163c-01_29r4_channel_model_for_fixed_wireless_

建设和测试模式，尤其是那些将以往的重大知识的过程，涉及到当前正在很差综合多个步骤。我们已经开发锑管道建立一个有效的工作流，基于开放源代码，公众标准与现代软件的做法(The process of constructing and testing models, particularly those that incorporate significant prior knowledge, involves multiple steps that are currently very poorly integrated. We have developed SB-Pipeline to create an effective workflow based on open-source code, public standards and modern software practice.)

matlab遗传算法，在数学中国中下载得(matlab genetic algorithm, in mathematics may be downloaded China)

使用matlab完成harris corner检测，探测出边界点(Use matlab completed harris corner detection, detection of boundary points)

本书基于MATLAB 5.2版，提供了使用MATLAB的实践性指导。MATLAB已成为适合多学科、多种工作平台的功能强大、界面友好、语言自然并且开放性强的大型优秀应用软件，同时也已成为国内外高等院校高等数学、数值分析、数字信号处理、自动控制理论以及工程应用等课程的基本教学工具。本书按逻辑编排，自始至终用实例描述；内容完整且每章相对独立；是一本简明的MATLAB参考书，既适用于初学者，也适用于高级MATLAB用户。对MATLAB与FORTRAN、C等语言结合的描述更是所有MATLAB书籍中少有的一大特色。 本书适合作为理工科高等院校研究生、本科生教学用书，也可作为广大科研工程技术人员的自学用书。

Truss optimization using genetic alorithm in matlab under evolutionary computing.

用于电力系统的潮流计算和无功优化程序，考虑风光接入配电网潮流计算。(Flow calculation for power system and reactive power optimization program, taking scenery access to distribution power flow calculation.)

说明：  先把图形改为.bmp形式，用matlab编程的(First graphics changed. Bmp format, using matlab programming)

图像的放大缩小，其中缩小任意比例，放大整数比。在matlab的work路径中选择需要操作的图像，图像使用者自备。(Image Zoom, which reduce the arbitrary ratio to enlarge than integer. In matlab choose the path of work need to operate images, user-owned images.)

MATLAB CODE TO PLOT TWO COMPONENTS USING PCAGRAPH

说明：  压缩包里包含了无约束优化问题常用的几种求解方法的源程序：变量轮换法（variable_rotation.m）、最速下降法（steepest_descent.m）、修正牛顿法（modified_newton.m）、共轭梯度法（conjugate_gradient.m）。另外，coefficient_matrix.m为目标函数系数获得矩阵，minval.m为最小值计算函数，gradient.m为梯度计算函数(Compression bag contains unconstrained optimization problems of several commonly used method of source: variable rotation Act (variable_rotation.m), steepest descent method (steepest_descent.m), as amended Newton (modified_newton.m), conjugate gradient method (conjugate_gradient.m). In addition, coefficient_matrix.m as the objective function coefficients obtained matrix, minval.m function for the minimum calculation, gradient.m for gradient calculation function)