文件名称:seigie_v36
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- 上传时间:2017-04-09
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文件大小:6.69kb
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从先验概率中采样,计算权重,预报误差法参数辨识-松弛的思想,是学习PCA特征提取的很好的学习资料,Matlab实现界面友好,现代信号处理中谱估计在matlab中的使用,用MATLAB实现的压缩传感,有PMUSIC 校正前和校正后的比较。
- Sampling a priori probability, calculate the weight, Prediction Error Method for Parameter Identification- the idea of relaxation, Is a good learning materials to learn PCA feature extraction, Matlab to achieve user-friendly, Modern signal processing used in the spectral estimation in matlab, Using MATLAB compressed sensing, A relatively before correction and after correction PMUSIC.
- Sampling a priori probability, calculate the weight, Prediction Error Method for Parameter Identification- the idea of relaxation, Is a good learning materials to learn PCA feature extraction, Matlab to achieve user-friendly, Modern signal processing used in the spectral estimation in matlab, Using MATLAB compressed sensing, A relatively before correction and after correction PMUSIC.
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