资源列表
mocap-dense-trajectories-master
- 为了准确描述复杂时变的人体运动，卡内基梅隆大学(Carnegie Mellon University, CMU)的一个研究小组通过几个摄像头记录了各种场景下关键关节的轨迹，并建立了运动捕捉(MOCAP)数据集(To accurately describe the complex and time-varying human motion, a research group in Carnegie Mellon University (CMU) recorded the trajectories
长周期光纤光栅传输谱
- 利用耦合模理论分析了光纤Bragg光栅中纤芯模间的耦合、倾斜光纤光栅中纤芯模与辐射模和包层模间的耦合(The coupling mode theory was used to analyze the coupling between the core modes in the fiber Bragg grating and the coupling between the core mode and the radiation mode and the cladding mode in the
matlab程序
- 室内三维定位相关程序，主要用于数学建模，了解如何用于实际场景(Indoor three-dimensional positioning related procedures, special for mathematical modeling)
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)
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)
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)
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)
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.)
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.)
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)
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
memd分解
- 使用memd对农产品价格时间序列进行分解(decompose by memd, choose chicken price, egg price, pork price, beef price as input ,and then imfs as output.)