DLDAchange

国外学者编写UKF、EKF、IMM的matlab源码和说明文档，注释清楚，条理性强。最新版本(The methods that are discussed in the current documentation are: Kalman filters and smoothers.Extended Kalman filters and smoothers Unscented Kalman filters and smoothers Interacting Multiple Model (IMM) filters and smoothers)

说明：  自适应里面的自校正算法，根据最小二乘递归算法实现自校正控制(Adaptive self-tuning algorithm which, according to the recursive least squares algorithm for adaptive control)

SVM神经网络的数据分类预测-葡萄酒种类识别(SVM neural network data classification forecast- Wine Type Identification)

doa估计，即波达方向估计中的esprint算法，经过验证可以成功运行(doa estimation, estimation of DOA esprint algorithm can be run successfully, proven)

Dijkstra routing algorithm example

整有效。中间四个字节分别代表设备的地址、指令类型、指令参数1(OPT1)和指令参数2(OPT2)。设备在对这四个字节的内容进行译码后执行相应的操作

说明：  研究新混沌所用，用于开发研究新的混沌及图形。(matalab )

使用MVDR方法进行信号频率估计的matlab仿真代码(MVDR method using frequency estimation matlab simulation code)

这是Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing书中对应的实现程序，对理解书中所讲理论有很好的帮组，这本书是学习稀疏编码和压缩感知的一本很好的书(Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing book corresponding implementation procedures, there is a good understanding of the book talking about the theory help group, this book is to learn sparse coding and compressed sensing a very good book)

车联网仿真，路边单元场景仿真，单路边单元、双路边单元、城市场景。(Vehicle network simulation, roadside unit scene simulation, single side cell, double roadside unit and urban scene.)