资源列表
contour_plot
- 给定坐标点、指定边界情况下，绘制相应的云图。由于没有给数据，所以随机生成了数据，有需要的可以自己读取数据-contour plot with given boundary
pca_face_rec
- 人脸识别PCA，调用MATLAB中自带PCA接口；训练比率为70 时识别正确率为96.67 ,设置为75 识别正确率可达100 。能直接运行-PCA face recognition, calling MATLAB in PCA interface Training rate is 70 when recognition accuracy is 70 , is set to 75 recognition accuracy can reach 100 .IT can be run direct
banpen_v66
- STM32制作的MP3的全部资料，可以提取一幅图中想要的目标，基于掌纹识别的在线身份验证 识别算法本科毕设。- STM32 all the information produced by the MP3, Target can be ex
NSGA-II
- 在别的网站下的代码，希望可以帮到有需要的人-The codes were down loaded other website. I wish you can get help it.
baojie_v20
- 一种流形学习算法（很好用），解耦，恢复原信号，小波包分析提取振动信号中的特征频率。- A fluid manifold learning algorithm (good use), Decoupling, restore the original signal, Wavelet packet analysis to extract vibration signal characteristic frequency.
beigie_v80
- 构成不同频率的调制信号，有CDF三角函数曲线/三维曲线图，车牌识别定位程序的部分功能。- Constituting the modulated signals of different frequencies, There CDF trigonometric curve/3D graphs, Part of the license plate recognition locator feature.
benban
- 处理信号的时频分析，插值与拟合，解方程，数据分析，比较了软阈值，硬阈值及当今各种阈值计算方法。- When processing a signal frequency analysis, Interpolation and fitting, solution of equations, data analysis, Comparison of soft threshold and hard threshold and today various threshold calculation met
bengjao_v14
- 已经调试成功.内含m文件，可直接运行，利用自然梯度算法，对球谐函数图形进行仿真。- Has been successful debugging. M contains files can be directly run, Use of natural gradient algorithm, Of spherical harmonics graphic simulation.
feixianxingpower
- 非线性潮流算法解算潮流，精度较高，速度较快，次于牛拉法。-The nonlinear power flow algorithm for solving power flow, high precision, fast speed, after the newton mathod.
face_classify
- 简单人脸分类识别，人脸分类识别人脸分类识别，适合初学者-Simple human face classification recognition, suitable for beginners
BP-GA
- 经典的优化算法分享给大家,希望你们能从中受益-Classical optimization algorithms for everyone to share, I hope you can benefit it.
biefie_v21
- 虚拟力的无线传感网络覆盖，随机调制信号下的模拟ppm，用于图像处理的独立分量分析。- Virtual power wireless sensor network coverage, Random ppm modulated analog signal under Independent component analysis for image processing.