paxmle

说明：  matlab科学计算继续上传，一共10个章节，由浅入深，几乎包括了绝大部分的科学计算方法以及仿真。本人把部分算法做了优化，更为完善(matlab scientific computing continue to upload, a total 10 chapters, easy-to-digest, almost, including most of the scientific method of calculation and simulation. I have done a part of algorithm optimization, a more perfect)

《现代图像处理技术及Matlab实现》书籍配套源代码(" Modern Image Processing Technology and Matlab to achieve" complete source code book)

WalshHadmard code for CDMA system..

说明：  C++的学习代码 共有50个 对于初学者很有用(Learning C++ code there are 50 very useful for beginners)

matlab基础入门以及基础应用。全英文版的文档。(matlab user s guide)

J2000 to WGS84 坐标矩阵转换(J2000 to WGS84 coordinate matrix transformation)

已知高程的水准点和待定点，观测高差和相应的水准路线长度，间接平差求各待定点的高程平差值； (Known elevation level point and pending points observed height difference and the corresponding level of route length, indirectly the elevation level difference between the adjustment and the pending points )

无线信道Matlab仿真是无线通信系统最基础的部分，信道建模和仿真对无线通信系统的研发具有重要意义，因此，对无线信道进行研究具有理论意义和实际应用价值。(Matlab wireless channel emulation is the most basic part of the wireless communication system, channel modeling and simulation of great significance for the development of wireless communication systems and, therefore, on the radio channel research has theoretical and practical value.)

课程设计中实现matlab的最优化设计，程序代码包括各种算法，如最速下降法 共轭梯度法，牛顿法，修正牛顿法，拟牛顿法，信赖域法，显式最速下降法， MDOMxw梯度投影法，修正G－N法，基本粒子群算法，带压缩因子的粒子群算法，权重改进的粒子群算法，ZMGGiit二阶粒子群算法等等。 (Curriculum design to achieve matlab optimization design, program code includes a variety of algorithms, such as the steepest descent method conjugate gradient method, Newton s method, modified Newton method, quasi-Newton method, trust region method, explicitly steepest descent method, MDOMxw gradient projection law, amendment G-N method, particle swarm algorithm, particle swarm algorithm with compression factors, weights improved particle swarm optimization, ZMGGiit second-order particle swarm optimization and so on. )

This code is face localization programme. It reads faces from yale database and localize the face in the image.