handselectcontrolpoints

Gauss_generator利用参数（多普勒频移、系数、相移）生成确定的实高斯过程.m gaussian确定离散多普勒频移、系数、相移的程序.m Rice_generator在瑞利过程的基础上考虑视距分量，生成莱斯过程.m Suzuki_generator成确定型Suzuki过程.m Rayleigh_Doppler_multiPath.m Rayleigh_Doppler_singlePath.m rayleigh_Filter_Model.m pdf_cdf_gen.m test_rayleigh_pdf.m rayleigh.m(Gauss_generator use parameters (Doppler frequency shift coefficient, phase shift) formation to determine the actual Gaussian process. m Gaussian identify discrete Doppler frequency shift coefficient, Phase-shifting procedures. m Rice_generator in Rayleigh process on the basis of weight to consider the horizon, Rice production process. m-Suzuki_generator identified as Suzuki process. m Ra yleigh_Doppler_multiPath.m Rayleigh_Doppl er_singlePath.m rayleigh_Filter_Model.m pd f_cdf_gen.m test_rayleigh_pdf.m rayleigh.m)

基于瞬时无功功率算法的谐波电流检测算法，有很好的谐波检测效果(Based on the instantaneous reactive power algorithm of harmonic current detection algorithm)

matlab颜色模型转换的代码程序，数字图像处理的matlab程序代码(matlab code color model conversion program, digital image processing matlab code)

变差函数、克里金插值源代码，里面有具体应用实例(Variogram, Kriging interpolation source code, there are examples of specific applications)

用matlab做的单相boost PFC的仿真模型，功率11K，采用PI双闭环数字控制方法，波形较好。(Using matlab to do the simulation model of single-phase boost PFC power 11K PI double closed-loop digital control method, the waveform is better.)

说明：  神经网络处理图像的相关样本训练方法使用时可以更快的找到训练样本特征(Associated image processing neural network training method uses the sample can be found faster training sample characteristics)

说明：  通过引入磁光材料的非互易回转因子，形成新型光束传播方法（BPM），从而计算磁光波导的非互易效应。磁光波导参数可调，非互易回转因子可调。(calculate the nonreciprocal effect of magneto-optical waveguide using the beam-propagation method based on nonreciprocal element.)

fuzzy cmeans program in matlab for segmentation

包含隐markov模型的一些关键算法 很有价值(hidden markov models include some of the key value algorithm)

联合检测技术 可用于3G/B3G系统 而且采用了QPSK调制技术 并能生成与传统检测技术的对比图样 (detection technology can be used to 3G/B3G system and adopted a QPSK modulation technology and can generate and mass EC Detection Technology contrast images)