MatlabFiles_for_Contemporary_Communicatios_Books

将带发送数据序列映射为格雷码，相邻的码元只有一个符号不同。(mapping the deta serial into GeLei code,whose closed code only one symbol is different)

polynomial rootfinding with Laguerre s method

circular convolution and some matlab codes

Simple manual of project 2007 in spanish

说明：  改程序实现了模糊控制与模糊神经网络的等价转换！欢迎下载！(Reform program to achieve a fuzzy control and fuzzy neural network is equivalent to conversion! Welcome to download!)

SPECTRAL_ANALYSIS M-file for spectral_analysis.fig SPECTRAL_ANALYSIS, by itself, creates a new SPECTRAL_ANALYSIS or raises the existing singleton*. H = SPECTRAL_ANALYSIS returns the handle to a new SPECTRAL_ANALYSIS or the handle to the existing singleton*. SPECTRAL_ANALYSIS( CALLBACK ,hObject,eventData,handles,...) calls the local function named CALLBACK in SPECTRAL_ANALYSIS.M with the given input arguments. SPECTRAL_ANALYSIS( Property , Value ,...) creates a new SPECTRAL_ANALYSIS or raises the existing singleton*. Starting from the left, property value pairs are applied to the GUI before spectral_analysis_OpeningFcn gets called. An unrecognized property name or invalid value makes property application stop. All inputs are passed to spectral_analysis_OpeningFcn via varargin.

IMC-PID是利用内模控制原理来对PID参数进行计算，中介真值程度度量，基于中介真值程度度量的图像分割包括回归分析和概率统计。( The IMC- PID is using the internal model control principle for PID parameters is calculated, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Including regression an)

The Famous Latest LibSVM

These notes were prepared from the The CISSP Prep Gu ide: Mastering the Ten Domains of Computer Security by Ronald L. Krutz, Russell Dean Vines, Edward M. Stroz and are not intended to be a replacement to the book.(These notes were prepared from the The CISSP Prep Gu ide: Mastering the Ten Domains of Computer Security by Ronald L. Krutz, Russell Dean Vines, Edward M. Stroz and are not intended to be a replacement to the book.)

该程序为用于数据挖掘算法中的基本方法基于密度方法(k_mean)