资源列表
han-qx80
- 是机器学习的例程，利用最小二乘法进行拟合多元非线性方程，独立成分分析算法降低原始数据噪声。( Machine learning routines, Multivariate least squares fitting method of nonlinear equations, Independent component analysis algorithm reduces the raw data noise.)
7876
- 这是一个好用的频偏估计算法的matlab仿真程序,基于kaiser窗的双谱线插值FFT谐波分析，计算目标和海洋回波的功率谱密度。( This is a useful frequency estimation algorithm matlab simulation program, Dual-line interpolation FFT harmonic analysis kaiser windows, Calculating a target and ocean echo power spect
Basic-Structured-Grid-Generation
- basic structured grid generation这本书网格生成的fortran基本代码(Basic structured grid generation This book grids generate fortran basic code)
SRFTMATLAB-master
- 滤波器与匹配电路的设计，基于简化实频技术的matlab实现(the SRFT achieves an optimal lter design byusing computer-aided optimization. This code will describe SRFT and a MATLABR implementation of the SRFT currently under development)
fqiev
- 二维声子晶体FDTD方法计算禁带宽度的例子,FMCW调频连续波雷达的测距测角，MinkowskiMethod算法 。( Dimensional phononic crystals FDTD method calculation examples band gap, FMCW frequency modulated continuous wave radar range and angular measurements, MinkowskiMethod algorithm.)
SolarAngle.MATLAB
- 本程序计算的太阳角有地面点对应的太阳天顶角和太阳方位角，太阳高度角与太阳天顶角 互余，所以太阳高度角也可以通过90 度-太阳天顶角计算得到(The solar angle is calculated by the solar zenith angle and the sun azimuth angle corresponding to the earth's surface point. The sun height angle and the sun zenith angle are com
VUMATdamage
- Abaqus VUMAT damage for composites
python机器学习预测分析核心算法
- python机器学习预测分析核心算法的例程(Python machine learning prediction and analysis of core algorithm routines)
国内某B2C电子商务网站的数据集
- 电商的数据集,可用于做数据分析 平台搭建(The data set of e-commerce can be used to build data analysis platform.)
S参数提取
- FDTD中利用监视器电场提取S11，S21，S12，S22参数(In FDTD, S11, S21, S12, S22 parameters are extracted from the monitor electric field.)
crack growth without remeshing
- 这篇文章详细地介绍了扩展有限元的理论，可供初学者学习(this paper presents the details in the theory of extended finite element method, which is helpful)
cca
- 对于降维方法中，曲线成分分析（CCA）的实现(For the dimensionality reduction method, the realization of curve component analysis (CCA) is realized.)