Graph-characteristics

matlab函数速记手册shorthand manual matlab function(matlab function shorthand manual shorthand manual matlab function)

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。 (Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)

说明：  基于matlab的电力系统潮流计算程序，对电力专业同学很实用。(Matlab-based power system load flow calculation program is very useful on the power of professional students.)

关于跳频通信的资料,希望能对大家有所帮助和启发 (hopping communication on the information, we hope to help and inspire)

与传统的小波分解相比，提升小波可以实现整数小波变换，其方法与一般去噪法相同，都是对小波分解的高频系数进行阈值量化来达到去噪的目的。(Compared with the traditional wavelet, lifting wavelet can achieve integer wavelet transform, its the same way as regular de-noising method, are the high-frequency coefficients of wavelet decomposition threshold quantization to achieve the purpose of de-noising.)

PSO_GA allgorithem matlab m-file

主要是用于智能天线系统中的DOA估计的子空间算法中的MUSIC改进算法(is mainly for smart antenna system DOA estimated subspace algorithm MUSIC improved algorithm)

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

generating maximum legnth sequence bu determining the generator function and initial condition

matlab下，使用dspbuilder实现的ask调制模块的源码(Matlab, the use of dspbuilder realized ask modulation source module)