延长卡尔曼滤波的示例

QAM实现程序 此程序实现了QAM信号的输出，通俗易懂。(QAM procedures to achieve the realization of this process the output of the QAM signal, easy to understand.)

说明：  基于二维主成分分析的人脸识别,本程序在ORL人脸库上进行了测试(Two-dimensional Principal Component Analysis for Face Recogntion.)

A three-body simulation matlab small procedures, parameters can be modified after the track and watch planetary motion picture production

该源代码为m文件，可以实现半升云模型。 云模型是一种描述非确定性关系的数学方法，在模糊数学和统计学的基础上，将模糊性和随机性相结合，构成定性描述和定量描述之间的相互映射关系，作为自然语言和数据语言的转换基础。 云模型的数字特征用期望值Ex 请点击左侧文件开始预览 ！预览只提供20%的代码片段，完整代码需下载后查看 加载中 侵权举报

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.

this is about the queuing models like mm1/mmc/marconi

solar mppt comparision mehtods different types of mppts

主成分分析离线功能实现和用法，这里是源代码，代码详细，数据齐全(Principal component analysis offline implementation and usage, here is the source code, the code in detail, the data is complete)

对椒盐噪声和噪声分别进行3种滤波,包括算术均值滤波、几何均值滤波、中值滤波(three kinds of filter to salt and pepper noise and gaussian noise ,including arithmetic mean filter, geometric mean filter, median filter)

该段matlab代码能实现分段减采样，是对ecg数据压缩算法的基础，对压缩算法很重要(resample)