资源列表
pel_onephase
- 交流电子负载，采用背靠背双PWM形式，实现能量的馈网，负载测采用三个单相逆变器来模拟。-PEL use PWM Simulator，can realise the power feed network
AF_algrithm
- 在一片水域中，鱼往往能自行或尾随其他鱼找到营养物质多的地方，因而鱼生存数目最多的地方一般就是本水域中营养物质最多的地方，人工鱼群算法就是根据这一特点，通过构造人工鱼来模仿鱼群的觅食、聚群及追尾行为，从而实现寻优。-In the midst of the waters, the fish often can be found on their own or trailing other fish nutrients in many places, so that the largest numbe
ODE45pid
- 用ODE方法，采用PID控制方法设计控制器，对电机进行仿真。-With ODE method using PID control design of the controller, the motor simulation.
three_half_wave_ctrl_bridge_machine
- 该程序为三相半控整流桥控制电机转动,三相交流电经晶闸管组成的半控整流电路，通过电感滤波，驱动直流电机转动，可观察电机转速。-The program for the three-phase half-controlled rectifier bridge control motor rotation, three-phase AC by thyristor half-controlled rectifier, filtering through the inductor to drive DC m
two_channels_FXLMS
- 两通道fxlms降噪matlab仿真亲测能用-Fxlms two-channel noise reduction can be pro-test simulation matlab
VSS
- 一种变步长lms算法matlab仿真绝对可用-A variable step size lms algorithm matlab simulation is absolutely available
vmd-verify
- vmd终极修改版，各种修改更新，可用于实测信号和仿真信号分解哦。-vmd ultimate modified version, update various modifications can be used to simulate the measured signal and the signal decomposition oh.
tengan
- 有循环检测，周期性检测，采用热核构造权重，经典的灰度共生矩阵纹理计算方法。- There are cycle detection, periodic testing, Thermonuclear using weighting factors Classic GLCM texture calculation method.
dtw_clustering_9.6_480
- dtw聚类的，需要的拿走，十分实用，亲测有效，需要的赶紧下-dtw clustering needs away, very practical, effective pro-test, need quickly under
RVEA_Matlab_original
- matlab开源程序，解决ＯＤＥ的龙库塔-贝塔方法，需要的拿走，不谢-matlab open source to solve the ODE dragon Kuta- beta method, the need to take away, not at all
bensao
- 插值与拟合的matlab实现，仿真效率很高的，时间序列数据分析中的梅林变换工具。- Interpolation and fitting matlab implementation, High simulation efficiency, Time series data analysis Mellin transform tool.
mat
- 在传统的K均值算法中引入了遗传算法和模拟退火算法,将两种算法相结合,通过交叉、变异、模拟退火等操作,实现了聚类分析。-The genetic algorithm and simulated annealing algorithm are introduced in the traditional K algorithm, and the two algorithms are combined to achieve the cluster analysis through the crossove