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宽带模糊函数，用来分析带宽很宽的信号，像LFM等，这个例子对大家有帮助！(Wideband ambiguity function is used to analyze a wide-bandwidth signals, such as the LFM, the example of the help!)

一个用matlab编写的供应水的程序，用时将data.txt文件放于D盘根目录下，或更改程序中文件的当前指向。(A supply of water using matlab program, with the data.txt file will be placed under the root directory in D, or change the program files in the current point.)

说明：  主要是针对全球定位系统的干扰与异常事件监测(Global Positioning System Interference and Satellite Anomalous Event Monitor)

遗传算法的matlab语言程序，包括算法说明，和简单的应用。(GA Matlab language programming, including shows algorithm, and a simple application.)

用BFGS算法求解无约束问题 是一种比秩1算法更有效的优化方法(Unconstrained problem with BFGS algorithm is an algorithm is more efficient than the rank of an optimization method)

医院导航优化算法，减少导航时间，提高导航效率，进行分析。(Hospital navigation optimization algorithm, reduce navigation time, improve navigation efficiency, and analyze.)

五组在matlab中应用的小程序：（1）carspls and carsplslda，竞争性自适应重加权算法（cars）筛选特征变量，并建立PLS定量或定性模型（2）mcuvepls 蒙特卡罗抽样无关信息消除后，建立PLS定量和定性模型（3）osc，正交信号校正的多变量数据处理方法（4）plot cars-lda-mcs,表征cars-lda-mcs的结果（5）demo 对以上carspls and carsplslda，mcuvepls 方法在matlab中实现举例演示(Five groups codes in matlabapplication: (1) carspls and carsplslda, competitive adaptive re-weighted algorithm (cars) for characteristic variables selection, and the establishment of PLS ​ ​ quantitative or qualitative model (2) mcuvepls， Monte Carlo sampling and the uninformative variables elimination （UVE）， and the establishment of quantitative and qualitative PLS model (3) Orthagnal signal correction（osc）, multivariate data processing method (4) plot cars-lda-mcs, characterization results of cars-lda-mcs (5) the demo about carspls and carsplslda, mcuvepls method implementation in matlab)

说明：  matlab的桁架有限元分析程序，包含注释，十分详细(Finite element analysis program of truss based on MATLAB)

正交拉丁方算法用于图像加解密的示例演示程序,带GUI显示界面,请在Matlab6.5以上版本上运行.(Orthogonal Latin squares algorithm for image encryption and decryption of the sample demo program with GUI display interface, please run Matlab6.5 above.)

集中问题解答.ppt 集中问题解答.ppt ( 集中问题解答.ppt )