Thesis_Proposals

two Matlab functions for initializing and training a recurrent neural network (two Matlab functions for initializing and training a recurrent neural network)

描述系统（有输入和无输入），通过系统状态矩阵判断系统稳定性，可控性，可观性(Describe the system (with input and no input), the system state matrix to determine the system stability, controllability, observability)

将Pedro F. Felzenszwalb的 Efficient Graph Based Image segmentation 作者提供的c代码封装，提供了Matlab调用接口。 输入参数如英文所示。(offer the matlab code interface of pedro F. Felzenszwalb s efficient graph based image segmentation （image,sigma 0.8,k 300,min_size 100) )

fruit classification using neural networks and multilayer perceptrons with matlab

本程序介绍了相关算法在干涉仪侧向上的应用，具有很好的实时性。(This procedure describes the lateral correlation algorithm in the application of interferometer has good real-time.)

广义高斯模型参数估计，效果相当不错！ 广义高斯模型参数估计，效果相当不错！(general gaussian parameters estimate)

认知雷达方面的国外书籍 对学习知识辅助处理的科研人员有很大的借鉴价值！(Cognitive radar knowledge of foreign books on learning auxiliary processing researchers have great reference value!)

Image Reconstruction

Heart Failure detection

RCL schaltung simulation(RCL schaltung simulation Matlab code)