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Use of Wavelets to Extract Higher Order Statistics for Separation of Targets andClutter

机译：利用小波提取高阶统计量分离目标和杂波

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摘要

Summarizes work performed in 1995 by McDonnell Douglas Aerospace on a contractunder the ARPA University-Industry ATR Initiative. The focus is on an investigation into the use of wavelets to extract higher order statistics for separation of targets from clutter in sensor imagery.

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作者
Meany, J.; Wright, S.;
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年度 1996
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总页数 14
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Image processing; Target recognition; Algorithms; Forward looking infrared systems; Maximum likelihood estimation; Probability density functions; Infrared images; Pattern recognition; Order statistics; Wavelet transforms;

机译：图像处理;目标识别;算法;前视红外系统;最大似然估计;概率密度函数;红外图像;模式识别;顺序统计;小波变换;

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3. Extracting statistically significant eddy signals from large Lagrangian datasets using wavelet ridge analysis, with application to the Gulf of Mexico [J] . Lilly Jonathan M., Pérez-Brunius Paula Nonlinear Processes in Geophysics Discussions . 2021,第2期

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4. ROBUST BLIND SEPARATION OF STATISTICALLY DEPENDENT SOURCES USING DUAL TREE WAVELETS [C] . Ivica Kopriva, Damir Sersic IEEE International Conference on Image Processing . 2007

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5. Image and signal denoising for improved detection using wavelets and higher order statistics. [D] . Young, Timothy. 2009

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6. Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness [O] . Won Hwa Kim, Vikas Singh, Moo K. Chung, -1

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7. Extracting statistically significant eddy signals from large Lagrangian datasets using wavelet ridge analysis, with application to the Gulf of Mexico [O] . Jonathan M. Lilly, Paula Pérez-Brunius 2021

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Use of Wavelets to Extract Higher Order Statistics for Separation of Targets andClutter

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