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主成分分析法在数学建模中的应用 使用主成分分析法的matlab 编程(Principal component analysis in mathematical modeling using principal component analysis method matlab programming)

这是几何代数的matlab工具包，一般的matlab中不含有．(This is the geometric algebra matlab toolkit matlab in general do not contain.)

Floyd算法,对研究通信网性能分析很有帮助(Floyd algorithm, the study of communication network performance analysis very helpful)

联合格自适应交互多模型算法。根据目标情况调整格间距。(United grid adaptive interacting multiple model algorithm.)

toolbox for dimensionality reduction, including PCA

MATLAB曲面拟合（注：本例参考他人）(MATLAB surface fitting (Note: in this case a reference to others))

matlab studio exercise 2

efficient LBP Local binary patterns (LBP) is a type of feature used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990.[1][2] LBP was first described in 1994.[3][4] It has since been found to be a powerful feature for texture classification it has further been determined that when LBP is combined with the Histogram of oriented gradients (HOG) descriptor, it improves the detection performance considerably on some dataset

bisection method implementation in matlab

matlab code for envelope detector for analog communications.