资源列表
新建文件夹
- 基于MATLAB的一种图片处理，利用框图标出障碍物(A kind of picture processing based on MATLAB, using frame icons to identify obstacles)
1D-CNN
- 一维信号的深度学习算法和例子包括CNN、DBN等，有详细的说明(Deep Learning Algorithms and Examples for One-Dimensional Signals)
粒子群算法演示1
- 用罚函数处理约束条件 基本的粒子群算法 求解了一个简单的算例(Using Penalty Function to Handle Constraints Basic Particle Swarm Optimization)
Tensorflow CNN
- 卷积神经网络识别手写数字，放在jupyter直接跑，99%识别率，已经和Tensorboard联通好了(Convolutional neural network recognizes handwritten numerals and runs directly on jupyter. The recognition rate is 99%. It has been connected with Tensorboard.)
make_color_ratio_image
- calipso一级气溶胶产品1064nm和532nm波长的后向散射系数比值，色比垂直剖面图(Ratio of Backscattering Coefficient and Chromaticity Vertical Profile of 1st Class Aerosol Products at 1064nm and 532nm Wavelengths)
make_lidar_image
- calipso一级数据产品总衰减后续散射剖面图(Total attenuation follow-up scattering profile of primary data products)
generate_monthly_statistics
- calipso二级气溶胶AOD月平均廓线(Monthly Average Profile of Calipso Secondary Aerosol AOD)
generate_mean_extinction_profile_example
- 生成经过和没有经过质量控制的532nm消光系数廓线对比图(Generation of 532 nm extinction coefficient profiles with and without quality control)
Code of GPs
- 实现高斯过程算法的一个简单回归，适合初学者学习。(A simple regression of the Gauss process algorithm is realized, which is suitable for beginners to learn.)
ecg-features-Python
- 用于提取心电信号的特征, 用python编写(used for ECG signal feature extraction, including time domain, frequency domain and RR interval related featuresused for ECG signal feature extraction)
ecg_features-matlab
- 用于提取心电信号的特征，包含时域，频域，RR interval相关特征(used for ECG signal feature extraction, including time domain, frequency domain and RR interval related features)
物资布局MATLAB源代码
- 实现应急物资布局的matlab实现，给出问题说明及具体代码实现(Realization of Emergency Material Layout by MATLAB)