matlab-gui

this code is estimate dyley time .

说明：  设计滤波器：设定10个零点，计算出多项式系数，作为滤波器系数； 取出绝对值较大的一半零点，重新设计滤波器；用剩下的绝对值较小的一半零点，重新设计滤波器。(Design a filter: Set of 10 zeros, calculate the polynomial coefficients as filter coefficients remove the larger half of the absolute value of zero, re-design filter with the remaining half of the smaller absolute zero, re-design filter.)

creates code of barras to bussines

Question 1.1 Sullivan

力的非线性表现随工作点在Streibeck曲线上所处的区段不同可以由范德波尔方程描述(Van Der Pol equation)

MATLAB在电子信息工程中的应用[张德丰][程序源代码]对初学者很有用(MATLAB in electronic and information engineering application ZhangDeFeng [source code] for beginners is very useful)

国外网站下载的程序包，包含mindist_classifier_type，pca，PNN，svm等几个算法程序，希望对大家有用。(Foreign website package, including mindist_classifier_type, pca, PNN, svm algorithm program, and several, we hope to be useful.)

本文在分析移动无线信道衰落特性的基础上,阐述了OFDM系统的基本原理,主要研究了OFDM通信系统中的基于导频符号的信道估计问题,分析了几种经典的信道估计算法以及相关的关键技术环节。 在此基础上介绍了OFDM技术在现实中的一个应用——WLAN IEEE802.11a系统模型,利用Matlab仿真软件完成OFDM系统信号生成、噪声生成、导频插入、循环前缀、调制、解调等部分的设计,最后结合计算机仿真对系统关键技术(导频、循环前缀、估计算法)的有效性和可行性进行了全面的分析与比较。适合matlab研究(Based on the analysis of mobile channel fading characteristics based on the OFDM system on the basic principles of research in the OFDM communication system of the pilot symbols based on channel estimation problem, an analysis of several classical channel estimation algorithm and the associated key technical links. On this basis, introduced OFDM technology in a practical application- WLAN IEEE802.11a system model, using Matlab simulation software to complete OFDM signal generation, noise generation, pilot insertion, cyclic prefix, modulation, demodulation and other parts of the design, the final combination of computer simulation of the system of key technologies (pilots, cyclic prefix, it is estimated that algorithm) the effectiveness and feasibility of a comprehensive analysis and comparison. Suitable for research matlab)

MATLAB程序，prce法计算模态参数(PRCE method )

最小一乘算法和最小一乘拟合直线。这是最小一乘拟合直线的matlab算法。(Least absolute deviation fitting algorithm and the least absolute deviation line. This is the minimum by fitting a straight line matlab algorithm.)