MATLAB_notes

该压缩包中含有极为详细的基于matlab的各类小波变换算法，并且已经调试通过，具有较高的参考价值( In this compression package includes extremely in detail based on the matlab each kind of wavelet transformation algorithm, and already debugged passes, has the high reference value )

用matlab实现灰度共生矩阵算法，并提取特征量(GLCM with matlab implementation algorithms, and the amount of extracted features)

适合神经网络初学者.程序中已经输入实验数据,在matlab环境下直接运行即可.可以输入其它新数据,并改动.(neural network for beginners. Procedures have been imported experimental data, in Matlab environment can be run directly. the importation of other new data and changes.)

噪声背景下的语音端点检测和语音增强算法，在信噪比很低的强航空噪声背景下，(aviation noise background voice endpoint detection and voice enhancement algorithms, and very low signal to noise ratio in the strong aviation background noise, particularly effective)

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.)

linearizator to model

用模拟退火求解非线性规划的具体例子，很有提高，希望大家能学习学习(Nonlinear programming using simulated annealing)

对非线性数据进行处理，利用多项式进行拟合(Fit the curve with mean5-3 smoothing, which can be used for friction coefficient curve and nonlinear data for fitting)

说明：  我不太会用matlab，这就是一个用过来实现DPC的算法(Implementation of DPC)

高斯消元的一个例子。。应用于数值分析算法。希望能帮到大家。(gauss)