gra

稀疏表示分类算法在ORL人脸库上的实验，参考文章： Wright J, Yang A Y, Ganesh A, et al. Robust face recognition via sparse representation[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2009, 31(2): 210-227. (Sparse representation classification algorithms on ORL face experiments, refer to the article: Wright J, Yang AY, Ganesh A, et al Robust face recognition via sparse representation [J] Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2009, 31 (2):.. 210-227.)

形态学代码，腐蚀膨胀循环结构，和重构信号，几个代码，完全自己编写。(Morphological code, corrosion expansion cycle structure, and the reconstructed signal, a few code, write your own completely. )

一篇在60GHz毫米波信道环境下人体影响的建模文章(A paper on modeling the impact of human body effect on 60GHz millimeter wave channel)

CIC(Cascaded Integrator Comb) filter, 即级联积分梳状滤波器, 具有结构简单, 便于处理, 运算速度快等特点(CIC(Cascaded Integrator Comb) filter)

lot重叠正交变换快速算法，matlab源代码。(lot lapped orthogonal transform fast algorithm, matlab source code.)

这是一本非常好的书，对于学习matlab非常有用处，（用超星阅读器打开）(This is a very good book for learning matlab very useful, (with Chaoxing Reader to open))

Matlab的入门教程PPT 1、MATLAB 7简介 2、MATLAB 7安装方法 3、基本的使用方法 4、数值向量和数组 5、字符串、单元数组和结构 6、符号运算 7、图形运算 8、图形处理 9、GUI图形设计 10、MATLAB 7程序设计(Matlab Tutorial PPT 1, MATLAB 7 Introduction 2, MATLAB 7 installation methods 3, the basic use 4, numerical vectors and arrays 5, strings, cell arrays and structures 6, symbolic computation 7 graphics computing 8 graphics processing 9, GUI Graphic Design 10, MATLAB 7 Programming)

一个bayes 算法的face recognisation的matlab code，是我的一个作业(A Bayes algorithm face recognisation the matlab code, is one of my operation)

说明：  matlab实现：①递推增广最小二乘参数估计（RELS）②确定性系统的递推梯度校正参数估计（RGC）③递推最小二乘参数估计（RLS）④递推极大似然参数估计（RML）⑤递推随机牛顿参数估计（RSNA）(Matlab: (1) augmented recursive least square parameters estimation (RELS) (2) of a deterministic system recursive gradient correction parameter estimation (RGC) (3) recursive least squares (RLS) (4) parameter estimation, the recursive maximum likelihood parameter estimation (RML) (5) recursive random Newton parameter estimation (RSNA) )

求逐月异常序列x(n,12)和y(n,12)(n是年)的相关系数r(24)，其中j=1～12是1～12个月的情形，13～22是冬、春、夏、秋、冬季逐月、春季逐月、夏季逐月、秋季逐月、逐月、年、冬半年逐月（NDJFMA）、夏半年逐月（MJJASO）的序列的情形 (Abnormalities associated)