Max_Appro

Matlab Tutorials with Diskription und Files

removal of both powerline interference and base line wander

1. m-file powspec computes the powerspectrum of the input signal. 2. m-file ispecgram computes the inverse of the output of specgram

apso针对配电网重构，matlab程序(apso for Distribution Network Reconfiguration, matlab program)

This function Skeleton will calculate an accurate skeleton (centerlines) of an object represented by an binary image / volume using the fastmarching distance transform.

最小二乘曲线拟合 可以拟合曲线 得到所拟合的系数 GUI界面(least-square Curve fitting)

本书提供RF非线性功放行为建模，从基本概念到设计准则特别是各种经典及当前的建模技术。 作者DOMINIQUE SCHREURS(RF POWER AMPLIFIER BEHAVIORAL MODELING. This book provides a comprehensive treatment of radio-frequency (RF) nonlinear power amplifier behavioural modelling, from the fundamental concepts and principles through to the range of classical and, especially, current modelling techniques.)

CSI对MIMO系统容量影响的仿真与分析(Simulation and Analysis for MIMO system capacity CSI effect)

1.本书包含的实例所使用的源程序清单，文件夹第3章～第7章分别包括各章节内的实例源程序。 2.源程序文件名与所在章节和实例序号对应，如：3_1.m为第三章实例一【例3_1】的源程序。 3.文件夹tftoolbox为2002版的时频工具箱，第六章“非平稳信号分析与处理”需要用到该工 具箱的部分函数。请将其拷贝到用户的MATLAB工作路径（如D:R2006awork） 4.各章节的M文件已在MATLAB R2006a环境下调试通过，拷贝到用户的MATLAB工作路径（如 D:R2006awork）下即可运行。(1. This book contains examples of source code used in the list of folders in Chapter 3 ~ Chapter 7, respectively, including the section within the source code examples. 2. Source file name and serial number where the corresponding chapters and examples, such as: 3_1.m for example Chapter 1 3_1】 【Example of the source. 3. Tftoolbox folder for the 2002 version of the Time-Frequency Toolbox, Chapter VI, " Non-stationary signal analysis and processing" required to use part of the toolbox functions. I would be grateful if a copy job to the user' s MATLAB path [such as D: R2006a work] 4. Of all sections of M are available at MATLAB R2006a debugging environment through, copy to the user' s job MATLAB path [such as D: R2006a work ] to run under.)

基于MATLAB编写的SVM多分类算法程序(Based on MATLAB prepared multi-SVM classification algorithm procedure)