资源列表
lsqcurvefit.m
- %LSQCURVEFIT solves non-linear least squares problems. % LSQCURVEFIT attempts to solve problems of the form: % min sum {(FUN(X,XDATA)-YDATA).^2} where X, XDATA, YDATA and the values % X returned by FUN ca
BOMP
- 用于图像处理和信号DOA估计，是基于块稀疏的正交匹配追踪算法(This is an algorithm based on signal block sparsity, which can be used in image processing and signal DOA estimation)
code
- 是关于文章Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification的Matlab源代码，希望对从事这个方向的人员有所帮助。(Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification)
T_NPC_SVPWM
- MATLAB/Asimulink实现T型三电平逆变电路的SVPWM控制，压缩包中含模型与参考论文。matlab版本2018a。(MATLAB/Asimulink to achieve the T - type three - level inverter SVPWM control, compression package with model and reference paper.Matlab 2018a.)
MATLAB_Simulink电子信息工程建模与仿真张德丰
- 学习使用matlab数学建模，包括了一些基本教程和经典的建模例子。(Learning to use matlab mathematical modeling, including some basic courses and classic modeling examples.)
用于计算轮轨关系的matlab程序
- 轮轨接触关系中，等效锥度的计算，个人水平有限，稍有瑕疵(Equivalent taper calculation)
基于PCA和SVM的人脸识别系统
- 先通过图像处理提取人脸的各个特征，然后对人脸通过PCA进行降维，然后通过SVM进行人脸识别(Firstly, the features of human face are extracted by image processing, then the dimension of human face is reduced by PCA, and then the face is recognized by SVM)
HandsOnSEA-MatLab
- 具有柔性关节的机械臂matlab仿真，主要是学习如何仿真机械臂的柔顺控制(Matlab simulation of a robotic arm with flexible joints, mainly to learn how to simulate the compliance control of a robotic arm)
数据结构 图的应用 最小生成树问题
- 应用最小生成树的实际问题，内含题目、代码、问题分析(Application of the minimum spanning tree to practical problems, including problem, code and problem analysis)
som-bp混合神经网络的matlab程序
- 本文件包含som-bp串联神经网络的代码和数据，可用来做数据拟合，改成你自己的数据即可(This file contains the code and data for the som-bp series neural network, which can be used for data fitting and changed to your own data)
SABP汇率预测
- 此代码通过模拟退火算法优化BP神经网络进行汇率预测(This code optimizes BP neural network to predict exchange rate by simulated annealing algorithm)
python实现分段线性表示
- 按照自顶向下和自底向上分析时间序列趋势和转折点(Found the turning point from bottom to the top and from top to the bottom)