搜索资源列表
reduce-movement-artifacts-in-fNIRS
- 脑功能近红外光谱的运动伪迹移除方法三次方样条插值方法-Brain functional near infrared spectroscopy Motion artifact removal method cubic spline interpolation method
PCA-for-MA-removal-in-fNIRS
- 基于主成分分析的脑功能近红外光谱的运动伪迹移除方法-Motion artifact removal method for brain functional near-infrared spectroscopy based on Principal component analysis
CBSI-in-fNIRS
- 基于负相关的信号改善方法在脑功能近红外光谱成像中（运动伪迹移除）-Negative correlation-based approach to improve signal (to remove motion artifacts) in brain functional near-infrared spectroscopic imaging
wavelet-methods
- 基于离散小波变换的运动伪迹移除方法在脑功能近红外光谱成像中-Motion artifact remaval based on discrete wavelet transform method in brain functional near-infrared spectroscopic imaging
Kalman-and-Wiener-filtering
- 脑功能近红外光谱成像中的运动伪迹移除方法基于卡尔曼滤波和wiener滤波-Motion artifact removal methods based on Kalman filtering and wiener filtering in brain functional near-infrared spectroscopic imaging
tPCA-for-MA-removal-in-fNIRS
- 在脑功能近红外光谱成像中基于伪迹检测的主成分分析运动伪迹移除方法(靶向主成分分析去噪方法)-In brain functional near-infrared spectroscopic imaging, motion artifact removal method based on motion artifact detection PCA(targeted principal component analysis denoising
PLS_NIR
- 近红外光谱建模 进行定量分析 偏最小二乘法-very good
BP-Model-of-NIR
- 近红外光谱分析中的BP模型建立过程，其中在原有BP神经网络模型的基础上自己编程加入了近红外模型验证系数的计算，如R-SquareC.R-SquareP,RMSEC,RMSEP,RSD等。并加入循环语句，设定区间程序可以自动运行并判断最佳隐含层结点数，最佳学习速率，动量因子，训练次数等，同时加入一个验证校正模型实例。-The process of BP model in near infrared spectrum analysis, i
PLS
- PLS程序，用于线性回归,数据应用的是近红外光谱和溶液浓度-PLS program,it is used for linear regression.The data is near infrared spectrum and solution concentration
PLS_1
- 注释以“基于近红外光谱分析的汽油组分建模”为例，但本程序的适用范围绝不仅限于此-Notes to the " NIR-based gasoline component model" for example, but the scope of this program is by no means limited to
pls
- pls源码，偏最小二乘法源代码。常用于近红外光谱分析-pls algothm
matlab
- 对近红外光谱进行光滑处理的两种方法，很有用处。-Two methods of near infrared spectroscopy to smooth, very useful.
anneal
- MATLAB的anneeal算法，用于近红外，希望可以帮助到大家- anneal MATLAB algorithm, very useful, I hope to learn some help
BPYUCE
- 分别用BP神经网络和RBF神经网络实现近红外光谱的汽油辛烷值预测，两种方法用相对误差以及决定系数进行性能评价，最后绘制图仿真曲线。有较为详细的注释，并有仿真数据-Respectively with BP neural network and RBF neural network Near Infrared Spectroscopy Gasoline Octane prediction, two methods relative erro
OSC
- 正交信号校正，用于处理红外及近红外光谱数据，以改进定量校正模型精度-OSC for processing infrared and near-infrared spectral data in order to improve the accuracy of quantitative calibration model
multilda
- 多分类线性判别分析，主要用于近红外及红外光谱等多元数据的模式识别问题-Multi-classification linear discriminant analysis, mainly used for pattern recognition problems near infrared and infrared spectroscopy, multivariate data
wtsm-mgauss1
- 近红外wt-gauss，深入研究近红外的应用，以及进一步的发展-Near infrared wt-gauss, in-depth study of near infrared applications, as well as further development
kenstone
- 主要用于建模校正集和预测集样品的选择。近红外光谱模型-Mainly used for modeling calibration set and prediction set of samples to choose from.
guangpu
- 主成分分析法，主要用在光谱处理上的，包括可见和近红外光谱，对于其他的一些统计学数据也比较适用，包括原数据和处理后的数据-Principal component analysis (pca), mainly used on spectrum processing, including visible and near infrared spectrum, and is also applicable for other statistic
panbie
- 判别方法，支持向量机与马氏距离判别法，用在可见及近红外光谱分析上百分之一百可以，自己写的，最好是matlab2014a，这个版本可以使用-Discriminant method, support vector machine (SVM) with markov distance criterion, with one hundred percent in the visible and near infrared spectrum an