LDPC_H

分步傅里叶变换法求解非线性薛定谔方程，根据G.P.Agrawal的《非线性光纤光学原理》(Step Fourier transform method for solving nonlinear Schrodinger equation, according to GPAgrawal of " nonlinear fiber optics." )

说明：  利用Dijkstra算法来求网络图的最短路径，找到从起点P1到终点Pn的最短路径，由于上述算法使用了连接线中点的条件，不是整个规划空间的最优路径，然后利用遗传算法对找到的最短路径各个路径点Pi (i=1,2,…n)调整，让各路径点在相应障碍物端点连线上滑动(Use Dijkstra algorithm to find the shortest path network diagram to find the starting point P1 to the end of Pn from the shortest path algorithm is used as the midpoint of the condition of cable, not the entire optimal path planning of space, and then use genetic algorithm to find shortest path of each path points Pi (i = 1,2, ... n) adjusted to the path of obstacles in the corresponding endpoint connection point slide)

bootstrap_filter，粒子滤波器中自举粒子滤波器matlab仿真程序(bootstrap_filter. particle filter bootstrap particle filter Matlab simulation program)

数值方法(MATLAB版)(第四版)[Mathews,Fink著,周璐,陈渝,钱方等译](Numerical Methods Using MATLAB)

卡尔曼滤波原文，详尽解释了卡尔曼滤波器的由来和推导过程(Kalman original, elaborate ideas and derivation of Kalman Filter)

选题二、基于matlab简单图像处理系统用中值滤波方法消除噪声(Two topics, based on matlab image processing system with a simple median filter to eliminate noise)

说明：  基于人耳识别听觉系统基础的梅尔频谱倒谱系数（MFCC），本次设计采用经过小波包阈值降噪处理的音频文件，提取出其相应的MFCC特征矩阵，以便做接下来的分析！(Based on the Mel spectrum cepstrum coefficient (MFCC) of human ear recognition and hearing system, this design uses the audio file processed by wavelet packet threshold denoising, and extracts its corresponding MFCC feature matrix for the next analysis!)

这段程序是用来实现最优控制的，一段是关于倒立摆系统的，还有一个是一本书上的例题。比较适合初学者。(This procedure is used to achieve optimal control, a section is about the inverted pendulum system, there is a example on a book. More suitable for beginners.)

2-D discrete 8-point Daubechies wavelet.

spectral analysis of speech signal