digital-filter

统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines( This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm )

弹道仿真中Matcom 与VC 混合编程技术研究.pdf(Matcom trajectory simulation of mixed programming with VC. Pdf)

RS分形算法matlab代码实现,既利用RS方法计算时间序列的分形hurst指数(RS fractal algorithm to achieve Matlab code, RS is calculated using time series fractal hurst index)

主成分分析程序实现数据降维，能用比较少的变量解释大部分资料中的变异的几个新变量(Several new variables principal component analysis procedures to achieve data dimensionality reduction, most of the information in the variation can be explained by the relatively few variables)

torsche是matlab下的一个工具箱，可以用来仿真实时调度算法，如EDF RM等，结合Matlab和Visual studio混编后可以使用，其自带的一些工具包里也有很多应用用例可以用来参考(torsche under a toolbox matlab , simulation can be used for real-time scheduling algorithms, such as EDF RM , etc. , combined with Matlab and Visual studio can use the hash , which comes with some tools package , there are many use cases can be used to refer to the application)

遗传算法和PSO算法分别对神经网络进行预测(Neural network prediction based on genetic algorithm and PSO)

说明：  中文语言理解测评基准，包括代表性的数据集、基准(预训练)模型、语料库、排行榜。 我们会选择一系列有一定代表性的任务对应的数据集，做为我们测试基准的数据集。这些数据集会覆盖不同的任务、数据量、任务难度。(Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models, corpus and leaderboard)

code is related to matlab any can use it

gui tutorial images part1

EKF-SLAM Simulator This version of the simulator uses global variables for all large objects, such as the state covariance matrix. While bad programming practice, it is a necessary evil for MatLab efficiency, as MatLab has no facility to avoid gratuitous memory allocation and copying when passing (and modifying) variables between functions. With this concession, effort has been made to keep the code as clean and modular as possible.