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Part 1: Introduction to an overview of electronic authentication

如何用VC6.0和MATLAB进行联合编程文章(How to conduct a joint program VC6.0 and MATLAB article)

Transform the rgb color space to lab color space.Assume that white point is D65(Transform the rgb color space to lab color space.Assume that white point is D65)

signals and systems matlab codes

采用快速傅里叶变化，进而获得函数的相频特性和幅频特性(Phase frequency characteristics amplitude-frequency characteristics using the fast Fourier transform, and then get the function)

有循环检测，周期性检测，连续相位调制信号(CPM)产生，解耦，恢复原信号。( There are cycle detection, periodic testing, Continuous phase modulation signal (CPM) to produce, Decoupling, restore the original signal.)

说明：  本次上传的matlab代码，是基于Mantegna方法模拟萊维飞行，生成levy飞行图；总的飞行次数参数可根据需要更改。(The uploaded matlab code is based on Mantegna method to simulate Levy flight and generate Levy flight chart; the total number of flight parameters can be changed as needed.)

适当选择辅助变量，使之满足相应条件，参数估计值就可以是无偏一致。估计辅助变量法的计算量与最小二乘法相当，但辨识效果却比最小二乘法好的多。尤其当噪声是有色的，而噪声的模型结构又不好确定时，增广最小二乘法和广义最小二乘法一般都不好直接应用，因为他们需要选用特定的模型结构，而辅助变量法不需要确定噪声的模型结构，因此辅助变量法就显得更为灵活，但辅助变量法不能同时获得噪声模型的参数估计。(Choose appropriate secondary variables, meet the relevant conditions and parameter estimate can be unbiased consistent. Estimated auxiliary variable method calculation and least square method is quite, but the identification effect is much better than the least square method. Especially when the noise is colored, and noise model structure and not sure, augmented the least squares and the generalized least squares method is generally not used directly, because they need to choose specific model structure, and auxiliary variable method does not need to make sure that noise model structure, so the auxiliary variable method is more agile, but not at the same time auxiliary variable method for noise model parameter estimation.)

calculating in matlab 16 qam used in digital communication

卡尔曼滤波仿真程序，MATLAB仿真，可以使用(Kalman filter simulation program, MATLAB simulation, you can use)