double

说明：  蚂蚁算法 1(Ant Algorithm 1)

ldpc在系统矩阵twoto下的系统仿真，在参数双可变情况下对系统输出的影响，matlab7.0编译通过()

书 名：MATLAB 基础及其应用教程 著作责任者：周开利邓春晖 主编 策 划 编 辑：徐凡 责 任 编 辑：孙哲伟 标 准 书 号：ISBN 978-7-301-11442-1/TP·0892 出版 者：北京大学出版社 地 

    (Title: MATLAB and its application tutorial book those responsible for: Planning Zhou Kaili SECOND NORTHWEST editor Editor: Xu Fan Editor: Sun Zhewei ISBN: ISBN 978-7-301-11442-1/TP · 0892 Publisher: Peking University Press to)

利用最小均方误差算法进行系统参数的辨识,其中步长确定(This program is an LMS algorithm used for system identification. The step of the algorithm is a constant. )

基于MATLAB研究二维Gaussian低通滤波器的时频特性及其用于模仿点扩散函数（PSF:point spread function）在图像退化建模中的应用(When the frequency characteristics of the two-dimensional Gaussian MATLAB study based on its low-pass filter is used to mimic the point spread function (PSF: point spread function) in image degradation modeling)

UDF添加动量源项 fluent仿真分析虚拟螺旋桨(UDF momentum)

本程序包括直接序列扩频，跳频扩频和跳频多址的相关程序(This procedure, including direct sequence spread spectrum, frequency-hopping spread-spectrum and frequency hopping multiple access procedures)

msk的malab仿真，其中详细绘制了msk调制解调的信号图形(msk malab the simulation, which detailed mapping msk the modulation and demodulation of signals Graphics)

微带多模谐振器的谐振频率的提取程序，就是在已知线宽，线长和介质基底的情况下如何计算得到其多个谐振频率。学习多模谐振器数值分析的同学可以参考一下。(Multi-mode microstrip resonator resonance frequency extraction procedure is known in the case of the line width, line length and the dielectric substrate to which a plurality of resonance frequencies calculated. Learning multimode resonator numerical analysis of the students can refer to.)

这是用身高体重数据进行性别分类的实验。 用最小错误率贝叶斯分类器决策时，首先通过比较概率大小判断一个体重身高二维向量代表的人是男是女，然后再逐一与已知性别的数据比较，就可以得到错误率的统计。然后改变先验概率，重复上面的过程，观察数据结果的变化。 用最小风险贝叶斯分类器决策时，首先求出用最小错误率贝叶斯分类器得到的条件概率；然后根据人为给定的决策表，根据公式算出条件风险；然后逐一比较条件风险，找出使条件风险最小的决策（也就是分类）。最后用分类得到的结果逐一比较已经知道的原始数据，统计处错误率。 (This is the height and weight data for gender classification experiment. With the minimum error rate Bayesian classifier decisions , first by comparing the probability of the size and weight to height to determine a person represented by two-dimensional vector is male or female , and then one by one with known gender data comparison, the statistical error rate can be . Then change the prior probability , repeat the above process , the results of the changes observed data . Bayesian classifier with the minimum risk decision-making , first find the minimum error rate using Bayesian classifier to get the conditional probability then artificially given decision table , according to the formula to calculate conditional risk and then one by one more conditional risk , to find ambassador to the conditions of minimum risk decision making (ie classification) . Finally, the results obtained with the classification by-side comparison of the raw data have been aware of SD error rate . )