RRR-PRPsimulation

曲面光照matlab演示例程，通俗易懂，简单易学(Surface light matlab demo routines, user-friendly)

说明：  9节点PQ算法9节点PQ算法9节点PQ算法9节点PQ算法(nine bus)

核主元分析程序,基于主元分析进行开发编写，可实现核空间数据降维(KPCA program developed to prepare based on principal component analysis, nuclear spatial data dimensionality reduction)

Designs a linear phase FIR lowpass filter such that it: - minimizes maximum stopband attenuation - has a constraint on the maximum passband ripple This is a convex problem (when sampled it can be represented as an LP). minimize max |H(w)| for w in the stopband s.t. 1/delta <= |H(w)| <= delta for w in the passband ( where H is the frequency response function and variable is h (the filter impulse response). delta is allowed passband ripple. )

可将数据平均化，将样本中的异常样本剔除掉，剔除异常样本后进行数据平均(The data can be averaged, the samples of the abnormal sample removed, remove the abnormal sample after the data average)

采用图像检测算子，包括canny,LOG,prewit,roberts,kirsch算子等，采用MATLAB 开发环境实现图像边缘检测。(complete the edge detection of pictures by all kinds of methods with matlab)

Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (LARS) and elastic net (LARS-EN) regression. There also exists a method for calculating principal components with sparse loadings. This software package contains Matlab implementations of these functions. The standard implementations of these functions are available as add-on packages in S-Plus and R. Keywords LASSO, LARS, SPCA, Matlab, Elastic Net, Sparse, Sparsity, Variable selection

说明：  Matlab 工程数学应用 清华大学出版社 详细介绍了Matlab在高等数学，线性代数，符号运算，图形处理，数据处理方面的应用。(failed to translate)

说明：  一个动态遗传算法代码 matlab的,采用全方位的两点杂交、两点变异的改进的加速遗传算法（IAGA）(A dynamic genetic algorithm matlab code, the use of comprehensive two hybrid, two variations of improved accelerating genetic algorithm (IAGA))

polar plot for signal loss