A novel Two-Dimensional LMS (TDLMS) using sub-sampling mask and step-size index for small target detection
Author:
Affiliation:
1. School of Electrical Engineering and Computer Science, Kyungpook National University
2. Dept. of Information and Communication Engineering, Youngdong University
3. School of Electronic Telecommunication, Inje University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Electrical and Electronic Engineering,Condensed Matter Physics,Electronic, Optical and Magnetic Materials
Link
http://www.jstage.jst.go.jp/article/elex/7/3/7_3_112/_pdf
Reference5 articles.
1. Detecting and tracking dim moving point target in IR image sequence
2. [2] M. M. Hadhoud and D. W. Thomas, “The two-dimensional adaptive LMS (TDLMS) algorithm, ”IEEE Trans. Circuits Syst., vol. 35, no. 5, pp. 485-494, May 1998.
3. Performance evaluation of 2-D adaptive prediction filters for detection of small objects in image data
4. Enhanced detectability of small objects in correlated clutter using an improved 2-D adaptive lattice algorithm
5. [5] Y. Cao, R. Liu, and J. Yang, “Small target detection using two-dimensional least mean square (TDLMS) filter based on neighbor analysis, ”Int. J. Infrared Millim. Waves, vol. 29, no. 2, pp. 188-200, 2008.
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