FCM

通过读取人体心跳数据，计算心率以及在图片中圈出P,Q,R,S,T波的位置(According the data of human heart,calculate the heart rate and point out where is the P,Q,R,S,T in the picture.)

说明：  带约束多变量DMC控制，能处理带约束的多变量DMC的控制问题(Constrained multivariable DMC control, able to handle constrained multivariable control problem of DMC)

几个异步电机仿真模型，启动，翻转，调速等(Several induction motor simulation models, starting, turning, speed, etc.)

edge detection robert

动态规划matlab 程序 增程式电动客车整车能量管理(Dynamic programming matlab program Energy management of Extended range electric bus )

多重线性回归的算法实现，在matlab的环境下实现(Multiple linear regression algorithm in matlab environment)

基于RBF神经网络辨识的单神经元PID模型参考自适应控制基于RBF神经网络辨识的单神经元PID模型参考自适应控制(Based on RBF Neural Network Identification of single neuron PID model reference adaptive control based on RBF Neural Network Identification of single neuron PID model reference adaptive control)

这是一个三坐标卡尔曼滤波的程序，是对于跟踪定位的内容的，程序比较详细和使用，一定要看哦(This is a 3D Kalman filtering process, which is tracking the content, procedures and the use of more detailed and look at the oh)

张量分解提取生物学特征，NFEA: Tensor Toolbox for Feature Extraction and Applications( Data in modern applications such as BCI based on EEG signals often contain multi-modes due to mechanism of data recording, e.g. signals recorded by multiple-sensors (electrodes), in multiple trials, epochs, for multiple subjects and with different tasks, conditions. Moreover, during processing and analysis, dimensionality of the data could be augmented due to expression of the data into sparse domain (time-frequency representation) by different transforms such as STFT, wavelets. That means data itself is naturally a tensor, and has multilinear structures. Standard approaches which analyze such data by considering them as vectors or matrices might be not suitable due to risk of losing the covariance information among various modes. To discover hidden multilinear structures, features within the data, the analysis tools should reflect the multi-dimensional structure of the data)

利用Matlab实现矢量量化LBGVQ算法，(failed to translate)