sparse_convex_opt

matlab的一套图像处理程序，很有参考价值(Matlab set image processing procedures of great reference value)

jar files for printing the maps using the mapfish server as well as the geoserver

声波模拟的去频散程序，能有效减少频散效应。。。。(Dispersion modeling to the sound process, can effectively reduce the frequency dispersion effect. . . .)

是薛定宇和陈阳泉所著《高等应用数学问题的MATLAB求解》一书的配书光盘中的例题matlab代码(And Chen Xue Dingyu Yangquan book is " higher MATLAB to solve mathematical problems," a book with the book CD matlab code examples)

lbg算法用matlab实现。。内有英文文献及相关代码(Lbg algorithm matlab.. There were English literature and relevant code )

自己编写的关于MIMO 的瑞利衰落信道仿真程序延时为1 2 4(I have written on the MIMO Rayleigh fading channel simulation program delay for the 124)

改进神经网络PID程序用来位置跟踪，比普通的PID位置跟踪稳定性高(PID neural network program is used to improve location tracking, location tracking than conventional PID stability)

提供adams matlab联合仿真，供大家参考(adams matlab)

说明：  在各行各业的工程实践中，有大量的科学计算工作需要完成。传统的计算方式一般需要较长的周期，相比之下开发效率极高的MATLAB是一个更好的选择。在MATLAB中，编程细节被简化，繁琐的实现过程也被略去，用户可以将更多精力集中于所需要处理的核心问题上。 MATLAB科学计算涉及数学、机械、电子、控制和金融等多个领域。本书以MATLAB科学工程计算为立足点，介绍MATLAB在科学计算领域中如何运用庞大的科学函数库来解决一些实际问题。在函数的选择上兼顾各函数的使用频率和专业性，力求典型全面。本书可作为MATLAB课程的教学用书或者线性代数、概率统计等课程的教学辅助书。(In the engineering practice of all walks of life, there is a lot of scientific calculation work to be completed. The traditional calculation method generally needs a long period, in contrast, the development of highly efficient MATLAB is a better choice. In MATLAB, the programming details are simplified, and the tedious implementation process is also omitted. Users can focus more on the core issues they need to deal with.)

说明：  ：DBSCAN是一个基于密度的聚类算法。该算法将具有足够高密度的区域划分为簇，并可以在带有“噪声”的空间数 据库中发现任意形状的聚类。但DtLqCAN算法没有考虑非空间属性，且DBSCAN算法需扫描空间数据库中每个点的e一 邻域来寻找聚类，这使得DBSCAN算法的应用受到了一定的局限。文中提出了一种基于DBSCAN的算法，可以处理非空 间属性，同时又可以加快聚类的速度。(: DBSCAN is a density-based clustering algorithm. The algorithm has a sufficiently high density area is divided into clusters, and to be with the &quot noise&quot found in the spatial database clusters of arbitrary shape. But DtLqCAN algorithm did not consider non-spatial attributes, and spatial database DBSCAN algorithm to be scanned for each point e in the neighborhood to find a cluster, DBSCAN algorithm which makes the application subject to certain limitations. In this paper, an algorithm based on DBSCAN can handle the non-spatial attributes, can also speed up the clustering speed.)