资源列表
GA
- 程序1：遗传算法和非线性规划函数的优化； 程序2：基于遗传算法的BP神经网络优化； 程序3：基于遗传算法的TSP算法； 程序4：基于遗传算法的LQR控制器优化设计 程序5：基于遗传算法的函数优化-Program 1: genetic algorithms and nonlinear programming function optimization Program 2: Based on the genetic algorithm BP neural network optim
Example-based-SR
- 基于学习的图像超分辨率重建，可以进一步了解基于学习的方法。-Learning-based super-resolution image reconstruction, we can further understand the learning-based approach.
Sparse-Mixing-Estimators
- 图像超分辨率重建算法，通过稀疏混合估计来实现，效果不错。-Image super-resolution reconstruction algorithm, by mixing estimates sparse achieved good results.
variational-Bayesian
- 基于变分贝叶斯里理论的图像超分辨率重建技术，对于理解超分辨率技术有一定帮助。-In theory based on variational Bayesian image super-resolution reconstruction technique for understanding the super-resolution technology has certainly helped.
tletransform
- 压缩包中自带资源卫星的tle，用matlab读取并绘制半长轴、轨道倾角、偏心率的变化曲线，观察期变化规律，文件读取的技巧很好-Compressed package comes resource satellites tle, using matlab to read and draw the semi-major axis , orbital inclination , eccentricity curve , variation of the observation period , file
bp
- SAR成像的后向投影算法 matlab代码，直接使用，对散射数据成像 频域-back projection
transmissionNEGF
- 非平衡格林函数法法计算电子透过率，具有完整的汉密尔顿量，表面格林函数，退化各领函数，E-K关系-Non-equilibrium Green' s function method to calculate electronic transmission, complete with Hamilton volume, surface Green' s function, degeneration, the leading function, EK relations
EM-MRF-ICM
- 基于EM-马尔科夫随机场-ICM的图像分割程序，很好的学习代码-EM-based Markov random-ICM image segmentation procedures, good learning code
FFT_conver
- 本程序的功能是：实现信号从时域到频域的快速傅里叶变换。-Realize the signal conversion from time domain to frequency domain.
MulticlassCSP
- This the matlab code of multi class common spatial pattern.-This is the matlab code of multi class common spatial pattern.
sfs
- shape from shading with source code of matlab
MT2DMODEL
- 大地电磁二维正演程序是电磁法的基础编程，首先设置地电断面然后通过正演模拟电磁场在大地中的传播形式来得到地下地质体的电阻率情况，从而得到地下地质体情况-Two-dimensional magnetotelluric forward modeling procedure is based programming electromagnetic method, first set the geoelectric section and then through the forward modeling