资源列表
LFDA_GMM_MRF_demo
- 高光谱图像分类代码，发表于2016年JSTARS，效果较好-High spectral classification code, the algorithm is published in 2016 TGRS, the results are better
Indian_ELM_LBP_test
- 高光谱图像分类算法，发表于2016年GRSL，效果较好，可以作为对比实验-High spectral classification code, the algorithm is published in 2016 GRSL, the results are better
HiFi-We_release
- 潘斌博士的高光谱分类算法代码，发表于2017年TGRS，效果较好-Dr Pan s high spectral classification algorithm, published in 2017 at TGRS, works better
main
- Implement non-linear function with neural networks
peakvalley
- 查找峰谷值 并进行标记可根据实际需要进行参数的调整 阈值的设定-Find the peak and valley values and mark them. Adjust the parameters and set the threshold according to the actual needs
LM_sample
- Levenberg Marquardt算法的matlab代码,简洁无误,结构清晰,便于快速学习。- LevenbergMarquardt algorithm matlab code, simple and correct, clear structure, easy to learn quickly.
RNN-RTRL-train
- 递归神经网络-实时学习训练算法代码，亲测可用，简洁无误，容易上手。- Recursive neural network- real-time learning training algorithm code, pro-test available, simple and correct, easy to use.
tlbo20170207_ok
- 教与学算法，局部优化算法，收敛快，精度高。可与差分进化等全局寻优算法配合使用，这个算法的特点就是局部收敛速度快。-56/5000 Jiào yǔ xué suànfǎ, júbù yōuhuà suànfǎ, shōuliǎn kuài, jīngdù gāo. Kě yǔ chāfēn jìnhuà děng quánjú xún yōu suànfǎ pèihé shǐyòng, zhège suànfǎ de tèdiǎn jiùshì júbù shōuliǎn sùdù kuài.
time-huabiao
- 给定一系列数据，将他们用matlab在图中画出来，通过固定的编程格式可以在图中任意加入不同的多组数据，用于不同组数据的比较-Given a series of data, they will be drawn with matlab in the figure, through a fixed programming format can be added in the figure of any number of different sets of data for different gr
de_test
- 差分进化算法，有测试函数，是遗传算法的改进算法，收敛快，精度高。-Differential evolution algorithm, a test function, is an improved genetic algorithm algorithm, fast convergence, high precision.
hei_cg80
- 有均匀线阵的CRB曲线，主同步信号PSS在时域上的相关仿真，ML法能够很好的估计信号的信噪比。- There ULA CRB curve, PSS primary synchronization signal in the time domain simulation related, ML estimation method can be a good signal to noise ratio.
HFSS_Script_2mmCylinder_3601206mm
- HFSS及CST在MATLAB中用VB画图及建模的例子-Examples of Fitting and Modeling with HFSS and CST in matlab