PWE_PBS_3Dfcc

2D傅立叶变换，上课的小作业，包含报告和源码(2D Fourier transform, the small school assignments, reports and source code that contains)

基于角度和时延联合估计（JADE）算法MATLAB仿真程序(Based on joint angle and delay estimation (JADE) algorithm MATLAB simulation program)

It is about the simulation of brag fiber grating.Using direct analytical method to determine the variation of reflectivity vs length curve

用matlab实习的GPS软件接收机的方法等，仅供参考。(Matlab internship with the GPS software receiver method, etc., for reference purposes only.)

Blind Equalizer 的演算法主要是利用CMA及 LMS 的配合，当CMA将EYE打开，使讯号趋近于正确值，就切换到LMS，利用Slicer的输出当作training sequence来调整Equalizer的系数，而Carrier Recovery 的部份，则是将phase error track出来(Blind Equalizer algorithm is the use of the CMA and LMS tie, When the CMA will EYE open, signaling close to the correct value, it switched to the LMS. SLICER use of the output as training sequence to adjust Equalize The coefficient r, and some of Carrier Recovery, the type of track out phase error)

研究无线传感器网络覆盖空洞时要用的通信图。(WSN communication graph)

MATLAB FUZZY CLUSTRING

关于非线性离散系统辨识，这个有中文注释，看得明白，最小二乘回归分析算法。( Nonlinear discrete system identification, The Chinese have a comment, understand it, Least-squares regression analysis algorithm.)

Symbolic Representations of Time Series... SAX is just as good as other representations, or working on the raw data for most problems (Slides shown at the end of this presentation)

智能控制理论的各种算法及其应用，第一章为引言部分，概略控制理论和技术的发展、应用、复杂性等，对各章内容做一个大概的介绍；第二章介绍模糊逻辑基础，包括各种模糊基础模糊语言等；第三章主要讲模糊控制的概念、应用、范围和各种参数等；第四章介绍神经元网络的基本理论、神经网络基本模型等；第五章针对第四章的神经网络模型，提出了神经网络控制办法及其目的和各种模型；第六章讲了遗传算法，包括基本遗传算法，GA的实现技术等。本材料为东南大学和南京航空航天大学各相关工科专业的指导教材，为绝大多数老师所指定。(Various algorithms for intelligent control theory and its applications, the first chapter is an introduction part, the schematic control theory and technology development, application, complexity, do a general introduction to the contents of each chapter second chapter introduces the fuzzy logic base, blur the basis of fuzzy language Chapter the main stresses the concept of fuzzy control, application range and variety of parameters fourth chapter describes the basic theory of neural network, neural network model, etc. Chapter V for the first The four chapters of the neural network model, the proposed neural network control approach and its purpose, and a variety of models sixth chapter genetic algorithms, including the basic genetic algorithm, GA implementation techniques. This material is Southeast University and Nanjing University of Aeronautics and Astronautics and the related engineering guidance materials specified for the vast majority of teachers.)