资源列表
VF
- CVCF控制策略,通过双闭环实现恒压恒频的控制策略,效果很好-CVCF control strategies to achieve constant voltage constant frequency control strategy through the dual closed loop, with good results
power_2levelVSC
- 基于VSC的三相两电平整流电路仿真,使用pwm调制和双闭环控制-A three-phase two-level rectifier circuit simulation based VSC using a double closed loop control and modulation pwm
ITD
- 一个类似于经验模态分解的固有时间尺度分解,可以很好的和emd分解进行比较学习,程序代码完全可以运行,不缺少任何代码-A similar to the intrinsic time scale decomposition of empirical mode decomposition, the comparative study can be very good and the emd decomposition, the program code can be run completely, d
audio-watermarks
- 基于DWT的音频水印算法,采用小波变换,阿诺德置换实现水印的嵌入和提取。-Audio watermarking algorithm based on Wavelet Transform
findpeaks
- 光谱寻峰的算法,可用于红外光谱或拉曼光谱的自动寻峰处理。-Spectral peak searching algorithm may be used to automatically find peak processing IR or Raman spectroscopy.
powerfactorcorrection11
- POWER FACTOR CORRECTION USING FC TCR R-POWER FACTOR CORRECTION USING FC TCR RDDGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG
nlfm
- 雷达信号处理中非线性调频信号产生以及脉冲压缩处理-Nonlinear frequency modulation signal in radar signal processing and pulse compression processing
correlation-dimension
- 计算关联维数,利用三线法拟合求斜率,可以画出关联维数随参数变化的曲线-Calculate the correlation dimension, use the three-line method to fit the slope, you can draw the correlation dimension with the parameters of the curve
white
- 400-700nm波段白光既自然光的杨氏双缝干涉仿真-Young s Double Slit Interference Simulation of White Light in 400nm-700nm Band
Logistic_PE
- logistic模型对应的排列熵图,用来验证其有效性-The logistic model corresponds to the permutation entropy diagram used to verify its validity
suijiyanhua
- 随机演化博弈的案例代码,文档有具体的方程,代码直接运行,简单易懂-Random evolution game case code, the document has a specific equation, the code runs directly, easy to understand
demo_gpr
- 用于高斯过程一维建模,能根据不同的协方差函数得到不同的高斯过程回归模型-For the one-dimensional modeling of the Gaussian process, different Gaussian process regression models can be obtained according to different covariance functions
