radar-signal-processing(matlab)

Using Matlab, 很好很基础的书(Using Matlab, good and basic introduction)

1、熟悉LTE网络体系架构及接口； 2、掌握DBS3900单站数据配置整体流程； 3、掌握DBS3900单站全局数据配置步骤； 4、掌握DBS3900单站全局传输数据配置命令及参数含义； 5、掌握DBS3900单站无线层数据配置命令及参数含义； 6、理解BBU LMPT单板电口IP至MME IP地址对应意义（指向控制面--SCTPLNK）； 7、理解BBU LMPT单板电口IP与S-GW IP地址对应意义（指向用户面---IPPATH）； 8、理解扇区、小区的概念及二者的关系、 9、会将MML命令行制作成脚本数据。 ( A familiar LTE network architecture and interfaces 2, master data configuration DBS3900 single station overall process 3, master DBS3900 single station Global Data configuration steps 4, master DBS3900 single station global configuration commands and parameters of data transmission meaning 5, master data DBS3900 single station radio layer configuration commands and parameters meaning 6, understanding BBU LMPT board electrical interface IP to the MME IP address corresponding meaning (pointing control surfaces- SCTPLNK) 7, understanding BBU LMPT board electrical interface IP and S-GW IP address corresponding meaning (pointing to the user plane--- IPPATH) 8, understanding the sector, community and the relationship between the concepts, 9, will be made ​ ​ into MML command line script data.)

Simple Matlab Code for Neural Network Hebb Learning Rule. It is good for NN beginners students. It can be applied for simple tasks e.g. Logic and , or , not and simple images classification.

人脸识别算法matlab代码，可以实现，如PCA,ICA，SVM,LDA等(Matlab code for face recognition algorithms can be achieved, such as PCA, ICA, the SVM, LDA)

Induction motor - simulink

Multi-resolution analysis in MATLAB

Fuzzy Optimal Control for Multistage Fuzzy Systems

这是冈萨雷斯数字图像处理matlab版教材的源代码，对学习图像处理的朋友很有帮助(This is Gonzalez of digital image processing matlab source code version of the textbook and friends to learn useful image processing)

可模拟单透镜的几何光线追迹图，分析焦距与面型的关系，作为输入zemax，codev光学设计软件的初始结构(single lens design，zemax，effective focal length )

搜集了几种人工只能算法，基于Matlab平台编写，包括聚类、统计稀疏、最小范数法、DOA、投影追踪、稀疏贝叶斯等(Several artificial algorithms are collected and compiled on the platform of matlab, including clustering, statistical sparseness, minimum norm method, DOA, projection tracking, sparse Bayesian, etc.)