DLB

计算正弦信号apFFT数字全相位信号谱，并把图形画出可视化(Calculated sinusoidal signal apFFT digital, full-phase signal spectrum, and to draw graphical visualization)

The purpose of this code is to use GOOGLE translate to translate help of a command in MATLAB ( This code is written by M.A. (aka lftx). The purpose of this code is to use GOOGLE translate to translate help of a command in MATLAB to Turkish (you can modify it). So do not expect much. You need an active internet connection for this function to work The function uses a java package to use GOOGLE translate s API which is not developed by me, for detailed description of the java files you can check http://code.google.com/p/google-api-translate-java/ the usage of the file is very similar to the original "help" function and if you add the files to your matlab s path you can use it as you use MATLAB "help" function EXAMPLES: helptr eye EXAMPLES: helptr( why ) or helptr why The function has been working as of DEC 2010 I cannot guarantee that it would be working in the future, as google might change its API, or might not like your referring webpage or maybe your IP. )

segmentation of licence plate character

This white paper will help for who like research to process speech and lest is echo cancell

本代码是基于matlab 的交通路标识别(this text is use matlab for Traffic sign recognition )

important filssssssss

主要用于实现模糊滑模控制，不仅效果明显，而且代码简单有效(fuzzy sliding control)

M/M/K的计算机仿真，排队系统是一种比较典型的离散动态系统，按照规定，它的仿真必然涉及到时间的表示，事件驱动的表示。这里我们采用静态的仿真思想实现M/M/1的计算机仿真。(M/M/K of the computer simulation, queuing system is a typical discrete dynamic system, in accordance with the regulations, it necessarily involves the simulation of time that the event-driven representation. Here we use a static ideology M/M/1 simulation computer simulation.)

随机森林 MATLAB版算法，可以运行，能较好的实现分类算法，只是速度有点慢(Random forest MATLAB version of the algorithm can be run, better classification algorithms, but the speed is a little slow)

说明：  Matlab入门级图像处理程序__运用5种不同的梯度增强法进行图像锐化(Matlab image processing procedures for the entry-level __ gradient using 5 different methods for image enhancement sharpening)