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Matched field processing: analysis of feature extraction method with ocean experimental data

机译：匹配场处理：利用海洋实验数据分析特征提取方法

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Mismatch problem has been one of the important issues of matched field processing for underwater source detection. To overcome this mismatch, many researches for robust algorithm have been done. Feature extraction method (FEM) is one of the robust matched field processing algorithms which is based on the eigenvector estimation. Excluding eigenvectors of replica covariance matrix corresponding to large eigenvalues and forming an incoherent subspace of the replica field, the processor is formulated similar to MUSIC algorithm. Using the ocean experimental data, FEM and MVDR results are presented for two levels of multi-tone source. Analysis of eigen-space of CSDM and FEM performance is also presented.

机译：不匹配问题一直是水下源探测的匹配场处理的重要问题之一。为了克服这种不匹配，已经对鲁棒算法进行了许多研究。特征提取方法（FEM）是基于特征向量估计的鲁棒匹配场处理算法之一。排除对应于大特征值并形成副本字段非相干子空间的副本协方差矩阵的特征向量，该处理器的构造类似于MUSIC算法。使用海洋实验数据，给出了两个级别的多音源的FEM和MVDR结果。还对CSDM的特征空间和有限元性能进行了分析。

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《》|2004年|p.181-185|共5页
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作者
Kyungseop Kim; Woojae Seong; Cheokyung Lee;
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中图分类无线电电子学、电信技术;
关键词
acoustic signal detection; underwater acoustic propagation; feature extraction; eigenvalues and eigenfunctions; covariance matrices; oceanographic techniques; matched field processing algorithms; feature extraction method; FEM; ocean experimental data; underwater source detection; robust algorithm; eigenvector estimation; replica covariance matrix; MVDR; multitone source; CSDM eigen space;

机译：声信号检测;水下声传播;特征提取;特征值和特征函数;协方差矩阵;海洋学技术;匹配场处理算法;特征提取方法;有限元法;海洋实验数据;水下源检测;鲁棒算法;特征向量估计;副本协方差矩阵; MVDR;多音源; CSDM本征空间;

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专利

1. Robust matched field-processing algorithm based on feature extraction [J] . Woojae Seong, Sung-Hoon Byun IEEE Journal of Oceanic Engineering . 2002,第3期

机译：基于特征提取的鲁棒匹配场处理算法
2. A Review of Matched-pairs Feature Selection Methods for Gene Expression Data Analysis [J] . Sen Liang, Anjun Ma, Sen Yang, Computational and Structural Biotechnology Journal . 2018,第2013期

机译：基因表达数据分析的配对对特征选择方法综述
3. Threshold Analysis of Wavelet Based Fingerprint Feature Extraction Methods on Multiple Impression Dataset [J] . P. Amoako-Yirenkyi, N. K. Frempong, J. K. Appati, British Journal of Mathematics & Computer Science . 2014,第3期

机译：基于小波多特征数据集指纹特征提取方法的阈值分析
4. Matched field processing: analysis of feature extraction method with ocean experimental data [C] . Kyungseop Kim, Woojae Seong, Cheokyung Lee International Symposium on Underwater Technology . 2004

机译：匹配现场处理：海洋实验数据特征提取方法分析
5. Scaling the Technology Opportunity Analysis text data mining methodology: Data extraction, cleaning, online analytical processing analysis, and reporting of large multi-source datasets. [D] . George, Richard Peyton. 2006

机译：扩展技术机会分析文本数据挖掘方法：数据提取，清理，在线分析处理分析以及大型多源数据集的报告。
6. A Review of Matched-pairs Feature Selection Methods for Gene Expression Data Analysis [O] . Sen Liang, Anjun Ma, Sen Yang, 2018

机译：基因表达数据分析的配对对特征选择方法综述
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Matched field processing: analysis of feature extraction method with ocean experimental data

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