seg

说明：  《变迹相移光纤光栅传输谱的研究》仿真代码请搜索“光纤光栅的传输谱特性,研究了均匀光栅，相移光栅，啁啾光栅的特性”(&quot Phase shift of apodized fiber grating transmission spectrum of&quot simulation code search for &quot fiber grating transmission spectrum characteristics of a uniform grating, phase shifted grating, chirped grating characteristics&quot )

将一个小波结构的矩阵反排成小波包结构矩阵，根据最高的分解层次，将原图3*level+1块分开赋给矩阵以便单独操作，按从上到下，从左到右的顺序(Anti-matrix of a wavelet structure arranged in wavelet packet structure matrix, according to the highest level of decomposition, the original 3* level+1 separate assigned to the matrix in order to operate independently from top to bottom, left to right order)

cvt混合动力汽车仿真模型图，前后轮制动力分配曲线图绘制(cvt hybrid vehicle simulation model diagram, front and rear brake force distribution curve drawing)

扩展卡尔曼滤波程序，自己在用的，效果还可以，给大家参考下(Extended Kalman filtering procedure)

This m-file implements the mixture of Gaussians algorithm for background subtraction.

光学薄膜设计与优化，列举和对比介绍了多种光学薄膜的设计方法与优化技术。(Design and optimization of optical films, lists and describes the design method comparing a variety of optical films and optimization techniques.)

This is firefly algorithm which is implemented in matlab. The algorithm is well-known, and apply in many optimal areas and outperform GA and PSO

在Matlab中求硬质均匀浅海声场任一点的声压(The purpose of this code is to find the sound pressure in the sound field of the sound field in the sound field.)

support vector classification machine ％ soft margin ％ uses "kernel.m" ％ ％ xtrain: (Ltrain,N) with Ltrain: number of points N: dimension ％ ytrain: (Ltrain,1) containing class labels (-1 or +1) ％ xrun: (Lrun,N) with Lrun: number of points N: dimension ％ atrain: alpha coefficients (from svcm_train on xtrain and ytrain) ％ btrain: offest coefficient (from svcm_train on xtrain and ytrain) ％ ％ ypred: predicted y (Lrun,1) containing class labels (-1 or +1) ％ margin: (signed) separation from the separating hyperplane (Lrun,1(support vector machine classification% s oft margin% uses "kernel.m"%% xtrain : (Ltrain, N) with Ltrain : number of points N : % ytrain dimension : (Ltrain. 1) containing class labels (-1 or 1)% xrun : (Lrun, N) with Lrun : number of points N : % atrain dimension : alpha coefficients (from svcm_train on xtrain and ytrain)% btrain : offest coefficient (from svcm_train on xtrain and ytrain)%% ypred : predicted y (Lrun. 1) containing class labels (-1 or 1)% margin : (signed) separation from the separating hyper plane (Lrun, 1)

Mimo with Rayleigh channel and Maximum Likelihood