matlabforimage

说明：  第6章 无约束一维极值问题 所在章节 函数名 功 能 6.1 minJT 用进退法求解一维函数的极值区间 6.2 minHJ 用黄金分割法求解一维函数的极值 6.3 minFBNQ 用斐波那契法求解一维函数的极值 6.4 minNewton 用牛顿法求解一维函数的极值 6.5 minGX 用割线法求解一维函数的极值 6.6 minPWX 用抛物线法求解一维函数的极值 6.7 minTri 用三次插值法求解一维函数的极值 6.8.1 minGS 用Goldstein法求解一维函数的极值 6.8.2 minWP 用Wolfe-Powell法求解一维函数的极值 (Chapter 6 unconstrained extremum problem one-dimensional sections of the functional 6.1 minJT function method for solving one-dimensional with the advance and retreat of the extreme range of 6.2 minHJ function of the golden section method using one-dimensional function of the extreme 6.3 minFBNQ use Fibonacci method one-dimensional function of the extreme 6.4 minNewton Newton method with one-dimensional function with extreme 6.5 minGX one-dimensional secant method to solve the extreme 6.6 minPWX function method for solving one-dimensional parabolic function of the extreme 6.7 minTri method with cubic interpolation one-dimensional function of the extreme 6.8.1 minGS Goldstein method with one-dimensional function of the extreme 6.8.2 minWP Wolfe-Powell method with a one-dimensional extreme value function)

MATLAB电机仿真精华50例,功能强大，面面俱到(MATLAB simulation of the essence 50 cases of motor, powerful, all-embracing。)

认知无线电环境中，当认知用户处于低信噪比环境时，软判决与硬判决的对比发现此时软判决优于硬判决(In Cognitive radio environment, the cognitive users in low SNR environment, the contrast of the soft decision and hard decision to soft decision is better than hard decision)

原信号分解成IMF后，用此脚本来计算此IMF的瞬时频率(After the original signal into IMF, use this script to calculate the instantaneous frequency of the IMF)

粒子群代码,是一个简单的例子群算法，maltab。可以根据需要进行修改，亲测过可以运行(Particle swarm code)

matlab基础学习资料，用于初学者学习，祝大家好运(Matlab based learning materials for beginners to learn, I wish you all good luck)

曲线拟合多步预测，多个小波分解，VMD分解，神经网络集成，源代码(Curve fitting multistep prediction, multiple wavelet decomposition, VMD decomposition, neural network integration, source code)

直流电动机机械特性仿真m文件，功能很好的模版，只要填入你的数据，就可以用了(motor character simulink )

convolutional networks for image processing

Undercharged system for FIFO