Analysis of isothermal remanent magnetization acquisition curves using the expectation-maximization algorithm

被引：217

作者：

Heslop, D ^{[1
]}

Dekkers, MJ ^{[1
]}

Kruiver, PP ^{[1
]}

van Oorschot, IHM ^{[1
]}

机构：

[1] Univ Utrecht, Fac Earth Sci, Palaeomagnet Lab Ft Hoofddijk, NL-3584 CD Utrecht, Netherlands

来源：

GEOPHYSICAL JOURNAL INTERNATIONAL | 2002年 / 148卷 / 01期

关键词：

coercivity; IRM acquisition; remanent magnetization; rock magnetism;

D O I：

10.1046/j.0956-540x.2001.01558.x

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

The acquisition of isothermal remanent magnetization (IRM) curves through the application of stepwise-increasing uniaxial fields to a rock-magnetic sample provides an important non-destructive tool for the investigation of coercivity spectra (Dunlop & Ozdemir 1997). We show that. through the use of an automated procedure based on the expectation-maximization algorithm (Dempster et al. 1977), both saturated and non-saturated IRM acquisition curves can be effectively modelled into their individual coercivity contributions.

引用

页码：58 / 64

页数：7

共 50 条

[21] Expectation-maximization algorithm for direct position determination
Tzoreff, Elad
Weiss, Anthony J.
[J]. SIGNAL PROCESSING, 2017, 133 : 32 - 39
[22] Evaluation and Analysis of Intelligent Logistics Distribution Using the Expectation-Maximization Algorithm Calculation Model
Wang, Zhifeng
[J]. Mathematical Problems in Engineering, 2022, 2022
[23] Using expectation-maximization for reinforcement learning
Dayan, P
Hinton, GE
[J]. NEURAL COMPUTATION, 1997, 9 (02) : 271 - 278
[24] Evaluation and Analysis of Intelligent Logistics Distribution Using the Expectation-Maximization Algorithm Calculation Model
Wang, Zhifeng
[J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
[25] Identifying pedogenic magnetic minerals in loess from China and Siberia using isothermal remanent magnetization acquisition curves
Le, Zhijun
Chen, Jiasheng
Liu, Xiuming
[J]. STUDIA GEOPHYSICA ET GEODAETICA, 2019, 63 (01) : 147 - 167
[26] Identifying pedogenic magnetic minerals in loess from China and Siberia using isothermal remanent magnetization acquisition curves
Zhijun Le
Jiasheng Chen
Xiuming Liu
[J]. Studia Geophysica et Geodaetica, 2019, 63 : 147 - 167
[27] MULTIPLE ACOUSTIC SOURCES LOCALIZATION USING DISTRIBUTED EXPECTATION-MAXIMIZATION ALGORITHM
Dorfan, Yuval
Hazan, Gershon
Gannot, Sharon
[J]. 2014 4TH JOINT WORKSHOP ON HANDS-FREE SPEECH COMMUNICATION AND MICROPHONE ARRAYS (HSCMA), 2014, : 72 - 76
[28] A Novel Approach to Model Error Modelling using the Expectation-Maximization Algorithm
Delgado, Ramon A.
Goodwin, Graham C.
Carvajal, Rodrigo
Agueero, Juan C.
[J]. 2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2012, : 7327 - 7332
[29] Estimation of void boundaries in flow field using expectation-maximization algorithm
Khambampati, Anil Kumar
Rashid, Ahmar
Lee, Jeong Seong
Kim, Bong Seok
Liu, Dong
Kim, Sin
Kim, Kyung Youn
[J]. CHEMICAL ENGINEERING SCIENCE, 2011, 66 (03) : 355 - 374
[30] Classification of disease recurrence using transition likelihoods with expectation-maximization algorithm
Jiang, Huijun
Li, Quefeng
Lin, Jessica T.
Lin, Feng-Chang
[J]. STATISTICS IN MEDICINE, 2022, 41 (23) : 4697 - 4715

← 1 2 3 4 5 →