digital_clock_v2

本文基于大型通用有限元软件ANSYS和MATLAB,探索三维实体模型下进行PC桥梁结构整体仿真分析的途径,研究其关键理论及专业模块开发技术。重点研究了预应力筋的模拟、预应力效应的等效转换和桥梁截面切片技术。研究成果可广泛应用于PC桥梁的三维仿真领域,具有较大的理论意义和工程实用价值。对写这方面研究很有帮助(Based on large-scale general-purpose finite element software ANSYS and MATLAB, explore the three-dimensional solid model of the bridge structure under the PC way to the overall simulation analysis to study the key theoretical and professional development of technology modules. Focused on the tendons of the simulation, the equivalent effect of prestressed bridge conversion and cross-section slicing. Research results can be widely used in PC bridges the field of three-dimensional simulation with the larger theoretical and practical engineering value. Research in this area to write very helpful)

说明：  通信系统功率分配--基于SVD分解的注水算法仿真(Communication system power distribution- filling algorithm based on SVD decomposition simulation)

说明：  生命游戏置乱算法的MATLAB实现，用于置乱图像(life game Scrambling algorithm in MATLAB for image Scrambling)

matlab编程的短时傅里叶变换典型实例,供大家参考。(short-time Fourier transform matlab programming typical examples for your reference.)

Custom Internet Search Bar for MATLAB

说明：  一个matlab gui的程序 一个matlab gui的程序(a procedure Matlab gui gui a Matlab procedures a Matlab gui procedures)

说明：  butterfly calculation is realized over matlab

说明：  蔡氏混沌同步，程序，调用十分完整，绝对好用。同机构同步系统(Chua' s chaotic synchronization, the program, call is complete, the absolute ease of use. Synchronization system with the agency)

说明：  用来对图像进行分类。Source code for Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework. Computer Vision and Pattern Recognition (CVPR) 2009，Li-Jia Li, Richard Socher and Li Fei-Fei. (Source code for Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework. Computer Vision and Pattern Recognition (CVPR) 2009，Li-Jia Li, Richard Socher and Li Fei-Fei. )

　Kmeans 算法是聚类分析中使用最为广泛的算法之一，其每个类别均用该类中所有数据的平均值(或加权平均)来表示，这个平均值即被称作聚类中心。该方法虽然不能用于 类别属性的数据，但对于数值属性的数据，它能很好地体现聚类在几何和统计学上的意义。(Kmeans algorithm is the most widely used cluster analysis algorithm, each category with the average of all data in the class (or weighted average) to represent the average is known as the cluster center. Although this method can not be used The class attribute of the data, but data for numeric attributes, it can well reflect the significance of clustering on the geometry and statistics.)