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
收藏
页码：58 / 64
页数：7
相关论文
共 50 条
  • [31] Visual Tracking with Sensing Dynamics Compensation Using the Expectation-Maximization Algorithm
    Lin, Chung-Yen
    Wang, Cong
    Tomizuka, Masayoshi
    [J]. 2013 AMERICAN CONTROL CONFERENCE (ACC), 2013, : 6281 - 6286
  • [32] Identification of Thermal Model of Power Module Using Expectation-Maximization Algorithm
    Sevcik, Jakub
    Smidl, Vaclav
    Votava, Martin
    [J]. 45TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2019), 2019, : 119 - 125
  • [33] Augment the incomplete LOH data using expectation-maximization algorithm.
    Liu, X
    Luo, Z
    Wang, G
    Zhao, Y
    Wu, C
    Zhang, W
    Huang, W
    Chen, Z
    [J]. AMERICAN JOURNAL OF HUMAN GENETICS, 1999, 65 (04) : A135 - A135
  • [34] Classification of gasoline grades using compositional data and expectation-maximization algorithm
    Pasadakis, Nikos
    Kardamakis, Andreas A.
    Sfakianaki, Popi
    [J]. ENERGY & FUELS, 2007, 21 (06) : 3406 - 3409
  • [35] Fluorescence lifetime discrimination using expectation-maximization algorithm with joint deconvolution
    Fu, Chit Yaw
    Ng, Beng Koon
    Razul, Sirajudeen Gulam
    [J]. JOURNAL OF BIOMEDICAL OPTICS, 2009, 14 (06)
  • [36] Testing for linkage disequilibrium in genotypic data using the expectation-maximization algorithm
    Slatkin, M
    Excoffier, L
    [J]. HEREDITY, 1996, 76 : 377 - 383
  • [37] Multi-frame image fusion using the expectation-maximization algorithm
    Yang, JZ
    Blum, RS
    [J]. 2005 7th International Conference on Information Fusion (FUSION), Vols 1 and 2, 2005, : 469 - 474
  • [38] IDENTIFICATION AND RESTORATION OF NOISY BLURRED IMAGES USING THE EXPECTATION-MAXIMIZATION ALGORITHM
    LAGENDIJK, RL
    BIEMOND, J
    BOEKEE, DE
    [J]. IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1990, 38 (07): : 1180 - 1191
  • [39] Image fusion using the expectation-maximization algorithm and a hidden Markov model
    Yang, JZ
    Blum, RS
    [J]. VTC2004-FALL: 2004 IEEE 60TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-7: WIRELESS TECHNOLOGIES FOR GLOBAL SECURITY, 2004, : 4563 - 4567
  • [40] THE SEGMENTATION OF BRAIN MR IMAGES USING REFORMATIVE EXPECTATION-MAXIMIZATION ALGORITHM
    Wu, Jie
    Chen, Jiabi
    Zhang, Xuelong
    Chen, Jinghai
    [J]. INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS, 2010, 10 (02) : 289 - 297
12345