MATLAB-of-complex-networks

Pulse Code Modulation脉宽调制技术的matlab示例代码。(Pulse Code Modulation Pulse Width Modulation technology, matlab sample code.)

this is gabor bank filter

viterbi译码，利用matlab进行的仿真平台搭建(viterbi decoding, the use of matlab simulation platform built for)

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.)

for all design of CDMA optique and its solutions

阵列超声阵列个数对D的影响，仿真图显示对比(array of ultrasonic array number of D simulation chart shows the contrast)

this best way of removal of noise for beginners

用matlab编辑音乐，模拟萧的声音演奏天空之城(Use matlab to edit music)

求出运动目标回波信号的极值,运行时需找一个信号，并修改路径(The extreme value of moving target echo signal, runtime needs to find a signal, and modify the path )

全变差求解病态线性方程组的算法说明及其Matlab上的实现代码，在反演问题中常常会用到，全变差正则化具有边界识别强的特点，在图像去噪和恢复方面很有价值！(Total Variation solving ill-conditioned linear equations Matlab algorithm description and implementation code on the inverse problem will often be used, total variation regularization with boundary recognition and strong features, in terms of image denoising and restoration is very value!)