Digital-audio-watermarking

极大似然法，基于极大似然法的参数估计，matlab程序(Maximum Likelihood)

用几何法求解工程结构可靠度标及失效概率的简单算例(Geometric Method for Solving Reliability Index of Structures)

这是一个基于matlab另一种方法编写的梁的有限元程序，可以用于初学有限元程序的人参考。(this is a matlab program used for cantilever calculation, it can be used for a fresh hand to reference.)

说明：  有限单元法及其应用 彭细荣，matlab在有限单元中的应用及其代码，可以应用其掌握该方法的弹性求解过程。 (matlab application finite element method )

说明：  SVPWM是近年发展的一种比较新颖的控制方法，是由三相功率逆变器的六个功率开关元件组成的特定开关模式产生的脉宽调制波，能够使输出电流波形尽可能接近于理想的正弦波形。空间电压矢量PWM与传统的正弦PWM不同，它是从三相输出电压的整体效果出发，着眼于如何使电机获得理想圆形磁链轨迹。SVPWM技术与SPWM相比较，绕组电流波形的谐波成分小，使得电机转矩脉动降低，旋转磁场更逼近圆形，而且使直流母线电压的利用率有了很大提高，且更易于实现数字化。(SVPWM is a novel control method developed in recent years. It is a pulse width modulation wave generated by a specific switching mode consisting of six power switching elements of three-phase power inverters, which can make the output current waveform as close as possible to the ideal sinusoidal waveform. Space voltage vector PWM is different from traditional sinusoidal PWM. It is based on the overall effect of three-phase output voltage, focusing on how to obtain the ideal circular flux trajectory of the motor. Compared with SPWM, the harmonic component of winding current waveform is smaller, which reduces the torque ripple of motor, makes the rotating magnetic field more close to the circle, and improves the utilization ratio of DC bus voltage greatly, and makes it easier to realize digitization.)

3马赫气流吹拂圆柱体，二维非结构化网格，网格自适应优化，Matlab代码，无粘(Mach 3 airflow blowing cylinder, two-dimensional unstructured grids, adaptive mesh optimization, Matlab code, inviscid)

一种基于多文档得图像合并技术，经典的灰度共生矩阵纹理计算方法，esprit算法对有干扰的信号频率进行估计。( Based on multi-document image obtained combining technique, Classic GLCM texture calculation method, esprit algorithm signal frequency interference can be assesse.)

极大值原理下的列车能源优化极大值原理下的列车能源优化极大值原理下的列车能源优化(base on maximum principle to optimal the traffic energy)

這是一個 Matlab的（和獨立應用）端口的出色的機器學習算法，隨機森林` - 由Leo布賴曼等。從 R -源由Andy鴻等。 http://cran.r-project.org/web/packages/randomForest/index.html（Fortran的原由Leo布賴曼和Adele卡特勒，研究港口安迪鴻和馬修維納。）當前的代碼版本是基於 4.5-29從來源 randomForest包。(This is a Matlab (and Standalone application) port for the excellent machine learning algorithm `Random Forests - By Leo Breiman et al. from the R-source by Andy Liaw et al. http://cran.r-project.org/web/packages/randomForest/index.html ( Fortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew Wiener.) Current code version is based on 4.5-29 from source of randomForest package.)

说明：  用matlab解决TSP旅行商问题,针对30个城市最短路径进行优化(Using matlab to solve the traveling salesman problem TSP for 30 cities to optimize the shortest path)