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This example shows how to generate C code for a MATLAB Kalman filter function, Kalman , which estimates the position of a moving object based on past noisy measurements. It also shows how to generate a MEX function for this MATLAB code to increase the execution speed of the algorithm in MATLAB.

断层插值函数代码，采用matlab软件环境编制(Fault code matlab interpolation function, the soft environment system )

最小二乘法（又称最小平方法）是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。 (Least-squares method (also known as least squares) is a mathematical optimization techniques. It does this by minimizing the square error of the data and find the best match function. The least square method can easily obtain the unknown data, and makes these data and the actual data obtained between the square and the smallest error. Least-squares curve fitting method can also be used. Other optimization problems can be maximized by minimizing the energy or entropy of the least square method to express. )

generalised hough transfporm c0de

基于Malvar窗时频谱的反Q滤波方法0479-8023(2012)03-0405-06(Seismic Inverse Q Filíering U sing Malvar Window based Time-Frequency Analysis)

on_and_software_radio_for_mobile_communication随书附赠源代码(on_and_software_radio_for_mobile_com munication with books attach source code)

台湾林智仁教授的SVM工具箱，已经编译好了，在MATLAB里面的set path 添加路径就可以直接使用了！（win32位）的！(a good SVM toolbox!)

This paper investigates the generalized Pars ’s theorem of fractional Fourier transform (FRFT) for concentrated data. Also, in the framework of multiple FRFT domains, Pars ’s theorem reduces to an inequality with lower and upper bounds associated with FRFT parameters, named as generalized Pars ’s theorem by us. These results theoretically provide potential valuable applications in filtering, and examples of filtering for LFM signals in FRFT domains are demonstrated to support the derived conclusions

时延估计的WRELAX算法,自己做的，亲测可用(wrelax of time delay estimation)

模拟多小球弹性碰撞,很有趣的一个程序，跟物理有关，不妨看看~(Simulation of multi-ball elastic collision，let us learn it together.)