kalman-peopledetection

自由投票调查系统(C#) v1.0 功能介绍 1.可自行设定调查项目数(数目不限) -可在setupvote.cs中的vote_num="10" 中更改 2.有单选项和多选项两种方式 3.采用本站提供的Dundas Chart图形组(Free voting investigation system (C#) V1.0 Features 1. Are free to set the number of survey items (the number of open)- can be setupvote.cs of vote_num = 10 change 2. Have a single option and multi-option 3 in two ways. the use of this site provided by Dundas Chart Graphics Group)

说明：  用于各种分类的支持向量机matlab程序，可自定训练集和验证集数量(lib-SVM matlab program)

convert Lab space to XYZ space

灰色模型的改进程序算法，包括初值和背景值的改进，(Improved gray model, including the initial and background values ​ ​ improve)

降维状态观测器是非常重基于T变换的降维观测器设计方法。要的一类观测器(Reduced-order state observer is very important dimension reduction based on T transform observer design method. To a class of observer)

Matlab7.0，英文版的，讲的都是基础，适合初学者入门，很不错的资料。(Matlab7.0, the English version of, say are the basis of entry for beginners, very good information.)

DYNAMIC dynamites of SIMULATIO simulinga N MODEL OF A HYBRID POWER SYSTEM so that dynamics of hybrid solar and wind can be analyzed

功率谱估计是分析随机信号的一种重要方法, 是信息学科的研究热点。文章介绍了现代功率谱估计中AR 模 型参数的几种典型求解算法, 并借助MATLAB 平台对各种算法的功率谱进行仿真。(The power spectrum estimation is an important method for analysis of random signals, information science research focus. The article describes several typical modern power spectrum estimation of AR model parameters algorithm with MATLAB platform to simulate the power spectrum of the various algorithms.)

说明：  计算信号关联维数(Calculation of signal correlation dimension)

This paper deals with the problem of speech enhancement when a corrupted speech signal with an additive colored noise is the only information available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autoregressive (AR) process and represented in the state-space domain.(This paper deals with the problem of speech enhancement when a corrupted speech signal wit h an additive colored noise is the only informat ion available for processing. Kalman filterin g is known as an effective speech enhancement te chnique. in which speech signal is usually modeled as aut oregressive (AR) process and represented in th e state-space domain.)