T1 DISTRIBUTION-BASED LOGGING SYSTEMS AND METHODS USING BLIND SOURCE SEPARATION INDEPENDENT COMPONENT ANALYSIS

• 1. 基于独立分量分析的地震盲源反褶积方法 [P] . 中国专利： CN103364826A . 2013-10-23
• 2. 一种变步长自适应盲源分离方法及盲源分离系统 [P] . 中国专利： CN101819782B . 2012.04.18
• 3. T1 DISTRIBUTION-BASED LOGGING SYSTEMS AND METHODS USING BLIND SOURCE SEPARATION INDEPENDENT COMPONENT ANALYSIS [P] . 世界知识产权组织专利： WO2017069727A1 . 2017-04-27

  机译： 基于T1分布的测井系统和盲源分离独立分量分析方法

• 4. Nuclear magnetic resonance evaluation using independent component analysis (ICA)-based blind source separation [P] . 美国专利： US7884602B2 . 2011-02-08

  机译： 使用基于独立成分分析（ICA）的盲源分离进行核磁共振评估

• 5. NUCLEAR MAGNETIC RESONANCE EVALUATION USING INDEPENDENT COMPONENT ANALYSIS (ICA)-BASED BLIND SOURCE SEPARATION [P] . 世界知识产权组织专利： WO2009038744A1 . 2009-03-26

  机译： 基于独立分量分析（ICA）的盲源分离的核磁共振评估

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• 2. Blind Separation of Speech Signals Based on Wavelet Transform and Independent Component Analysis [J] . WU Xiao, HE Jingjing, JIN Shijiu, 天津大学学报（英文版） . 2010,第002期
• 3. The Effect of Number of Microphones toAmplitude Changes for Detect Crack on Rotating Shaft with Blind Source Separation-Independent Component Analysis Method [J] . Novitha L.T. Thenu, Dhany Arifianto, Made Ariana, Research journal of applied science, engineering and technology . 2018,第3期
• 4. The Effect of Number of Microphones to Amplitude Changes for Detect Crack on Rotating Shaft with Blind Source Separation-Independent Component Analysis Method [J] . Novitha L.T. Thenu, Dhany Arifianto, I Made Ariana, Research journal of applied science, engineering and technology . 2018,第3期
• 5. COMPARISON OF PRINCIPAL COMPONENT ANALYSIS AND INDEPENDENT COMPONENT ANALYSIS FOR BLIND SOURCE SEPARATION [J] . R. MUTIHAC, MARC M. VAN HULLE Romanian reports in physics . 2004,第1期
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• 7. System approach to robust acoustic echo cancellation through semi-blind source separation based on independent component analysis. [D] . Wada, Ted S. 2012
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• 9. Optimal Parameters for Multi-Pump Control System with Blind Source Separation Based on Independent Component Analysis [O] . Shufang Li 2016
• 10. Virtues and Vices of Source Separation Using Linear Independent Component Analysis for Blind Source Separation of Non-Linearly Coupled and Synchronised Fetal and Mother ECGs. [R] . Sabry-Rizk, M., Zgallai, W., McLean, A., 2001

• 1. Independent Component Analysis Based Blind Adaptive Interference Reduction and Symbol Recovery for OFDM Systems [J] . LUO Zhongqiang ,ZHU Lidong ,LI Chengjie . 中国通信 . 2016,第002期
• 2. Source Separation of Diesel Engine Vibration Based on the Empirical Mode Decomposition and Independent Component Analysis [J] . DU Xianfeng ,LI Zhijun ,BI Fengrong . 中国机械工程学报 . 2012,第003期
• 3. Evaluation of Dissolved Organic Carbon Using Synchronized Fluorescence Emission Spectra and Unsupervised Method of Principal Component Analysis (PCA) and Independent Component Analysis (ICA) [J] . Tais Cristina Filippe ,Luana Mayumi Takahasi Marques ,Heloise G. Knapik . 水资源与保护（英文） . 2019,第3期
• 4. 轧机主传动系统扭振盲源分离方法研究 [C] . 孟宗 ,樊凤杰 . 2010国际仪器仪表与测控技术大会 . 2010
• 5. 基于独立分量分析盲源分离方法的研究 [A] . 王垒 . 2010