introduction-to-reference-frame-theory

matlab7入门与提高(Getting Started with matlab7 improve)

改进的KPCA，输出各特征属性，方差相同(improvement of kpca,it can put out the same var in every direction)

关于主成分分析(PCA)的MATLAB程序(MATLAB)

to plot in matlab

power_turbine,matlab仿真文件,电力电子、功率电子控制方面很有价值，调试通过(aspects of power_turbine, matlab simulation files, power electronics, power electronics control valuable debugging through)

说明：  在聚类分析中,模糊c-均值算法是应用最广泛的聚类算法之一,针对该算法对初始化敏感,容易陷入局部极小点的缺点,论文提出了一种基于核的模糊聚类算法.在算法中将核方法与模糊可能性算法相结合,将模糊c-均值算法结果作为初始中心,放松了对隶属度归一化的条件,对噪声有更好的处理能力.IRIS数据和人造数据的实验结果表明该算法的有效性(Chun-Fu Lin,Sheng-De Wang.Fuzzy support vector machines.[J].IEEE transactions on neural networks / a publication of the IEEE Neural Networks Council,2002,13(2).464-71.)

对语音信号加入窄带噪声并用小波去除噪声并显示结果(add narrowband noise to signal and decrease it with wavelet)

欧式股票期权的显式差分定价法,通过输入股票期权的波动率、贴现率、标的资产的定价等相关数据，计算出股票期权的理论价格(the explicit differential pricing method in European stock options )

SAR数据，经典Freeman-Durden极化分解程序，(SAR data, a classical Freeman-Duren decomposition procedure, helps better understand polarimetric decompositionenhancement, etc.)

一个最速下降的开发, matlab的代码示例。希望对大家有所帮助(steepest descent)