MATLAB--guide

the intersection of cycl in matlab.show the result in figur.

关于系统辨识的电子教案，内有教案中的用matlab编写的示例程序。(system identification , there are samples programmed by matlab .)

OFDM发射机16QAM IFFT模块MATLAB程序(failed to translate)

the threshold obtained in maximum entropy is optimized with particle swarm optimization. the result is good

MATLAB 的基4和分裂基FFT变换算法(MATLAB FFT)

改进的混合高斯背景模型，用于检测运动目标，能够有效的提取前景(Improved gaussian mixture background model, used to detect moving targets, and can effectively extract prospect)

关于系统的神经网络的matlab辨识问题(system identification matlab about neural network)

函数种类全面的matlab数据统计识别工具箱(Matlab data function type of comprehensive statistical identification toolbox)

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)

实现了1D,2D,3D空间自由度下的运动参数的扩展Kalman滤波算法，文章2008 IROS Visual SLAM for 3D Large-Scale Seabed Acquisition Employing Underwater Vehicles的具体实现。(a novel technique to align partial 3D reconstructions of the seabed acquired by a stereo camera mounted on an autonomous underwater vehicle. Vehicle localization and seabed mapping is performed simultaneously by means of an Extended Kalman Filter. Passive landmarks are detected on the images and characterized considering 2D and 3D features. Landmarks are re-observed while the robot is navigating and data association becomes easier but robust. Once the survey is completed, vehicle trajectory is smoothed by a Rauch-Tung-Striebel filter obtaining an even better alignment of the 3D views and yet a large-scale acquisition of the seabed.)