turboGAMPdecoding_v2-(1)

说明：  基本的遗传算法matlab语言实现，可变换其中的目标函数，实现计算(Basic genetic algorithm matlab language can transform one of the objective function, the realization of the calculation)

说明：  基于MATLAB Simulink的系统仿真技术与应用这本书里的自抗扰控制器源码，自己编的，可以运行，适合学习(Based on MATLAB Simulink system simulation technology and application of this book of active disturbance rejection controller source code, self compiled, can run, suitable for learning)

说明：  MIMO相关的空时编码 包括调制编码等等(MIMO related to the modulation coding space-time coding, etc.)

利用周期图方法计算功率谱 方法为8次不重叠平均(use peridoric method to calculate PSD)

Script to solve the heat equation in soil with seasonal temperature forcing

采用simulink和stateflow对ABS模型中的连续控制和离散控制进行仿真(Using simulink and Stateflow model of the ABS control and discrete control of continuous simulation)

matlab图像集合变化与图像增强操作以及报告 (MATLAB image collections and image enhancement operations and reporting)

电网经过整流使用传统DPT控制器的设计与仿真(Design and Simulation of traditional DPT controller for power grid after rectification.)

网络控制器的文章，主要应用场合为工控行业，希望对大家有用(Network controller of the article, the main applications for the industrial sector, in the hope that useful)

In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is introduced by using the SVM. The kernel mapping idea is used to derive the non-linear version, Kernel Discriminant via Support Vectors (SVKD). In SVDA, only support vectors are involved to obtain the transformation matrix. Thus, the computational complexity can be greatly reduced for kernel based feature extraction. Experiments carried out on several standard databases show a clear improvement on LDA-based recognition