SR_algorithm

matlab摄像机标定工具箱，国外的，可以通过这个工具箱作2D靶标定摄像机(Matlab toolbox camera calibration and abroad, through the toolkit for 2D camera calibration target)

MATLAB通用神经网络源代码 MATLAB通用神经网络源代码(Generic neural network MATLAB source code)

采用卡尔曼滤波方法对AR（3）时间序列模型进行校正，关键句有说明，(Kalman filter correction AR (3) time series model, described key sentence)

说明：  用VHDL语言编写的FFT程序，有些参考价值哦(VHDL prepared by the FFT procedure, some reference value oh)

这个是用于合成孔径雷达图像自聚焦的算法，易于实验，具有良好的效果。适合入门者。(this is a algorithm used for SAR image autofocus. this method is very simple and easy to realize and is suitable for beginner.)

当前的很多海洋数据都是海量数据，传统的ftp下载费时费磁盘，因此，openDAP方式越来越多，通过opendap可以选择直接需要的时间、空间范围内的资料。nctoolbox结合matlab实用，效果非常好的opendap工具包(NCTOOLBOX- 20130305 Full instructions and documentation at: http://code.google.com/p/nctoolbox/ We are in the progress of moving the project hosting here to github.com. Brief summary: *Prequisites *Matlab R2008a+. You can verify the version of Matlab by typing: version *Java 6+. You can verify the version of Java used by Matlab by typing: version( -java ). *The version returned should start with Java 1.6 . If it starts with Java 1.5 you can try updating the Matlab JVM: http://www.mathworks.com/support/solutions/en/data/1-1812J/ or use the older nctoolbox-20091112 version of this toolbox. )

说明：  卡尔曼滤波相关代码，内含线性卡尔曼，扩展卡尔曼，无迹卡尔曼，交互多模型卡尔曼的代码(Kalman filter related code, including linear Kalman, extended Kalman, unscented Kalman, interactive multi model Kalman code)

基于消除趋势项法的振动信号预处理研究.在MATLAB环境中对基于消除趋势项法的振动信号预处理的实例仿真分析。有 最小二乘法去趋势；正弦信号去趋势和滑动平均法等(In the MATLAB environment to eliminate the instance of the trend of the vibration signal preprocessing based on simulation analysis based on the signal preprocessing to eliminate the vibration of the trend of law. Least squares method to the trend sinusoidal signal to the trend and moving average method)

In this Simulation File, we design contol plant of HyperChaotic Sysytem, Chen System is the important Hyper Chaotic. We control this system with Sliding Mode Control First Order And Result show this method is good for this nonlinear System.

matlab读取数据文件，进行fft，再写入数据文件，最后比较变化。(matlab to read data files for fft, and then write the data file, and finally compare changes.)