number-plat-extraction

简单来说，卡尔曼滤波器是一个"optimal recursive data processing algorithm（最优化自回归数据处理算法）"。对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。(In short, the Kalman filter is an " optimal recursive data processing algorithm (optimal autoregressive data processing algorithm)." For most of the problems to solve it, he is the best, most efficient or even useful.)

MATLAB Code for HEED protocol

蚁群算法的matlab代码，对于数学建模非常有用。(Ant colony algorithm matlab code, very useful for mathematical modeling.)

针对二维矩形条带装箱问题提出了一种启发式布局算法，即底部左齐择优匹配算法（lowest—level left align bestfit，简称LLABF）．LLABF算法遵循最佳匹配优先原则，该原则综合考虑完全匹配优先、宽度匹配优先、高度匹配优先、组合宽度匹配优先及可装入优先等启发式规则．与BL（bottom-left），IBL（improved-bottom-left）与BLF（bottom—left-fill）等启发算法不同的是，LLABF能够在矩形装入过程中自动选择与可装区域匹配的下一个待装矩形．计算结果表明，LLABF结合遗传算法（genetie algorithm,简称GA）解决二维条带装箱问题更加有效．(A heuristic placement algorithm for two-dimensional rectangular strip packing problem is proposed, which is called bottom-level left align best fit algorithm (LLABF). Different from BL (bottom-left), IBL (improved-bottom-left) and BLF (bottom-left-fill) heuristic algorithms, LLABF can automatically select the next rectangle to be loaded that matches the mountable region during the rectangular loading process. Genetie algorithm (GA) is more effective to solve the two-dimensional strip packing problem.)

M.file, source code to generate data for simulink model

用MATLAB实现了微分方程数值解的解法，程序具有极强的通用性，并且还有对算例的说明，非常实用(Realized by MATLAB Solution of differential equations, the program is extremely versatile, and there is a description of examples, very practical)

均方误差最小LMS算法，s为一个wav格式的音频文件。FIR滤波器长度为5。(LMS)

Using MATLAB and Simulink for Control System Simulation and Design

讨论了多变量灰色预测模型的算法,给出多变量灰色预测模型的Matlab程序.通过实例说明算法程序的应用和效果. 更多还原 (Algorithm discussed multivariable gray forecasting model, gives the Matlab program multivariable gray forecasting model by examples illustrate the application and effectiveness of the algorithm of the program. More reduction)

用于求个多个信号源二维波达方向的多重信号分类算法(multiple signal classification algorithm for seeking the two dimensional DOA of multiple sources )