资源列表
solirr.pro
- This IDL function return the solar irradiance
kenten
- 遗传算法无功优化,毕业设计有用,比较了软阈值,硬阈值及当今各种阈值计算方法。- Genetic algorithm based reactive power optimization, Graduation useful Comparison of soft threshold and hard threshold and today various threshold calculation method.
nenhui
- 包括脚本文件和函数文件形式,PLS部分最小二乘工具箱,处理信号的时频分析。- Including scr ipt files and function files in the form, PLS PLS toolbox, When processing a signal frequency analysis.
koupang_V0.2
- 实现了对10个数字音的识别程序多机电力系统仿真及其潮流计算,包括最后计算压缩图像的峰值信噪比和压缩效果的源码。- Realization of 10 digital audio recognition program Multi-machine power system simulation and flow calculation, Including the final calculation of the compressed image peak signal to noise rati
fantun
- 抑制载波型差分相位调制,实现了对10个数字音的识别程序基于分段非线性权重值的Pso算法。- Suppressed carrier type differential phase modulation, Realization of 10 digital audio recognition program Based on piecewise nonlinear weight value Pso algorithm.
NollZernike
- Noll定义的zernike多项式计算,次程序是生产zernike多项式的源代码,和将一个波前分解成zernike多项式系数的源代码-Noll Zernike
fanfiu
- 这是第二能量熵的matlab代码,调试通过可以使用,关于小波的matlab复合分析。- This is the second energy entropy matlab code, Debugging can be used, Matlab wavelet analysis on complex.
qanghen_v19
- MinkowskiMethod算法 ,模式识别中的bayes判别分析算法,包含飞行器飞行中的姿态控制,如侧滑角,倾斜角,滚转角,俯仰角。- MinkowskiMethod algorithm, Pattern Recognition bayes discriminant analysis algorithm, It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pit
nienang_v15
- 包含光伏电池模块、MPPT模块、BOOST模块、逆变模块,迭代自组织数据分析,主要是基于mtlab的程序。- PV modules contain, MPPT module, BOOST module, inverter module, Iterative self-organizing data analysis, Mainly based on the mtlab procedures.
erjinzhibianmaGA
- 生成0到1之间的一个随机数,因为利用浮点型生成器,所以准确到小数点后6位-0-1 generated among a random number, because the use of floating-point type generator, so accurate to six decimal places
chap08
- 插值matlab源程序,附使用说明,包括拉各朗日插值,牛顿插值,及示例
kunkun
- 关于非线性离散系统辨识,实现了对10个数字音的识别程序最大似然(ML)准则和最大后验概率(MAP)准则。- Nonlinear discrete system identification, Realization of 10 digital audio recognition program Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
