matlab

分析了Tm，Ho共掺光纤激光器在达到稳态之前的动态弛豫振荡过程，形象描述了光纤激光器的动力学过程(Analysis of the Tm, Ho co-doped fiber laser prior to reaching the steady-state dynamics of relaxation oscillation process, the image describes the dynamic process of fiber lasers)

人口灰色预测模型可以在数学建模中应用，预测人口数量的变化，灰常灰常灰常有用。(gm grey prediction may not be perfect but it s useful u know. used in mathmatical test for population prediction. very very useful)

基于MRAS(模型参考自适应)方法的永磁同步电机控制MATLAB仿真模型（已调试,效果较好）(Based on MRAS (model reference adaptive) method of permanent magnet synchronous motor control MATLAB simulation model (has debug, better))

CGSVD Compact generalized SVD of a matrix pair in regularization problems. sm = cgsvd(A,L) [U,sm,X,V] = cgsvd(A,L) , sm = [sigma,mu] Computes the generalized SVD of the matrix pair (A,L): [ A ] = [ U 0 ]*[ diag(sigma) 0 ]*inv(X) [ L ] [ 0 V ] [ 0 eye(n-p) ] [ diag(mu) 0 ] where U is m-by-n , sigma is p-by-1 V is p-by-p , mu is p-by-1 X is n-by-n . It is assumed that m >= n >= p, which is true in regularization problems. Reference: C. F. Van Loan, Computing the CS and the generalized singular value decomposition , Numer. Math. 46 (1985), 479-491. Per Christian Hansen, IMM, 12/19/97. Initialization.

This example shows a model of a solid oxide fuel cell (SOFC) which can be utilized in SimPowerSystems™ .

图像对比度增强算法(PDF,CDF,直方图均衡化)源代码(Image contrast enhancement algorithm (PDF, CDF, histogram equalization) source code)

Matlab中没有现成的Hermite插值函数，必须编写一个M文件实现插值。 设n个节点的数据以数组x0 （已知点的横坐标）， y0（函数值）， y1（导数值）输入（注意Matlat的数组下标从1开始）， m个插值点以数组x 输入，输出数组y 为m 个插值。编写一个名为hermite.m的M文件。 (Matlab is not off-the-shelf Hermite interpolation function, we must realize the preparation of a document M interpolation. N nodes for the data to an array x0 (known point of abscissa), y0 (function value), y1 (numerical derivative) input (note the subscript Matlat array starting at 1), m to the array of interpolation points x input and output array y for m months interpolation. Hermite.m the preparation of a M-file.)

计算信号的EVM和PAR的Matlab源代码 EVM CCDF(calculate EVM & PAR Matlab source code )

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使用SVM中的1V1以及1VO算法实现对数据的分类以及matlab实现(Classification of data and implementation of matlab using 1V1 and 1VO algorithms in SVM)