matlab_code_for_arma_spectrum_estimation

MATCOM与VC_混合编程中自定义函数作为输入参数的调用方法.PDF(Mixed programming with VC_ MATCOM defined function call method as an input parameter. PDF)

QAM调制信号生成，可针对多种类型成型滤波器(QAM modulation signal generation can be formed for a variety of types of filter)

音频系统，coding, modulation, AWGN, 通过最小距离探测码元，解码，播放。根据不同的SNR，测试在多小的SNR情况下，人耳能识别音频。(Audio systems, coding, modulation, AWGN, by minimizing the distance detection symbol, decoding, playing. Depending on the SNR, the test in the case of multiple small SNR, the human ear can identify audio.)

基于matlab的深度学习工具箱，该工具箱内包含一个基于手写识别的cnn模型，注释清晰。(Based on the depth of learning matlab toolbox, the toolbox contains within a model based on handwriting recognition cnn, clear notes.)

MATLAB的三维重建程序，很好用的，其中有两个函数(MATLAB three-dimensional reconstruction process, a very good use, there are two functions)

说明：  用于单变量的偏最小二乘回归，直接给出回归系数。 X0是自变量矩阵，Y0是因变量向量，PRESS是去除其中某一个样本而回归出的方程对 缺失样本的误差估计，SS则是使用全部样本回归出的方程对同一个样本的误差估计。 在h个成分时，计算PRESS_h与SS_h-1，若1-PRESS/SS大于0.0975时，应增加成份。 [row,col]=size(pz) (For single-variable partial least squares regression, regression coefficients are given directly. X0 is the independent variable matrix, Y0 is the dependent variable vector, PRESS is to remove one of them out of the sample and the regression equation for missing samples error estimates, SS is the use of all of the sample regression equation out of a sample of the same error estimates. In h constituent, the calculation PRESS_h and SS_h-1, if the 1-PRESS/SS greater than 0.0975, to increase the ingredients. [Row, col] = size (pz) )

含有滤波器的源程序，并且能够顺利的运行，希望能给你一些参考！(this file has the m file of adaptive filter and it can run smoothly,can give you some reference)

均匀线阵的仿真，每行后有详细的解释，对于初学者有很大的帮助(the unit line arry simulation it can help the new student learn easily and deeply )

改进的共轭梯度法，具有很好的收敛效果，达到整体最有，在MATLAB中实现。(Improved conjugate gradient method, has a good convergence effect, to achieve the overall most realized in MATLAB.)

三个空间错开漩涡光束左旋螺旋形焦点在xZ平面的强度分布计算程序(xz distribution of left-handed spiral focal spot)