NI-VeriStand-Custom

vc与matlab联调，由matlab编写m文件，生成com组件，然后vc调用com组件，完成vc与matlab的接口(FBI vc with matlab, matlab prepared from m file to generate a com component, com component then vc call to complete the vc interface with matlab)

Matlab图像滤波的源码，结合GUI，对于初学者，简单易用(Image Filtering Matlab source code, combined with GUI, for beginners, easy to use)

用Matlab编写的关于Volterra级数算法的程序，有正在研究Volterra级数的可以看看并提出改进意见，THk(Using Matlab prepared on the Volterra series algorithm procedures, there are studies Volterra series can look and suggest improvements, THk)

Cooperative communication simulation model.

matlab程序，遗传算法，残损原料下料的主程序(matlab program, genetic algorithm, the main program of the damaged raw feed)

基于分段非线性权重值的Pso算法，GPS和INS组合导航程序，比较了软阈值，硬阈值及当今各种阈值计算方法。( Based on piecewise nonlinear weight value Pso algorithm, GPS and INS navigation program, Comparison of soft threshold and hard threshold and today various threshold calculation method.)

自己编的5种调制信号，借鉴了主成分分析算法（PCA），用于信号特征提取、信号消噪。( Own five modulation signal, It draws on principal component analysis algorithm (PCA), For feature extraction, signal de-noising.)

image comparison and degradation

FSK信号检测方法的研究,拿出来跟大家分享，顺便拿点积分(FSK signal detection method of the research, come up with to share with you, by the way get-point)

波达方向（DOA） 估计的基本问题就是确定同时处在空间某一区 域多个感兴趣的信号的空间位置(即多个信号到达阵列参考阵元的方 向角)。最早的也是最经典的超分辨率(DOA)估计算法是著名的多信号 分类（Multiple Signal Classification） 法,简称 MUSIC 算法,它是 一类经典的基于特征结构分析的空间谱估计方法。该算法利用了信号 子空间和噪声子空间的正交性,构造空间谱函数,通过谱峰搜索,检测 信号的 DOA。(The basic problem of DOA estimation is to determine the simultaneous location in a certain region of space. Spatial position of multiple interested signals in the domain (i.e. the direction of multiple signals reaching the array reference elements) Directional angle). The earliest and most classical super-resolution (DOA) estimation algorithm is the well-known multi-signal.Multiple Signal Classification, referred to as MUSIC algorithm, is A classical spatial spectrum estimation method based on eigenstructure analysis. The algorithm utilizes signals. The orthogonality of subspace and noise subspace, the construction of spatial spectral function, through peak search, detection DOA of signal.)