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blind-source-separation
- 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
BSS
- 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.
xuexiziliao
- 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
ica_ngA1
- 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
ICABSS
- 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.
project-1
- 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.
04470127.rar
- 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
natural-gradient-algorithm
- 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
nature
- 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
sigexinhaofica
- 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
my_ICA
- 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
LMSnature
- 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
ejiesobi
- 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
YilmazRickard2004
- BLIND SOURCE SEPARATION IN THE TIME FREQUENCY DOMAIN TECHBIQUES FOR SPEECH
FD-Pearson-ICA-in-BSS
- 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
SparseRepresentationaItsApplication
- 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
01224659
- ACTIVE SOURCE SELECTION USING GAP STATISTICS FOR UNDERDETERMINED BLIND SOURCE SEPARATlON 用统计的办法研究欠定盲分离-ACTIVE SOURCE SELECTION USING GAP STATISTICS FOR UNDERDETERMINED BLIND SOURCE SEPARATlON
SignalProcPCA
- 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
Blind-channel-shortening-in-MIMO-OFDM-systems-usi
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