SIFT

使用小波包变换分析信号的MATLAB程序(Simulation of a simple short-circuit voltage sag signal, find the modulus maxima of wavelet coefficients...)

matlab实现离散快速傅里叶变化，并画图(matlab discrete fast Fourier transform, and drawing)

蒙特卡洛模拟，期权定价分析，收益模型仿真。Monte Carlo simulation for returns(Monte Carlo simulation for returns)

本章有三个目的：一是讲述 MATLAB正常运行所必须具备的基础条件；二是简明地介 绍MATLAB及其操作桌面Desktop的基本使用方法；三是全面介绍 MATLAB的帮助系统。 本章的前两节讲述：MATLAB的正确安装方法和 MATLAB 环境的启动。因为指令窗 是MATLAB最重要的操作界面，所以本章用第 1.3 、1.4 两节以最简单通俗的叙述、算例 讲述指令窗的基本操作方法和规则。这部分内容几乎对MATLAB各种版本都适用。第1.5 到第1.8 节专门介绍 MATLAB最常用的另五个交互界面：历史指令窗、当前目录浏览器、 工作空间浏览器、数组编辑器、M 文件编辑器。 鉴于实际应用中，帮助信息和求助技能的 重要性。本章专设第1.9节专门叙述MATLAB的帮助体系和求助方法。 作者建议：不管读者此前是否使用过MATLAB，都不要忽略本章。(This chapter has three purposes: one is about MATLAB normal operation must have the basic conditions 2 it is concisely interface Salt MATLAB and its operation is the basic way of using the Desktop Desktop Three is a comprehensive introduction of MATLAB help system. About the first two sections in this chapter: MATLAB installation method and the MATLAB environment right start. Because the instructions window Is the most important interface of MATLAB, so this chapter with 1.3 and 1.3 two accounts in the most simple and popular, example Basic operation methods and rules about command window. This part of almost all versions of MATLAB. 1.5 To section 1.8 on another five interfaces: the most commonly used MATLAB command window, the current directory browser history, The workspace browser, array editor, M file editor. In view of practical applications, the help information and skills for help Importance. Set up in section 1.9 of this chapter specifically address the MATLAB help syst)

用于信号特征提取、信号消噪，用MATLAB编写的遗传算法路径规划，采用加权网络中节点强度和权重都是幂率分布的模型。( For feature extraction, signal de-noising, Genetic algorithms using MATLAB path planning, Using weighted model nodes in the network strength and weight are power law distribution.)

speech recognition code for matlab

QPSK调制解调，包括波形，误码率，并加入时延，以前做的实验，可以作为参考。(QPSK modulation and demodulation, including waveforms, error rate, and add delay, before doing the experiment, can be used as reference.)

考察温度x对产量y的影响，测得下列10组数据：求y关于x的线性回归方程，检验回归效果是否显著，并预测x=42℃时产量的估值及预测区间（置信度95 ） 示例包含在内(X on the output of the temperature study of the impact of y, measured the following 10 sets of data: for y on x of the linear regression equation to test whether the effect of a significant regression and prediction when x = 42 ℃, and the valuation of yield prediction interval (confidence level 95 ) sample included)

最优化理论的课件 也是我去年上课时自己保留的课件 很实用 里面的算法 简单明了(Optimization theory courseware is also very practical courseware in my class last year retained inside the algorithm is simple)

New clasification neural network