OFDM

相控阵天线阵列的密度加权matlab程序代码。 运行gui.m文件 lmax.m和lmin.mLinear_func.m最后几行被调用，放在和Linear_func.m路径相同的文件夹下即可 运行后command window里第一条分割线上面是第一幅图的几个值，第二条分割线上面是第二幅图的几个值。其中，peak_first是数值最大的峰值，peak_second是数值第二大的峰值(第一旁瓣)，theta_var是与 peak_first最近的左右两个谷值横坐标的距离。 因为是找半峰值点的，因为都是小数，在数组里没有正好等于主瓣幅值一半的点，只有接近一半的点，所以要设定一个范围比如大0.05或小0.05都认为是半峰值，但是有的数组里0.05的范围还是太小，所以可能报错。(Phased array antenna array the density weighted matlab program code. The last few lines of the run gui.m the file lmax.m lmin.mLinear_func.m call, same placed Linear_func.m path folder above the dividing line of the command window to run the first picture the several values ​ ​ above the dividing line several values ​ ​ of the second image. Wherein, peak_first numerical maximum peak the peak_second is the the numerical second largest peak (first sidelobe), the theta_var is the abscissa and peak_first recent about two valley distance. To find half the peak point are decimal, the array does not just equal to main lobe amplitude half points, only nearly half points, so you want to set a range, such as 0.05 or 0.05 are considered semi-peak some array, but the range of 0.05 or too small, it may be an error.)

Multidirectional search for optimization1

内含心电信号数据及运用MATLAB写的源代码，是国外的成品模型，小波包分析提取振动信号中的特征频率。( ECG data and includes source code written in MATLAB, Foreign model is finished, Wavelet packet analysis to extract vibration signal characteristic frequency.)

使用matlab进行矩阵的高斯分解,可以对高阶线性方程进行数值求解(use Matlab for Gaussian decomposition of the matrix, the high-order linear equations were solved numerically)

MATLAB LSB İ MPORTANT

利用matlab里面的m文件，其中分为两种：脚本文件和函数文件，对其进行调用(Using matlab inside the m file, which is divided into two kinds: script files and function files)

运行结果良好的三个RLS算法，供大家参考使用(good operating results in three RLS algorithm, for reference use)

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.)

变步长的LMS自适应滤波算法(matlab)(variable step LMS adaptive filter algorithm (Matlab))

ATM skimmingia a method used by criminals to capture data from the magnetic stripe on the back of an ATM card.