network. [PDF]

Sensors (Basel)
Chen Z, Fang Y, Zhang R, Fu W.
europepmc   +1 more source

Fisher Information and the Dynamics of Multicellular Aging

Hale ZF, Cánez GA, Michaels TC.
europepmc   +1 more source

Evaluating MINFLUX experimental performance in silico

Marin Z, Ries J.
europepmc   +1 more source

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Improved sequential Cramer-Rao type integral inequality

Sequential Analysis, 2018
Cramer-Rao type integral inequalities were known for obtaining lower bounds for Bayesian risk for squared error loss functions for estimators based on fixed sample size.
B L S Prakasa Rao
exaly   +2 more sources

A new multivariate Cramer-Rao inequality for parameter estimation

1974 IEEE Conference on Decision and Control including the 13th Symposium on Adaptive Processes, 1974
A new form of the Cramer-Rao inequality for the estimator of vector parameter constants is presented. For a scalar Cramer-Rao inequality of the form of the one derived, the so-called Cramer-Rao lower bound does not have a denominator that must be maximized over all components of some matrix as was required in previous multivariate derivations.
Thomas H Kerr
exaly   +2 more sources

Remarks on the Cramer-Rao inequality for Doppler-based target parameter estimation

2010 Sixth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2010
This paper outlines the problem of multi-static Doppler-based target position and velocity estimation. The Fisher information matrix is derived given a separate target illuminator and then given a target-based isotropic signal emission. Some remarks concerning the Cramer-Rao inequality and its relationship to the estimation problem are given.
Adrian N Bishop
exaly   +2 more sources