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Linear discriminant analysis (LDA) and the related Fisher s linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterizes or separates two or more classes of objects or events. The resulting combination may be used as a linear classifier, or, more commonly, for dimensionality reduction before later classification.

本程序对超高斯和亚高斯性信源的多路信号进行混合，然后用MDL、AIC、特征值分解、GIC、IAIC几种算法对上述混合信号个数进行估计。(The procedure for multiple signals super-Gaussian and sub-Gaussian sources are mixed, then MDL, AIC, eigenvalue decomposition, GIC, IAIC several algorithms for estimating the mixed signal number.)

在系统辨识中，应用多级最小二乘可以很好的估计出噪声系数(In system identification, the application can be multi-stage least squares estimates of the noise figure)

数字图像处理，（傅立叶变换，小波变换，锐化算法，直方图均衡化等）

说明：  本例是一个采用matlab的GUI生成程序(This example is a GUI generated by the program matlab)

数学建模中画散点图，伪彩色图，等高线图，三维曲面图；数据可以从excel中直接导入.(Mathematical modeling of scatter diagram, pseudo color map, contour map, 3-D surface chart data from the excel directly.)

Dear all find here important tool box for dimension reduction. TOOL box contaion PCA, ICA, LBP, Kernel LDA, Kernel PCA etc Enjoy!!!!!!!!!!!!!!!!

小波分析语音信号并计算各IMF包络的能量熵(Wavelet analysis of vibration signals and calculate the energy entropy IMF envelope)

sar图像去噪的几种新的方法，从先验概率中采样，计算权重，二维声子晶体FDTD方法计算禁带宽度的例子。( Several new methods sar image denoising, Sampling a priori probability, calculate the weight, Dimensional phononic crystals FDTD method calculation examples band gap.)

利用T2FNN進行MEC建模,針對IC散射現象進行量測與模擬比較(Type 2 fuzzy neural network for EMC)