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for fingerprint identification

说明：  一种用于正向旋转和反向旋转PCA载荷的工具箱(a freeware function to rotate and counterotate scores or loadings (MATLAB- uses PLS_Toolbox))

matlab/simulink 整流器二电平仿真源代码，修改参数后即可使用 个人原创，亲自调试可用(Two-level converter simulation source code)

此为《MATLAB图像处理手册》的开源代码，希望大家共同提高。(This is the MATLAB Image Processing Handbook, the source code, we hope to improve together.)

EMD端点效应新文献资料；带端点延拓的EMD和原始EMD的matlab程序；画包络谱和幅值谱的matlab程序；供研究者参考(End effect of EMD literature endpoint extension of EMD and original EMD matlab program painting envelope spectrum and amplitude spectrum matlab program for researchers reference)

模拟机器人路径规划,采用强化学习中的Q学习算法来实现,最后会返回机器人选择路径的坐标位置(code for path searching)

自适应粒子群算法，自适应粒子群算法，在普通的粒子群算法里面加入了熵和平均粒距的概念，收敛速度大大提高，而且不容易陷入局部最优，能更有效的解决复杂问题。(Adaptive particle swarm algorithm, adaptive particle swarm optimization, in which ordinary PSO joined the entropy and the concept of average distance, speed up the convergence, but not easy to fall into local optimum, more effective solutions to complex problems.)

good way to strat learning how to work in android plateforme

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

1了解离散余弦正变换和逆变换的原理； 2理解离散余弦变换系数的特点； 3了解离散余弦变换在图像数据压缩中的应用； 4通过本实验掌握利用MATLAB编程实现数字图像的余弦变换； (1 for the discrete cosine transform and inverse transform principle understand the characteristics of the discrete cosine transform coefficients 3 for discrete cosine transform image data compression 4 master using MATLAB programming for digital image cosine transform through this experiment )