nibian

说明：  基于bp神经网络的遥感图像的分类和识别的MATLAB实现(Bp neural network-based remote sensing image classification and recognition of the MATLAB implementation)

matlab programming - Davig Kuniciky

源信号加多径延时和噪声的仿真，还有其相关性分析，很有用的。(Source signal and multipath delay and noise simulation, and the correlation analysis, very useful )

数据融合 ，航迹估计，单目标的航迹估计，自己做了，预测效果还不错(data fusion Track estimation)

好用的随机森林回归（RFR），也可用与分类。基于以编译的mex84，可实现bias-correction。回归预测精度较高(applicable random forrest regression，can also be used for classification。Regress with bias-correction 。can achieve high accuracy)

说明：  用粒子群算法解决背包问题，能得到比较有效的结果(Particle swarm algorithm to solve knapsack problem, the results can be more effective)

monopulse radar is simulated by matlab sourch code please press f5

The proposed approach satisfies the integrability condition and does not need any boundary condition assumptio-ns, we have designed a stand-alone, flexible Matlab implementation that enables to evaluation the proposed approach. The experiments on real images show the approaches ability to reconstruction the surface from SFS.

The uploaded file is written to understand the basic knowledge for Kernel PCA.

SOURCE CODE FOR MATLAB