houghl1

1. 按照式计算相似性矩阵 2. 排除自身的相似度 3. 按照式计算归一化矩阵 4. 按照式计算归一化拉普拉斯图矩阵L 5. 计算L的特征向量，将前个特征值最大的向量按列放置成一个矩阵，即依次为前个特征值最大的特征向量 6. 归一化X形成矩阵Y 7. 对矩阵Y按每行为一个数据点，进行k-means聚类，第行所属的类就是原来所属的类。(1. similarity matrix based on formula computation 2. rule out your own similarity. 3. normalized matrix based on formula computation 4. normalized formula Laplasse matrix L according to formula. 5. Calculate the eigenvectors of L. Place the vectors with the largest eigenvalues in columns into a matrix, that is, the eigenvectors with the largest eigenvalues in turn. 6. normalized X formation matrix Y 7. K-means clustering is applied to matrix Y according to one data point per behavior. The first row belongs to the original class.)

scalar costa watermarking

中大数计的matlab的ppt,数学建模竞赛资料(The large numbers of dollars matlabppt)

关于单载波频域均衡的研究，将LMS算法引入SC_FDE系统当中(Equilibrium studies on single-carrier frequency domain, the LMS algorithm is introduced which SC_FDE system)

自己写的读取视频，提取关键帧和帧差源程序(Read write their own video, extract the source key frame and frame difference)

语音端点检测算法，在matlab里面实现语音端点的准确检测。为读者开发噪声环境下的精确VAD提供思路.(voice endpoint detection algorithm in Matlab voice inside the precise endpoint detection. Readers development under noisy environments to provide accurate VAD ideas.)

practicas de siste mas lineals

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求解L1范数最优化的一个程序包，里面包括源码、说明文档及相应论文(l1 ls A Matlab Solver for Large-Scale ℓ 1-Regularized Least Squares Problems)

使用自适应逼近的短期负荷预测，为matlab代码，程序较为简单(The use of adaptive approximation of the short-term load forecasting for the matlab code, the program simple)