搜索资源列表
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- 基于盲源分离的语音识别前端语音净化处理研究
aaa
- 盲源分离的好文章，可以帮助大家很好的了解超完备盲源分离-Blind Source Separation good article can help you a good understanding of overcomplete blind source separation
ocica97-p
- 盲源分离的好文章，可以帮助大家很好的了解超完备盲源分离-Blind Source Separation good article can help you a good understanding of overcomplete blind source separation
Wavelet_De-noising_for_BSS
- 提出了三种小波滤波和盲源分离的结合方法，用于带噪信号的分离，-Three wavelet filtering and the combination of blind source separation method for separation of signals with noise,
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- HHT时频分析方法的研究与应用 HHT时频分析方法的研究与应用-hht
qqqqq
- ：独立成分分析 ( I C A)在国内尚属一门新型的方法 介绍了I C A的原理及其算法 ，然后介绍了该算法在盲源 信号分离中的具体应用，并将此方法 与主成分方洼 ( P C A)进行了比较-: Independent Component Analysis (ICA) in China is a new method to introduce the principle of the ICA and its algorithm, and then introduced the algori
BlindSourceSepareating
- 基于盲源分离的地震资料去噪技术，对于做地震资料处理的人有帮助-Blind source separation based on seismic data denoising technique for processing seismic data do help people
Blind
- 张丽清教授的盲源分离讲义，一个会议下载的。有参考价值-Blind Source Separation of Pro. ZHANG liqing
xianda-zhang
- 张贤达的盲信号处理讲义 包括盲源分离，斜投影。联合对角化。非负矩阵分解的介绍-blind source separation by Pro. Zhang xian da.
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.
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
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- 频域盲源分离与波束形成结合抑制方向性强干扰方法(Combination of frequency domain blind source separation and beamforming to suppress directional strong interference)