Results 11 to 20 of about 3,692 (130)
СRAMER-RAO AND BHATTACHARYYA BOUNDS FOR ACCURACY ESTIMATION OF SUB-PIXEL IMAGE CO-REGISTRATION
The subject matter of the article is theoretical lower bounds of parameter estimates applied to the problem of image co-registration. The goal is to study and compare the Cramer-Rao and Bhattacharyya bounds.
Виталий Анатольевич Душепа
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To quantify T2*, multiple echoes are typically acquired with a multi-echo gradient echo sequence using either monopolar or bipolar readout gradients. The use of bipolar readout gradients achieves a shorter echo spacing time, enabling the acquisition of a
Seonyeong Shin +2 more
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Optomechanical parameter estimation
We propose a statistical framework for the problem of parameter estimation from a noisy optomechanical system. The Cramér–Rao lower bound on the estimation errors in the long-time limit is derived and compared with the errors of radiometer and ...
Shan Zheng Ang +3 more
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The hybrid Cramér-Rao lower bound for simultaneous self-localization and room geometry estimation
This paper addresses the problem of tracking a moving source, e.g., a robot, equipped with both receivers and a source, that is tracking its own location and simultaneously estimating the locations of multiple plane reflectors.
Maya Veisman, Yair Noam, Sharon Gannot
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Accuracy Analysis in Sensor Networks for Asynchronous Positioning Methods
The accuracy requirements for sensor network positioning have grown over the last few years due to the high precision demanded in activities related with vehicles and robots.
Rubén Álvarez +5 more
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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
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On stability of generalized (affine) phase retrieval in the complex case
In this paper, we discuss the stability of generalized phase retrieval and generalized affine phase retrieval in the complex case. By the realification method, we obtain the bi-Lipschitz property in the absence of noise case and Cramer–Rao lower bound ...
Zhitao Zhuang
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Hierarchical Temporal Memory (HTM) is an unsupervised algorithm in machine learning. It models several fundamental neocortical computational principles.
Shiva Sanati +2 more
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Valid lower bound for all estimators in quantum parameter estimation
The widely used quantum Cramér–Rao bound (QCRB) sets a lower bound for the mean square error of unbiased estimators in quantum parameter estimation, however, in general QCRB is only tight in the asymptotical limit.
Jing Liu, Haidong Yuan
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Optimal Estimation and Fundamental Limits for Target Localization Using IMU/TOA Fusion Method
Localization is one of the most important topics of the cyber-physical system. In the last decades, much attention has been paid to the precise localization and performance evaluation in wireless sensor networks.
Cheng Xu +5 more
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