spread_spectrum

说明：  该程序完成16个雷达脉冲信号的脉压、MTI/MTD和恒虚警处理 ,可在MATLAB上实现仿真，并且可以进一步在DSP上实现这些功能，并在MATLAB中作误差分析。(The program completed 16 radar pulse signal pulse pressure, MTI/MTD and CFAR can be realized in the MATLAB simulation, and can further implement these functions on the DSP and MATLAB, for error analysis.)

计算信号的谱特性，包括频谱特征及功率谱特征。(Calculate the spectral characteristics of the signal, including spectral characteristics and power spectral features.)

信号处理中的旋转不变子空间法，含噪脉冲信号进行相关检测,单径或多径瑞利衰落信道仿真。( Signal Processing ESPRIT method, Noisy pulse correlation detection signal, Single path or multipath Rayleigh fading channel simulation.)

用matlab编写的关于流场测速的一个Demo,处理速度较快、匹配位置准确。(The URAPIV Toolbox contains a set of command-line functions to import, post-process and analyse 2D vector fields from LaVision s DaVis PIV (particle image velocimetry) software. It enables to handle and perform operations over large amount of velocity fields, and to produce high-quality vector/scalar outputs. )

Jacobian transformation script

对于利用MATLAB标定工具箱得出相机标定参数后，此函数可利用标定得出的结果，对图像进行畸变矫正，输出矫正好的图像。(Calibration Toolbox for use MATLAB camera calibration parameters obtained, this function can be calibrated using the results obtained, the image distortion correction, output correction a good image.)

这个小程序可以简单的选取回归分析中box-cox变换的lambda值，通过matlab强大的矩阵运算功能可以通过简单比较RSS值的方式来得到lambda，使用时只需要输入实验值矩阵X和Y即可，然后输入minRSS（X，Y）就能简单明了的看到最优变换参数 （这个程序虽然小但是学习回归分析的初学者学习时都会经过这个算法，上载时因为不到1KB所以我又放了个文本格式的）(This little program can select a simple regression analysis of box-cox transformation of lambda values, through the powerful matlab function matrix calculation can be relatively simple way of RSS to get the value of lambda, the use of only need to enter the experimental data matrix X and Y can be , and then enter the minRSS (X, Y) will be able to see the simple optimal transformation parameters)

说明：  利用C_Builder与Matlab实现实时数据的获取与处理(Matlab using C_Builder and real-time data acquisition and processing)

基于Matlab开发滤波器，设计滤波器各种函数(Matlab Filter Design a variety of functions.)

DIFFERENT METHODS FOR DETECTING OUTLIERS