07_08

说明：  用matlab实现信号处理，利用matlab强大的数据处理能力可以实现信号的处理(Using matlab to achieve signal processing, data processing using matlab powerful signal processing capability can be achieved)

一本关于MATLAB编写风格的书，适合所有matlab爱好者。(A book written in MATLAB style, suitable for all matlab lovers.)

实验报告关于matlab数值分析上机实验报告(Lab report matlab)

implementing the echoing application in matlab

本资料详实的讲解了matlab的基础知识及编程方法，是初学者学习的好资料(this informative presentation of the basic knowledge of Matlab programming method and is a good beginners learning information)

经验模式分解算法是仿真分数阶高斯噪声(fGn)和分数阶布朗运动(fBm)的新方法， 利用MATLAB的GUI开发环境，设计和实现了基于经验模式分解的分数阶随机序列仿真系统。(Empirical mode decomposition algorithm is a simulation of fractional Gaussian noise (fGn) and fractional Brownian motion (fBm) of the new method, using MATLAB' s GUI development environment, design and implementation of empirical mode decomposition based on the fractional order random sequence simulation system.)

机器人的鲁棒自适应控制仿真程序，机器人动力学模型及其结构(Robust Adaptive Control of robot simulation program, the robot dynamic model and its structure)

ZF Demodulator Radio simulation

利用小波神经网络来对时间序列进行预测的源程序(Wavelet neural network to predict the time series of source)

主成分分析(PCA)是一个数学的过程,它使用一个正交变换转换成一组观测到的可能相关的因素形成一套价值观的独立变量称为主成分。主成分的数量小于或等于原始变量的数目 (Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components. The number of principal components is less than or equal to the number of original variables)