frmnx

Ellipsoid fit, fit ellipse on 3d data, matlab

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)

高斯过程 提供了多个核函数的选择以及拟合还有预测上的使用(Gaussion Process)

这是一种基于线性加速度假设的用于编制大型程序的算法，即威尔逊法，可用于微分方程描述的问题计算仿真(This is an assumption based on the linear acceleration of procedures for the preparation of large-scale algorithm, namely, Wilson law, can be used in differential equations to describe the problem of simulation)

used to calculate matrices opeartion

说明：  无速度传感器.rar 异步电机的无速度传感器的矢量控制。matlab程序。有详细的说明文件。用于交流学习用(Speed sensorless. Speed sensorless vector control of RAR induction motor. Matlab program. There are detailed documents. For communication and learning)

用Matlab编程实现小波变换小波变换的mallat算法，多孔算法，小波提升算法(Programming with Matlab wavelet transform mallat wavelet transform algorithm, porous algorithm, wavelet lifting scheme)

说明：  自己编写的卡尔曼滤波算法算例，实现四阶AR模型的最优权值估计。(Kalman filter algorithm, for optimal weight estimating of fourth-order AR model.)

使用matlab编写的图形用户界面（GUI），用于测试自动控制中连续系统和离散系统的各项性能，比较基础。(Prepared using matlab graphical user interface (GUI), used to test the automatic control of continuous systems and discrete systems of the performance basis for comparison.)

：在介绍过程监控主要内容及方法的基础上，归纳分析了统计过程监控的发展，详细阐述了传统 的PCA、PCR、PLS、FDA、HMM 和几种改进的PCA方法．指出，将人的经验和专家知识融人到PCA统计过程 监控，提高PCA的故障检测、隔离能力，完善故障诊断与评价能力，将是一个有价值的研究方向(: In the introduction the main content and methods of process monitoring based on the inductive analysis of the statistical process monitoring of development, elaborated on the traditional PCA, PCR, PLS, FDA, HMM, and several improved PCA method. Pointed out that the human experience and financial expertise to the PCA statistical process monitoring of people and improve the PCA fault detection, isolation, and improve fault diagnosis and evaluation capacity, will be a valuable research)