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本文章比较适合学习盲分离进行品读，非常值得大家阅读的好材料-This article is suitable for beginners to learn LINUX-reading materials, very good material worth reading
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盲源分离的一篇文章，可以实现对混合信号的分离，对初学者具有很大的帮助。-Blind source separation of an article, can be achieved on the mixed signals, for beginners have a great help.
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基于盲源分离的信号噪声滤除的程序及算法详细介绍，基于盲源分离的信号噪声滤除的毕业设计-Detailed procedures and algorithms based on blind source separation of signal noise filtering, of graduation to filter based on blind source separation of the signal-to-noise design
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机械设备发生故障时, 故障特征的提取很重要。对于多通道的设备故障振动信号, 应用非平稳信号的盲源分离算法, 可以有效地提取各自独立的非平稳振动源,从而可以准确地进行机械故障诊断。针对不同时频分布的非平稳盲源分离算法, 比较了它们的分离效果。以转子的复合故障为例, 验证了该算法在故障诊断中可行性。-Machinery and equipment failure, the fault feature extraction is very important. Failure vibration si
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盲源分离的自适应在线学习方法，采用最大熵，四个源信号，四个混合信号和自然梯度方法-Adaptive online learning method for blind source separation using the maximum entropy, four source signals, four mixed-signal, and the natural gradient method
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简述了独立分量分析理论和盲源分离技术20年的发展历史，概述性非常强。-Outlining very briefly independent component analysis theory and blind source separation technique 20 years of development history.
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对盲源分离和独立分量分析进行了详细的介绍，可读性好。-Blind source separation and independent component analysis, a detailed introduction and readable.
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Blind Source Separation (BSS) is a statistical approach to
separate individual signals from an observed mixture of a
group of signals. BSS relies on only very weak assumptions
on the signals and the mixing process and this blindness
enab
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变步长自然梯度算法实现盲源分离，后面还有动量项自然梯度算法-Variable step-size natural gradient algorithm for blind source separation
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自然梯度算法，实现盲源分离，体现了该方法性能-The natural gradient algorithm, realization of blind source separation, reflects the performance of the proposed method
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基于峭度的方法实现盲源分离，该程序是对四个盲信号的分离-Methods the kurtosis based on blind source separation to achieve, the program is of four blind signal separation
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三个信号的盲源分离问题，利用峭度方法实现-The three signal blind source separation, using kurtosis
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LMS自然梯度算法，在经典的最小均方(LMS)算法中引入非线性函数,得到一种非线性LMS算法.该算法根据LMS算法建立了相应的对照函数,用自然梯度推导出了自适应盲源分离算法-LMS natural gradient algorithm, in the classical least mean square (LMS) nonlinear function in the algorithm, a nonlinear LMS algorithm. The algorithm function is
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基于二阶统计量的SOBI算法，适用于盲源分离-SOBI algorithm based on second-order statistics for blind source separation
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BLIND SOURCE SEPARATION IN THE TIME FREQUENCY DOMAIN TECHBIQUES FOR SPEECH
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一种新的频域盲源分离方法，用皮尔逊系统去模拟不同频率上的信号分布，通过信号特征，选择合适的皮尔逊类型的函数去优化分离矩阵，从实现盲源分离.-A new frequency-domain blind source separation method using the Pearson system to simulate a signal on a different frequency distribution, through the signal characteristics, selec
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稀疏表达及其应用的简单介绍，其中涵盖了稀疏表示、特征提取、压缩感知、图像增强、盲源分离、模式分类、目标跟踪和图像超分辨等。PPT和PDF是对应的，并添加了可视化的结果。-Sparse Representation and Its Application: Compressive Sensing, Visual Feature, Image Enhancement, Blind Source Separation, Pattern Classification, Object Tracking a
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Principal Component Analysis (PCA) is the general name for a technique which uses sophisticated
underlying mathematical principles to transforms a number of possibly correlated
variables into a smaller number of variables called principal compone
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针对滚动轴承复合故障信号特征难以分离的问题， 提出将双树复小波变换和独立分量分析( ICA) 结合的故障诊断方
法 该方法首先将非平稳的故障信号通过双树复小波变换分解为若干不同频带的分量 由于各个分量存在一定的频率混叠， 对
故障信号特征提取有很大的干扰， 进而引入 ICA 对各个分量所组成的混合信号进行盲源分离， 从而尽可能消除频率混叠 最后
对从混合信号中分离出来的独立分量信号进行希尔伯特包络解调， 即可实现对复合故障特征信息的分离和故障识别-Aiming at the diff
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一种聚类分析算法，实现盲源分离前的盲源数估计。-A cluster analysis algorithm, the number of blind source before blind source separation estimates.
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