Results 11 to 20 of about 224,032 (261)

A View of Information-Estimation Relations in Gaussian Networks

open access: yesEntropy, 2017
Relations between estimation and information measures have received considerable attention from the information theory community. One of the most notable such relationships is the I-MMSE identity of Guo, Shamai and Verdú that connects the mutual ...
Alex Dytso   +3 more
doaj   +1 more source

Fault detection approach applied to inertial navigation system/air data system integrated navigation system with time‐offset

open access: yesIET Radar, Sonar & Navigation, 2021
The false alarm of a fault detection module in aircraft will interfere with flight. If there is a time‐offset between the inertial navigation system (INS) and air data system (ADS), the probability of a false alarm (PFA) of the fault detection module ...
Zhenwei Li   +3 more
doaj   +1 more source

Retrieval of unknown sinusoidal signals through the measurement of chaotic signals

open access: yesThe Journal of Engineering, 2014
Chaotic dynamical systems are extremely sensitive to initial conditions and their behaviour is unpredictable. On the other hand, in regulation theory, an exosystem is available when it is known; however, if it is unknown, it should be estimated with any ...
Guillermo Obregón-Pulido   +3 more
doaj   +1 more source

A localization scheme based on Improving Dynamic Population Monte Carlo Localization method for large‐scale mobile wireless aquaculture sensor networks

open access: yesIET Wireless Sensor Systems, 2023
Localization is one of the essential problems in wireless sensor applications (WSNs). Most range‐free localization schemes for mobile WSNs are based on the Sequential Monte Carlo (SMC) algorithm. Multiple iterations, sample impoverishment and less sample
Chunfeng Lv, Jianping Zhu, Gang Chen
doaj   +1 more source

Theory of Statistical Estimation [PDF]

open access: yesMathematical Proceedings of the Cambridge Philosophical Society, 1925
It has been pointed out to me that some of the statistical ideas employed in the following investigation have never received a strictly logical definition and analysis. The idea of a frequency curve, for example, evidently implies an infinite hypothetical population distributed in a definite manner; but equally evidently the idea of an infinite ...
openaire   +1 more source

Novel distributed state estimation method for the AC-DC hybrid microgrid based on the Lagrangian relaxation method

open access: yesThe Journal of Engineering, 2019
The AC-DC hybrid microgrid is a credible evolution path for the microgrid. State estimation in complex distribution network is a significant foundation for the safe operation.
Ling Ping   +3 more
doaj   +1 more source

Imputing missing values using cumulative linear regression

open access: yesCAAI Transactions on Intelligence Technology, 2019
The concept of missing data is important to apply statistical methods on the dataset. Statisticians and researchers may end up to an inaccurate illation about the data if the missing data are not handled properly.
Samih M. Mostafa
doaj   +1 more source

Distributed joint target detection, tracking and classification via Bernoulli filter

open access: yesIET Radar, Sonar & Navigation, 2022
This paper aims to solve the problem of distributed joint detection, tracking and classification (D‐JDTC) of a target on a peer‐to‐peer sensor network.
Gaiyou Li   +5 more
doaj   +1 more source

Robust dynamic and algebraic state estimation for microgrids: A generalized approach

open access: yesIET Renewable Power Generation, 2023
Network control, optimization, and security analysis are facilitated by accurate microgrid state estimation. By utilizing phasor measurement units (PMUs), a combined robust centralized dynamic algebraic approach is proposed in this paper for estimating ...
Iraj Pourkeivani   +4 more
doaj   +1 more source

Estimation Theory

open access: yes, 2022
AbstractThis chapter is on classical statistical decision theory. It is an important chapter for historical reasons, but it also provides the right mathematical grounding and intuition for more modern statistical tools from data science and machine learning.
Mario V. Wüthrich, Michael Merz
openaire   +1 more source

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