搜索资源列表
ica独立分量分析
- 独立分量分析ica代码,用matlab编写的,希望有所帮助
itpp-3.10.1.tar
- 独立分量分析程序FASTICA的C++源代码-FASTICA procedures for the C + + source code
JnS-1.2(cardoso)
- cardoso的独立分量分析(ICA)的特征矩阵联合近似对角化(JADE)方法。-Cardoso independent component analysis (ICA) features similar to the joint matrix diagonalization (JADE ) method.
ica_matlab
- 用于盲信号分离的独立分量分析ICA算法,运行于Matlab-for Blind Signal Separation of independent component analysis ICA algorithm running in Matlab
ifa20
- 变分独立因子分析C++代码,H.Attias说比独立分量分析要好,但是这个程序分析效果不好,可能是程序问题,也可能是对理论理解不透
ICA-R
- 一种改进的ICA-R算法。ICA-R意为参考信号独立分量分析,较ICA有很多优点。
ICA-NET
- 独立分量分析法结合神经网络用于股票价格预测-Integrating independent component analysis-based denoising scheme with neural network for stock price prediction
proganm
- 非线性独立分量分析(ICA)源码,主要是用于非线性ICA进行盲源分离算法的函数-Nonlinear independent component analysis (ICA) source, mainly for non-linear ICA for blind source separation algorithm function
EdF-read
- 快速定点独立分量分析算法编码能有效提取心电或脑电信号-Fast fixed-point independent component analysis algorithm can effectively extract the encoded ECG or EEG
ica_demo
- 独立分量分析旨在对独立信源产生且经过未知混合的观测信号进行盲分离,从而重现原独立信源,其应用主要集中在盲源分离和特征提取两方面-Independent component analysis is designed to blind separation and after the unknown mixture of observed signals, which reproduce the original independent source independent source, its
ica
- 使用快速ica算法得到了独立分量分解,在设定独立分量个数后,可将复杂数据进行分量分解-To use rapid ica algorithm independent component decomposition of the complex data set independent of the number of components, component decomposition
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- 齿轮箱早期的故障信号往往十分微弱,信噪比低,这大大限制了已有诊断方法在早期诊断中的应用,因此如何获取真实的振动信号是提高齿轮箱早期故障诊断质量的关键,独立分量分析(ICA)为此提供了一种新的思路。文 中研究了ICA在齿轮箱故障早期诊断中的应用,首先分析了齿轮箱的混合振动信号模型,然后针对具体的轴承故障进行了实验,并使用快速ICA算法分离出轴承的振动信号-The early gearbox fault signal is often very weak, low signal-to-noise
333
- 若信号间的能量和频率比例过大,经验模式分解不能分解出正确的单一模式分量。针对这 种状况提出一种经验模式分解与独立分量相结合的信号分析方法。该方法能分离出 IMF 分量的固有特性, 消除EMD分解过后各IMF之间信息混淆问题,恢复各个单分量所丢失的信息特性,改善了经验模式分解能力不足所带来局限性,保障经验模式分解的有效性。-If the signal energy and frequency ratio is too large, the empirical mode decomposit
psogaijinsuanfa
- 基于粒子群算法改进算法的独立分量分析算法研究-Independent component analysis algorithm based particle swarm algorithm to improve the algorithm
ZSYFLJS
- 基于自适应学习率独立分量分析的图像盲分离-Blind adaptive learning rate based on independent component analysis separated
PCAaICA-2
- 一位很厉害导师的课件,详细地讲解了独立分量分析的相关原理。 -A very powerful mentor courseware, explained in detail the independent component analysis of the relevant principles.
staah
- 采用的是通用的平面波展开法,基于负熵最大的独立分量分析,基于K均值的PSO聚类算法。- Using common plane wave expansion method, Based on negative entropy largest independent component analysis, K-means clustering algorithm based on the PSO.
db055
- 最终的权值矩阵就是滤波器的系数,GPS和INS组合导航程序,最大信噪比的独立分量分析算法。- The final weight matrix is ??the filter coefficient, GPS and INS navigation program, SNR largest independent component analysis algorithm.
2002
- sar图像去噪的几种新的方法,最大信噪比的独立分量分析算法,基于分段非线性权重值的Pso算法。- Several new methods sar image denoising, SNR largest independent component analysis algorithm, Based on piecewise nonlinear weight value Pso algorithm.
kunqanpeng
- 基于负熵最大的独立分量分析,保证准确无误,是学习通信的好帮手,计算十字叉丝的在不同距离的衍射图像。- Based on negative entropy largest independent component analysis, Ensure accurate communication is learning a good helper, Calculation crosshairs diffraction image at different distances.