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A new method for periodic scattering problems using 2nd kind boundary integral equations and the free-space Green s function, adding extra degrees of freedom on the unit cell walls, and imposing quasi-periodicity in an expanded linear system.(A new method for periodic scattering problems using 2nd kind boundary integral equations and the free-space Green s function, adding extra degrees of freedom on the unit cell walls, and imposing quasi-periodicity in an expanded linear system. This avoids the problems with the standard approach, namely: the quasi-periodic Green s function is slow to evaluate, it diverges at Wood s anomalies, and it does not handle large aspect ratios well. Our new approach cures all three issues, and can easily be `wrapped around an existing code (e.g. fast-multipole acceleration) for the isolated-obstacle scattering problem. It includes the latest talk slides: "A new integral representation for quasi-periodic scattering problems in two dimensions")

高斯核函数，矩阵自身的高斯核函数计算，需要指定参数(Gaussian kernel function, matrix itself Gaussian kernel function, the need to specify the parameters)

efficient LBP Local binary patterns (LBP) is a type of feature used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990.[1][2] LBP was first described in 1994.[3][4] It has since been found to be a powerful feature for texture classification it has further been determined that when LBP is combined with the Histogram of oriented gradients (HOG) descriptor, it improves the detection performance considerably on some dataset

使用sift算法，可以完成两张图片的拼接(stich two image with sift algorithm)

说明：  小波变换 (matlab的小波变换 )

AUSM求解半圆面NS方程(海平面参数)(AUSM METHOD FOR CIRCULAR BODY FLOW WITH SEA-LEVEL CONDITION)

LMS的源代码，希望对学习者有用！！！！(LMS source code, hope useful for learners! ! ! !)

此算法用于多目标优化，是经过修改的，可以运行！(This algorithm is used for multi-objective optimization 。 Modified, you can run!)

采用wiener_HOLF方法实现的维纳滤波的过程，对加噪图形采用维纳滤波(wiener_holf method)

选用DB小波对故障电力信号进行分解，从图中可轻易判断出故障点。(DB wavelet used to decompose the fault signal power, from the figure can easily determine the point of failure. )