Background_Subtraction_with_MCS

基于最大信噪比的盲信号分离，采用MATLAB环境实现程序仿真(Maximum signal to noise ratio-based blind signal separation )

设计一个合成信号，合成信号包含30H、50Hz、80Hz，可以用正弦或余弦或雷克子波，要求消除50Hz信号(Design a synthetic signal, synthesized signal contains 30H, 50Hz, 80Hz, can be used or Ricker sine or cosine waves, requires the elimination of 50Hz signal)

isodata聚类算法的matlab实现(isodata achieve clustering algorithm matlab)

从 All Functions选项板上访问MATLAB 脚本节点,其调用方法:Functions→All Functions→Analyze→Mathematics→Formula →MATLAB Script,打开 MATLAB Script节点即可进行操作。(Linear and nonlinear systems. A system is linear if all its elements are linear,and nonlinear if any element is nonlinear.)

基于matlab的数学建模事例，包括大量的数学建模的案例，非常有助于数学建模的学子门学习与参考(The students door based on the Matlab mathematical modeling examples, including the case of a large number of mathematical modeling, very helpful in the mathematical modeling of learning and reference)

its a cvsd decoder..used in bluetooth voice transmission

DMCmatlab实现，方法有效，有详细说明，欢迎分享。(DMCmatlab realization, the method is effective, and have the detailed instructions, welcome to share. )

suppression of echo by using lms code

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.)

该文件被用于人工数据集的测试。这些数据都是随机生成的。在百度中也可以搜索到相关内容。数据集名字为ultwotwo(this file can used for Performance Comparison on Artificial Data)