dsp

Fuzzy knowledge-based system identification and modeling process is composed of two parts: variable identification and parameter identification. In variable identification, the significant variables of the system are identified among the set of possible variables. In parameter identification, the parameters of the knowledge-based system that describe the relationship between input and the output variables are identified. Parameter identification method consist of two steps: 1-find fuzzy clusters to establish the number of fuzzy rules 2-optimize the rule consequents. This code perform a fuzzy clustering using subtractive clustering

基于差分进化算法的pid参数优化，包括性能指标(PID parameter optimization based on differential evolution algorithm, including performance indicators)

The following Matlab project contains the source code and Matlab examples used for two stage kalman fliter for system identification. Reference :Lei Y, Jiang Y Q. The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

相信大家已经注意到了，伴随着微观金融理论的发展，以随机分析为核心的数学理论 也在同步发展，并不断为金融学家们所吸收和运用，它们交织在一起，密不可分又相映生 辉②。它们相映生辉倒不要紧，但就给研究者带来了很多困难：由于微观金融学研究重点的 特殊性和复杂性（不确定性和动态性），注定以随机分析作为其主要数学工具，这无形中提 高了这一学科的门槛③。

Electric Machines Analysis and Design Applying MATLAB

kummer function for matlab

64位系统下，ksvd降噪的matlab代码(64 bit system, ksvd noise reduction of matlab code)

MIMO雷达估计均方误差计算，自己写的，已调试，可直接运行(MIMO Radar EMSE)

基于虚拟阵列的 MUSIC算法 MATLAB(MUSIC algorithm based on MATLAB Virtual Array)

串联模糊PID，搭建模糊PID框架，并与普通PID对比，演示模糊控制特点(Series fuzzy PID, fuzzy PID frame structures and contrast with the ordinary PID, fuzzy control features demo)