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matlab的FFT仿真文件，可以设置五种不同频率，幅值，初始想问的输入波形，并且通过FFT变换可以看到各个波形的频谱和相位。(The FFT simulation matlab file, you can set up five different frequency, amplitude, initial input waveform to ask, and you can see the spectrum and phase of each waveform by the FFT.)

基于MATLAB人脸识别的基于RoPS特征的三维人脸识别(Face alignment based on MATLAB spatial geometric transformation face recognition)

运筹学中的分支定界法，采用MATLAB编程，比较实用(Operations research branch and bound method, using MATLAB programming, more practical)

MatLab Files for GLOBAL POSITIONING SYSTEMS, INERTIAL NAVIGATION, AND INTEGRATION

8kw DC source in Matlab/Simulink

切比且夫线阵幅度加权方向图计算,画出二位方向图,图示中标示出增益,副瓣电平等(Ratio and the linear amplitude weighted directional graph computation, draw two direction map, marked gain the diagram, the sidelobe level etc. )

convert rgb to ntsc YIQ value for students help and image toolbox processing

这是我学习《MATLAB程序设计与应用》刘卫国、陈昭平　 一书时第一章和第二章的课后习题 目录 exponential_e.m exsub.m fheritage.m initialise.m matrix.m matrix2.m matrixm.m matrix_c.m matrix_mul.m mult.m mywork1201.dll mywork1201.m normcdf_.m p41_4.m p41_5.asv p41_5.m p41_6.m p41_7.m p41_8.m p64_1.m p64_2.m p64_3.m p64_4.m p64_5.m p65_10_1.m p65_10_2.m p65_10_3.m p65_6.m p65_8.m(This is my learning "MATLAB design and application procedures," Liu Weiguo, Chenzhaobeng a first book chapters I and II of the after-school catalog exponential_e.m exsu Exercises b.m fheritage.m initialise.m matrix.m matrix 2.m matrixm.m matrix_c.m matrix_mul.m mult.m mywork1201.dll mywork1201.m normcdf_.m p41_ 4.m p41_5.asv p41_5.m p41_6.m p41_7.m p41_8.m p64_1.m p64_2.m p64_3.m p64_4.m p64_5.m p65_1 0_1.m p65_10_2.m p65_10_3.m p65_6.m p65_8.m)

说明：  C语言源代码，用于计算S变换，进行时频分析(S transform C language source code)

根据PSO算法原理，在MATLAB中编程实现基于PSO算法的函数极值寻优算法，程序前面给出了PSO算法参数设置，种群初始化，寻找初始极值，迭代寻优，最后通过算法反复迭代300次，画出每代最优个体适应度值变化曲线，最后通过对比发现说明PSO算法具有较强的函数极值寻有能力，谢谢，希望对大家有帮助。 (According to the principle of PSO algorithm in MATLAB programming function PSO algorithm based on extreme value optimization algorithm, the preceding program gives the PSO algorithm parameter settings, population initialization, looking for initial extreme value, iterative optimization, and finally through the iterative algorithm 300 times draw the best individual fitness value of each generation curve, and finally by comparing the findings indicate that PSO algorithm has strong function extreme ability to find, thank you, we want to help.)