標題: Expectation and maximization algorithm for estimating parameters of a simple partial erasure model
作者: Kao, TS
Cheng, MH
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: expectation and maximization algorithm;least-squares methods;maximum-likelihood estimation;Monte Carlo methods;simple partial erasure model
公開日期: 1-Jan-2003
摘要: The identification of the model parameters of a high-density recording channel generally requires solution of nonlinear equations. In this paper, we apply the expectation and maximization (EM) algorithm to realize the maximum likelihood estimation of the parameters of a simple partial erasure model, including the reduction parameters and the isolated transition response. The algorithm that results from this approach iteratively solves two least-squares problems and, thus, realization is simple. Computer simulations verify the feasibility of the EM algorithm, and show that the proposed algorithm has fast convergence and the resulting estimator is asymptotically efficient.
URI: http://dx.doi.org/10.1109/TMAG.2002.806343
http://hdl.handle.net/11536/28201
ISSN: 0018-9464
DOI: 10.1109/TMAG.2002.806343
期刊: IEEE TRANSACTIONS ON MAGNETICS
Volume: 39
Issue: 1
起始頁: 608
結束頁: 612
Appears in Collections:Articles


Files in This Item:

  1. 000181267300019.pdf