LMS_beamforming

Weighted covariance function. Allows to give more weight on recent observations.

PCM/FM信号生成函数，包含基于FM调制以及CPM调制方式，前者是利用matlab中的fm模拟频率调制方式，是对PCM/FM信号比较直观的生成方法，后者是利用CPM信号的生成方法，从相位调制的角度生成。(Here is PCM/FM signal generating function, including on CPM modulation and FM modulation, the former is the use matlab simulation frequency fm modulation method is PCM/FM signal generation method more intuitive, which is generated using the method of CPM signals, generated from the phase angle modulation.)

matlab 程序求解梁单元内力，简单易学，好东西(matlab program for solving beam element internal force, easy to learn, a good thing)

Fuzzy clustering methods including subtractive and Fuzzy C-means and comparing them to Kmeans clustering method

matlab 标记点配准的图像预处理(Matlab markers image pre-processing of the registration)

说明：  粒子群算法阵列优化，对阵列方向图的综合，实现低副瓣阵列方向图(Particle swarm optimization (PSO) algorithm for array pattern synthesis to achieve low sidelobe array pattern)

automatic voltage restorer

有源自适应噪声的最常用算法之一，该算法是另一个基于最小二乘准则的精确方法，它具有快速收敛和稳定的滤波器特性。(Active adaptive noise, one of the most commonly used algorithm, the algorithm is another accurate method of least squares criterion, it has fast convergence and stability of the filter characteristics.)

对输入的语音信号运用短时能量函数进行去静音，然后把去掉静音帧之后的信号进行重组。(remove the mute of the speech signal (using short-term energy function), and then remove the signal mute frame after restructuring.)

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)