S11-IEEE-IEC-ComparisonDocument

编制程序产生序列 信号长度可通过“输入”确定，并绘出其图形。 (Programmed sequence of signals generated by the length of " input" to identify and draw its graphics.)

说明：  实现Matlab与数模转换器的连接 这个程序是我们教授编写的 我们每次做试验都用他来连接试验箱的 (Matlab and digital realization of the connection of this process is the preparation of our professors to do the test every time we have to connect with his chamber of the)

这是一个可以对随机信号进行加噪，并通过QPSK和8PSK解调后，并分析误码率的程序，为m文件(This is a random signal can add noise, QPSK and 8PSK demodulation through, and after the procedure error rate analysis for the m file)

mid termd method maatlab

overlap addition for input sequence long

一个解释主成分分析PCA算法的文档,并附有简单的MATLAB程序说明(a document explain principle component analyse)

针对传感器网络中的非视距定位问题，使用泰勒加llos的联合方法降低非视距影响(decrease the location error in nlos environement)

线性递减权重粒子群优化算法是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。 (Linear decreasing weight particle swarm optimization starting from random solutions to find the optimal solution by iteration, it is also the fitness to evaluate the quality of the solution, but it is much simpler than the genetic algorithm rules, it is not a genetic algorithm " cross" (Crossover) and " variation" (Mutation) operation, which follow the current search for the optimal value to find the global optimum. The advantage of this algorithm is its ease of implementation, high accuracy, fast convergence and attracted the attention of the academic community, and demonstrated its superiority in solving practical problems.)

在Matlab中运用边缘提取的方法，对图像中的特征图形进行边缘提取(By using the methods of edge extraction in Matlab, the edge feature extraction of graphic image of the)

this is code to transform image from rgb to hsi