GSMTCHFS

卡尔曼滤波与组合导航原理，非常适合初学者了解原理(Kalman filtering and navigation principles, the principle is very suitable for beginners to understand)

【谷速软件编程】matlab源码-基于哈希编码图像检索 可以作为参考使用，程序是word版本 ([Valley] matlab source software programming speed- hash-coded image-based retri can be used as a reference, the program is a word version)

This is a detector of RR based on wavelet for ECG os 1khz sample frequency

说明：  先进PID控制Matlab仿真(刘金琨编)第4版-仿真程序 全书分17章，包括基本的PID控制、PID控制器的整定、时滞系统PID控制、基于微分器的PID控制、基于观测器的PID控制、自抗扰控制器及其PID控制、PD鲁棒自适应控制、专家PID控制和模糊PD控制、神经网络PID控制、基于差分进化的PID控制、伺服系统PID控制、迭代学PID控制、挠性及奇异摄动系统的PD控制、机械PID控制，以及其他控制方法的设计。每种方法都给出了算法推导、实例分析和相应的MATLAB仿真设计程序。(Advanced PID Control matlab simulation (edited by Liu Jinqi) - 4th Edition - simulation program The book is divided into 17 chapters, including basic PID control, tuning of PID controller, PID control of time-delay system, PID control based on differentiator, PID control based on observer, ADRC and its PID control, PD robust adaptive control, expert PID control and fuzzy PD control, neural network PID control, PID control based on differential evolution, PID control of servo system and iterative PID control. The design of PD control, mechanical PID control and other control methods for flexible and singular perturbation systems. Each method gives the algorithm derivation, case analysis and corresponding MATLAB simulation design program.)

单模多项式矩阵的分解算法，支持符号运算，用matlab实现了smith算法(Polynomial matrix of single-mode decomposition algorithm, to support the symbolic operation, using matlab algorithm achieved smith)

MDP_Markov decision prosses, transition Probability

说明：  针对智能微电网优化配置问题，分别对微电网中风机、光伏和储能电池进行容量设计，并采用粒子群算法对系统进行优化配置。(Aiming at the optimization configuration of the smart microgrid, the capacity design of the wind turbine, photovoltaic and energy storage batteries in the microgrid are respectively carried out, and the particle swarm algorithm is used to optimize the configuration of the system.)

粗糙集MATLAB程序~~~~~~~~~~~~~~~~~~~~~(MATLAB PROGRAM)

提出了一种改进的独立分量分析方法对脑电信号进行去伪迹消噪，取得了相当不错的效果(An improved method of independent component analysis to EEG artifact noise cancellation, very good results achieved)

这是一种基于密度的聚类分析算法，可以发现任意形状的簇，可以发现噪声点。(This is a density-based clustering analysis algorithm can find clusters of arbitrary shape can be found noise points.)