arith

说明：  混合整数线性规划的例程，包括机组组合，资金流匹配等(Routine of Mixed Integer Linear Programming ,including unit commitment, capital flow matching,etc.)

用自适应法做时延估计，然后根据时延估计确定声源的定位(Adaptive time delay estimation method used to do, and then determine the time delay estimation based on the positioning of the sound source)

FSK matlab modulation

三电平逆变器可以采用PWM控制或者SVPWM控制(three level inverter which can use pwm control)

svm 支持向量机代码 support vector machine(support vector machine svm)

RBF算法应用于声断层成像，根据探测器接收到声信号时间的差异，推导出区域的温度分布(RBF algorithm is applied to acoustic tomography, the detector receives the sound signal according to the time difference, the temperature distribution derived regional)

说明：  阵列信号处理的波束形成doa算法，非常有用(Array signal processing Beamforming Algorithm doa very useful)

matlab的MKD-SRC。多特征点的稀疏表示识别.(matlab the MKD-SRC.)

利用MATLAB对跳频通信系统进行仿真，包括源程序，框图，仿真结果等(The use of MATLAB for simulation of frequency-hopping communication systems, including source code, diagram, simulation results)

本文将排课五要素绑定、封装成课元、课栈两个向量，并以二维权值矩阵描述课元 和课栈之间的关联系。 提出了最佳匹配和遗传算法的排课算法，以随机生成的二维数字矩阵来反映课元和 课栈的关联权重，对数字矩阵组处理和最佳匹配得到的匹配偶图组为遗传算法的初始种 群，以排课各种原则的加权和为目标函数，在遗传算子控制下迭代来寻求更优的匹配结 果即使目标函数最小的偶图匹配结构，进而得到满意的排课结果。 提出了关联匹配和禁忌搜索的排课算法，以随机二维数字矩阵描述课元和课栈之问 的关联权重，按照重权优先并根据正确性原则进行约简，获得课元和课栈之间的匹配偶 图。在此基础上，引入禁忌搜索算法，以排课的完备性原则、合理性原则和人性化原则 的加权和为目标函数，以随机二维权值矩阵生成的匹配偶图为初始解，对二维权值矩阵 进行扰动构成搜索邻域，以生成的匹配偶图为禁忌对象，采用全局藐视准则，获得最优 的排课方案。 以Matlab为平台，利用Excd数据库和Mallab的互联实现数据交换，编写了两套 算法的应用程序，通过实例来验证两套排课算法，结果表明两套算法是可行的。(Arranging the five elements of this paper, binding, packaging into a class element, class stack of two vectors and matrices described by two classes per Rights And the relationship between class stack link. Offers the best match and Genetic Algorithm Platoon algorithm to randomly generated two-dimensional figures to reflect the class element and matrix Class stack associated with weight, the digital matrix group received treatment and the best matching group bipartite graph matching the initial kind of genetic algorithm Group to the weighted course arrangement of principles and the objective function, under the control of the genetic operator iteration to seek the better match Results Results even if the objective function structure of the smallest bipartite graph matching, and then Timetabling satisfactory results. Match the proposed association Timetabling algorithm and tabu search, a random two-dimensional digital matrix element and the class description class stack of Q)