资源列表
DFT
- 用.m文件写的DFT算法，没有用自带函数，方便理解DFT过程-.m File written with DFT algorithm, there is no function with their own, easy to understand DFT process
数学建模案例MATLAB实用程序百例.pdf
- 利用Matlab来实现数学建模的一百个实例，非常有效地展现了Matlab的应用之广，也为后人开拓思路(Using Matlab to achieve one hundred examples of mathematical modeling, very effectively demonstrated the wide application of Matlab, but also for future generations to develop ideas)
第6讲 用MATLAB进行数据拟合
- 数据拟合，入门 数据拟合是一个数学函数，在MATLAB的NAG Foundation Toolbox中也有一些曲面拟合函数，如e02daf是最小二乘平方曲面拟合函数，e02def可求出曲面拟合的函数值(Data fitting is a mathematical function, in MATLAB NAG Foundation Toolbox, there are also some surface fitting functions, such as e02daf is the leas
5.1 自适应滤波器法
- 自适应滤波器，用于回声消除，噪声消除等等(Adaptive filters are used for echo cancellation, noise cancellation and so on)
tfAlexNet-master
- 基于tensorflow的alexnet实现，用于机器学习图片分类网络模型入门(Tensorflow based alexnet implementation for machine learning picture classification network model introduction)
RDA_CSA
- 利用RDA和CSA算法对sar点目标回波信号进行成像，包含多个图示。(The RDA and CSA algorithms are used to image the echo signal of the SAR point target, including multiple diagrams.)
基于MATLAB和Optistruct的拓扑优化对比
- 对一个具体的结构，分别采用matlab编程求解和ansys建模求解拓扑优化，对拓扑优化的结果分析比较(For a specific structure, matlab programming solution and ANSYS modeling are used to solve topological optimization, and the results of topology optimization are analyzed and compared.)
chase
- 功能为求解系数矩阵为三对角矩阵或者循环三对角矩阵的线性方程。 输入的四个参数均为行向量，分别对应系数矩阵的上副对角线，主对角线，下副对角线，以及方程等号另一侧的常数矩阵(The four parameters of the input are line vectors, which correspond to the upper diagonal lines of the coefficient matrix, the main diagonal line, the lower diagonal
kNN_codes
- python的使用knn算法对水果数据进行分类，水果数据包含水果名、水果重量、长度、宽度参数(python's knn algorithm)
A-Fuzy-Logic-Controlled-Genetic-Algorithm-for
- A Fuzy Logic Controlled Genetic
matlab
- 有彩色图像的换算代码，HIS转换成RGB代码；-A color image of the conversion code, HIS converted to RGB code
numerical-algorithms
- 数值分析常见的算法，如插值、排序，方程组解法，矩阵特征值特征向量计算，拟合逼近等等，非常齐全-Numerical analysis of common algorithms, such as interpolation, sorting, solution of equations, matrix eigenvalue eigenvector calculation, fitting close to so, very complete