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SPARSE REPRESENTATION-BASED EXTRACTION OF PULMONARY SOUND COMPONENTS FROM LOW-QUALITY AUSCULTATION SIGNALS

机译：基于spaRsE表示的低质量呼吸信号提取肺部声音成分

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Tomoya Sakai; Haruka Satomoto; Senya Kiyasu; Sueharu Miyahara;
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年度 2016
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1. Extraction of the aortic and pulmonary components of the second heart sound using a nonlinear transient chirp signal model [J] . Jingping Xu, Durand L.-G., Pibarot P. IEEE Transactions on Biomedical Engineering . 2001,第3期

机译：使用非线性瞬态线性调频信号模型提取第二种心音的主动脉和肺部成分
2. Extraction of fault component from abnormal sound in diesel engines using acoustic signals [J] . Ning Dayong, Sun Changle, Gong Yongjun, Mechanical systems and signal processing . 2016,第Juna期

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3. A joint sparse wavelet coefficient extraction and adaptive noise reduction method in recovery of weak bearing fault features from a multi-component signal mixture [J] . Dong Wang, Wei Guo, Xiaojuan Wang Applied Soft Computing . 2013,第10期

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4. Sparse representation-based extraction of pulmonary sound components from low-quality auscultation signals [C] . Sakai, Tomoya IEEE International Conference on Acoustics, Speech and Signal Processing;ICASSP . 2012

机译：从低质量听诊信号中基于稀疏表示的肺声成分提取
5. Sparse and Low-Rank Representation-Based Methods for Multimodal Clustering and Recognition [D] . Abavisani, Mahdi. 2021

机译：基于稀疏和低秩的多模式聚类和识别的方法
6. Single-Trial Sparse Representation-Based Approach for VEP Extraction [O] . Nannan Yu, Funian Hu, Dexuan Zou, 2006

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7. Research into adventitious lung sound signals originating from pulmonary tuberculosis using electronic auscultation [O] . Becker Konrad Wilhelm 2009

机译：使用电子听诊研究源自肺结核的不定肺声信号
8. Max-Margin Perspective on Sparse Representation-Based Classification. [R] . Wang, Z., Yang, J., Nasrabadi, N., 2014

机译：基于稀疏表示的分类的最大边界视角。

SPARSE REPRESENTATION-BASED EXTRACTION OF PULMONARY SOUND COMPONENTS FROM LOW-QUALITY AUSCULTATION SIGNALS

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