方向图

说明：  纯滞后系统的smith控制算法，给出了仿真程序清单和simulink仿真模块(delay systems smith control algorithm, a simulation program is given a list and Simulink simulation module)

這個事檔案是一個基礎的MIMO ofdm vblast的通訊平台, 可以對一個高斯分佈rp行程的數位信號找出其error rate performance(this is a matter files based on the MIMO OFDM vblast communications platform, can a Gaussian distribution rp itinerary digital signal to identify its error rate performanc e)

基于matlab的BOC信号的自相关函数，阶数n可以自定义，正余弦相位也可以自定义；CBOC的自相关函数程序(MATLAB based on, BOC_ACF, n_order,CBOC_ACF)

模拟滤波器，实现模拟信号的FIR滤波，并画出单边频谱图(Analog filters, analog signal FIR filter, and draw the unilateral spectrogram)

This is Expectation Maximization algorithm code.

蒙特卡罗算法方法的课件，自己看了感觉还行，请一起分享(Monte Carlo algorithm method courseware, their own feel good read, please share)

用matlab实现了五类灰色关联度模型的计算，包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度、T关联度。附带两个测试用数据列的生成函数。(Matlab achieved with five gray correlation model calculation, including the Tang correlation degree, the absolute correlation, the slope of correlation to improve the absolute correlation, T correlation. Attached to the two test data out of the generating function.)

维纳滤波的代码：维纳滤波的计算机实现，简单易懂(Wiener filtering code: Wiener filtering computer, and easy to understand)

EM algorithm using matlab

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.)