chap8

说明：  本程序实现了RGB图像转化为灰度图像，而后对图像进行了二值化，比较适合初学者，因为很多复杂的程序初学者比较难理解，我写的这个程序可以作为入门程序。(This program realized RGB images to gray image, and then to the binary image.It is suitable for beginners, because many complicated procedure is difficult for beginners, I write this program can be used as introductory programs.)

Matlab用小波神经网络变换对时间序列信号进行预测(Matlab neural network with wavelet transform to predict the time series signal)

Matlab 实用程序百例，对初学者很有用，推荐下载。(Matlab utility, one hundred cases, very useful for beginners, recommended download.)

ofdm 关于系统仿真的源程序代码 matlab(Ofdm matlab source system simulation program)

在AWGN信道下采用BPSK调制，对于一个给定生成矩阵和union bound的线性码，我们得到求解其重量分布的方法。。(Compute the weight distrubution of a linear code given its generator matrix and the union bound on its performance with BPSK modulation over an AWGN channel.)

用MATLAB语言仿真实现CDMA系统中开环下发射分集的系统性能仿真(using MATLAB Simulation CDMA system under open-loop transmit diversity of system performance simulation)

A paper describes the introduction and implementation of morse code .an simple example hase been taken by encrypting your name into morse code (audio) and reverse process also implemented.

说明：  生成BA无标度网络，并统计网络的度分布（网络中新家入的节点会优先选择网络节点度较大的节点链接）。(The BA scale-free network is generated and the degree distribution of the network is counted (the new home nodes in the network will preferentially choose the node links with higher degree of network nodes).)

air-sea动量交换等海洋科学研究的有用软件,由网上搜集得到(air-sea momentum exchange of useful marine scientific research, software, collected from the Internet)

说明：  主要对扩展卡尔曼滤波（EKF）、无迹卡尔曼滤波（UKF）及改进无迹卡尔曼滤波（MAUKF）算法进行研究，研究了三种算法的基本原理和各自的特点。其中扩展卡尔曼滤波器是将卡尔曼滤波器局部线性化，其算法简单，计算量小，适用于弱非线性、高斯环境。无迹卡尔曼滤波器是用一系列确定样本来逼近状态的后验概率密度。改进无迹卡尔曼滤波算法在UKF的基础上引入衰减因子。(The thesis focuses on the extended Kalman filter (EKF), unscented Kalman filter (UKF) and the improvement of unscented Kalman filter (MAUKF) algorithm research, researched the basic principles of three algorithms and their characteristics. Extended Kalman filter (EKF) is the local linear Kalman filter, the algorithm and computation are simple in weakly nonlinear and Gaussian environment. Unscented Kalman filter (UKF) is determined using a series of samples to approximate the state posterior probability density. Improved UKF algorithm (MAUKF) is introduced attenuation factor based on the UKF.)