gold

对lena.map先分块处理，然后做cs变换，观测矩阵用随机高斯矩阵，重构算法用l1算法(On lena.map first block processed, and then do cs transform, random Gaussian matrix with the observation matrix, reconstruction algorithm algorithm using l1)

matlab code from mathworld

非常有用的多类支持向量机的程序实例，包含实例(multi-class support vector machine instance, contains examples)

A detail Matlab simulation code example for BFSK performance

EKF与PF在目标跟踪中的一个简单比较，比较实用(EKF and the PF in the target tracking in a simple comparison of practical)

有关卷积码的一片文档，内容比较简单，适合入门。可以作为了解其原理。(A document about convolution code, content is relatively simple, suitable for entry.Can be used as understand its principle.)

Matlab 计算听觉场景分析的语音分离(computational auditory scene analysis of speech separation in Matlab )

PCA主成分分析算法用于人脸识别的例子。此算法是基于矩阵特征值的排序而提取出主要成分的。(PCA principal component analysis algorithm for face recognition example. This algorithm is based on the ranking of the matrix eigenvalue extracted principal components.)

该压缩包包含计算l1范数的最优化问题及使l1还原数据(Computing l1 norm optimization problem)

递归算法 [1 1 1 1 1 0 1 0 0 0 1 0 0 0 0 1 1 0 0 0 1 1 1 0 0 1 1 1 1 0] t=[0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1] 给权值赋初值 w1=eye(5,10) w2=eye(10,5) wr=eye(10,10)/3 wobias=eye(6,5)/4 wbias=eye(6,10)/3 x=ones(6,10)/3 ww2=zeros(10,5)/6 ww1=zeros(5,10)/6 wwr=zeros(10,10)/6 wwobias=zeros(6,5)/5 wwbias=zeros(6,10)/4 g=[1 1 1 1 1] f=[1 1 1 1 1 1 1 1 1 1] (Recursive algorithm)