capacity-of-ZF-and-MRT

用MATLAB实现的变色龙（chameleon）算法实现(Using MATLAB to achieve an version of Chameleon (chameleon) algorithm)

viterbi decoding and get the curve of Eb/No and bit error rate.(implement viterbi decoding using BPSK by soft decision)

使用一般PI模型拟合非线性曲线，最小二乘法参数辨识，逆模型前馈(The general PI model is used to fit the nonlinear curve, the least square parameter identification, and the inverse model feedforward.)

IEEEuwb信道模型下采用pam调整的超宽带通信仿真程序。(simulation program of ultra widebandth communicaiton using pam modulation,the channel model adopt is IEEE uwb channel model.)

提供粒子群算法的部分Matlab程序，在此基础上学习粒子群算法更方便、快捷。(Part of PSO algorithm provides Matlab program, in this based on particle swarm optimization learning more convenient and faster.)

说明：  一个图像旋转30度的matlab源代码，实现lena图像的旋转，可直接运行，思路清晰(Rotate an image 30 degrees, matlab code, to achieve lena image rotation, can be directly run, clear)

：压缩感知是近年来应用数学界提出的一套关于稀疏信号采集和重构的新理论，它突破了传统奈奎斯特采样定理 的限制，以远少于传统奈奎斯特采样定理所需的测量数据就能够精确恢复原信号或估计信号的相关参数。将压缩感知理论应 用到DOA估计，可以解决传统DOA估计中高采样率、以及较多辐射源信号条件下难以定位的限制。研究了基于压缩感知理 论的DOA估计方法，并利用MATLAB进行仿真，通过与传统MUSIC算法比较可知，基于压缩感知的DOA估计方法具有显著 的优势(The theory of Compressive Sensing(CS)is the application of mathematics in the field of a sparse signal acquisition and reconstruction of the new theory. It breaks through the traditional limitation of Nyquist sampling theorem. It can recover certain signals or estimate their parameters far fewer samples or measurements than traditional methods. The application of compressed sensing theory to DOA estimation can solve the traditional DOA estimation in high sampling rate, as well as more of the radiation source signal conditions is difficult to position limits. This paper studies the theory of DOA estimation method based on compressed sensing theory, and simulation uses MATLAB, compared with the traditional MUSIC algorithms, DOA estimation based on compressed sensing theory method has the obvious advantage)

说明：  经验模态分解的优化，达到更好的去燥效果。(The optimization of empirical mode decomposition can achieve better drying effect.)

水平集做图像分割的一个源程序，大家可以参考(levelset method)

实现人脸特征定位及人脸描述符提取功能。很好很强大。( To get started, run "demo". This detects faces in the example image, loading cached detections from files if available, localizes the facial features and extracts descriptors for each face.)