genetic2

human pose estimation

matlab教程，matlab参考书，学习matlab必备啊！(matlab for study.)

说明：  边缘预测提出了一种基于预测的、有一定自适应性的边缘检测方法。介绍了其原理和算法实现过程。通过计算两个相邻像素的灰度值的均值、均方差和梯度来预测下一个像素的灰度值,比较预测值和真实值来判断下一个像素是否是边界点。通过与现有同类算法的比较,证明了该算法的优越性(A predictive and adaptive edge detection method is proposed. The principle and implementation process of the algorithm are introduced. The gray value of the next pixel is predicted by calculating the mean, mean square deviation and gradient of the gray value of the two adjacent pixels. The prediction value and the real value are compared to determine whether the next pixel is a boundary point. The superiority of this algorithm is proved by comparing with the existing similar algorithms.)

matlab code riley distribution

One Rank Cuckoo Search (ORCS) algorithm Implementation of the ORCS optimization algorithm.

surf算法，实现特征点检测和匹配.文件内有两个图像匹配实例(surf algorithm, feature point detection and matching)

Finite element solver for therma 1D process.

利用Matlab软件编程实现DDS（直接数字频率合成技术）。设时钟的频率为固定值f_C，在CLK的作用下，如果按照0000,0001,0010，…，1111的地址顺序读出ROM中的数据，即表1中的幅值编码，其正弦信号频率为f_01；如果每隔一个地址读一次数据（即按0000,0001,0100，…，1110顺序），其输出信号频率为f_02，且f_02将比f_01提高一倍，即f_02=2f_01；其余类推。这样，就可以实现直接数字频率合成器的输出频率的调节。(Matlab software programming DDS (direct digital frequency synthesis). Clock frequency set to a fixed value f_C, under the effect of CLK, according to 0000,, ..., 1111 of the sequence of addresses in the ROM reads the data, i.e., the amplitude of the encoding in Table 1, the frequency of the sinusoidal signal f_01 if every time a read address data (ie 0000,0001,0100, ..., the order of 1110), the output signal frequency is f_02, and f_02 f_01 than doubled, i.e. f_02 = 2f_01 rest on. This allows direct digital frequency synthesizer output frequency regulation.)

Face recognition using L1 norm minimization 1.0 :Read the following paper for details of the algorithm - Robust Face Recognition via Sparse Representation by John Wright, Arvind Ganesh, and Yi Ma , Coordinated Science Laboratory, University of Illinois at Urbana-Champaign and Allen Yang, Electrical Engineering and Computer Science, University of California Berkeley.

watermarking using dwt