kalman

用Matlab编写的相机标定程序，球去了相机参数。内附标定图像。(Prepared by the Matlab camera calibration procedures, the ball to the camera parameters. Enclosing the image calibration.)

本本件主要使用MATLAB中的truetime工具箱仿真足球~(use the truetime box for soccer game~)

一个用MATLB编写的关于人脸识别中的2DPCA算法的程序(The preparation of a use MATLB 2DPCA on face recognition algorithm in the program)

在基于核的meanshift算法框架下，利用kalman算法实现目标模型更新，从而有效的实现运动目标跟踪(In core based meanshift algorithm framework, using Kalman algorithm to achieve the target model update, so as to effectively realize the moving target tracking)

基于能量检测认知无线电的算法仿真实现，里面含有高斯白噪声的添加(Cognitive radio based on energy detection algorithm simulation, which contains Gaussian white noise is added)

针对IMU和GPS联合解算提供了两个不同的卡尔曼滤波算法(IMU and GPS for the United Solution offers two different Kalman filter)

说明：  文件组合合并. 该程序用于将两个文件（可以是txt或xls文件）进行组合合并，例如假设A.txt文件中含有‘00’和‘01’两行，B.txt文件中含有‘aa’和‘ bb’两行,则合并后的文件AB.txt文件中含有‘00aa’、‘ 00bb’、‘01aa’和‘ 01bb’四行。(Combination of the merger document. The program for the two files (can be a txt or xls file) in the combined portfolio, such as the assumption A.txt document 00 and 01 contains two lines, B.txt documents containing aa and bb two lines, then after the merger documents AB.txt document containing 00aa, 00bb, 01aa and 01bb quatrain.)

一个身体部位比较模型的新方法网络（BAN）的，可以容纳多个环节和多个科目。所述的绝对测量允许跨频谱可能刻画的比较 从单参数为整个合奏，通过基于参数化到每个活动，每个学科和每个环节模型。使用错误，并明确之间权衡复杂性，在一个善良的适应措施相结合，显示有重要的影响时，适用于一系列典型的禁止通道数据。它是有不同的 在模式的选择的影响，以及它相关的复杂性，混合活动的“日常”的数据，设置活动相比，动态数据（例如步行）。平均路径损耗的不足，甚至位数的路径损失的措施，作为唯一的表征还强调“禁止通道。 (A new approach to compare models for body area networks (BAN) that accommodates multiple links and multiple subjects is presented. The absolute measure described allows comparison across a spectrum of possible characterizations ranging from single-parameter for an entire ensemble, through to per-activity, per-subject and per-link based parameterized models. The use of an explicit trade-off between error and complexity, combined in a goodness-of-fit measure, is shown to have important consequences when applied to a range of typical BAN channel data. It is shown that there are different implications in choice of model, and it’s associated complexity, for mixed-activity “everyday” data, when compared with set-activity dynamic data (e.g. walking). The deficiency of mean path loss, or even median path loss measures, as a sole characterization of the BAN channel is also highlighted.)

MATLAB的空气质量评价的应用，数据为贵阳市近年来的天气资料(The application of MATLAB to air quality evaluation, data for weather information in recent years in Guiyang)

说明：   matlab中常用的源代码，以及m文件生成的常用函数(matlab commonly used in the source code, as well as the usual functions m file generation)