Szeliski.CV

Optimization toolbox

采用L-M优化算法用以训练BP神经网络，使其能够拟合某一附加有白噪声的正弦样本数据。设计一个三层BP神经网络，其网络的隐含层神经元的激励函数为双曲正切型，输出层各神经元的激励函数为线性函数，隐含层有6个神经元(LM optimization algorithm used to train BP neural network to enable it to fit a white noise, sine additional sample data. Design a three BP neural network, its network of hidden layer neuron activation function of hyperbolic tangent type for the output layer activation function of each neuron is a linear function of the hidden layer has 6 neurons)

简单的SIMULINK,结合MATLAB做的最初级的仿真测试，功能不错，简单易用(EASY SIMULINK)

README dllset是一个很容易确实的系统文件他的作用是更好的利用互联网来检索更多资源并优化(README dllset is an easy to do system files his role is to retrieve more resources and optimize the use of the Internet to better)

一个simulink的仿真课件，通俗易通，自己感觉挺好(A simulink simulation courseware, popular ETS, he felt very good)

This is a solution manual of Probability of random signal.

核密度估计，可以刻画变量的时间演进动态性，可以反映变量在时间上的变动的整体性( Kernel Density Estimation )

快速计算rcwa一维，投射场 衍射场分布(Rapid calculation rcwa one-dimensional projection field diffraction field distribution)

与奥本海姆 的《信号与系统》经典教材配套的习题解哦(Solution Oh Oppenheim " Signals and Systems" classic textbook exercises supporting)

pdf file for learning matlab in persian