deneme.mdl

Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.

说明：  拟合温度曲线，变量是温度和控制电压，控制温度在一定范围内(control system temperature)

distributed-generation_distribution-system_Newton-Laphson in matlab mfile

图像去噪声，图像中有噪声，可去除噪！！！！！！！！！！(image remove noise )

《通信系统仿真原理与无线应用》第18章有关CDMA系统仿真的经典matlab程序(Capter_18 of《Principles of Communications System Simulation with Wireless Applications》,a classic matlab program on CDMA system simulation)

2D离散鲁棒控制 (2D robust control )

这个是用小数据量法计算时间序列最大lyapunov指数的matlab程序(This is a small amount of data calculated time series index of the largest lyapunov Matlab procedures)

特征提取是模式识别中最重要的一个部分，这里提供的matlab代码计算一些基本的话音特征，而且，提供了一个简单的基于直方图的特征分类方法的实现。基本的特征包括：特征统计、Energy Entropy Standard Deviation (std)、均值信息熵、过零率检测、频谱衰减等等六个特征(Pattern recognition feature extraction is the most important part, here' s matlab code to compute some basic voice features, but also provides a simple classification method based on histogram characteristics of the implementation. Basic features include: Features and Statistics, Energy Entropy Standard Deviation (std), mean entropy, the zero-rate detection, attenuation, and so the six characteristics of the spectrum)

这里面包含了大量的关于MATLAB基本用法的教程 对初学者很有用(This contains a lot of tutorials on the basic usage of MATLAB is useful for beginners)

一维局部彼得罗夫伽辽金法matlab程序 可参见张雄无网格专著(One-dimensional the local 彼得罗夫伽 Free Method matlab program can be found in Zhang Xiong grid monograph)