-
emhancement
基于Matlab的指纹识别,里面主要运用Jabot进行指纹提取(Matlab-based fingerprint identification, which mainly make use of Jabot fingerprint extraction)
- 2010-03-14 23:30:59下载
- 积分:1
-
matlab1engine1
MATLAB_Engine andC hybrid programming(MATLAB_Engine andC hybrid programming exeample)
- 2012-08-23 11:19:07下载
- 积分:1
-
RBF
用RBF网络,回归一个函数,从训练网络到对网络进行仿真,并给出网络的误差(With RBF network, a return to a function, from training of network to network simulation, and gives the network error)
- 2011-12-27 22:05:06下载
- 积分:1
-
question4
按UTM投影(或高斯投影)方式,将星下点轨迹图投影到地图坐标上 (By UTM projection (or Gaussian projection) mode, the ground track diagram projected onto the map coordinates)
- 2013-11-24 11:17:47下载
- 积分:1
-
matlab_antenna
This matlab code about how to design antenna in MIMO
- 2013-12-12 18:06:49下载
- 积分:1
-
ConvolutionalEncodingandViterbiDecoding.m
转载:卷积编码+维特比译码的matlab程序(Reprinted: convolutional code+ matlab Viterbi decoding process)
- 2010-07-05 16:40:46下载
- 积分:1
-
DE
说明: matlab开发环境下的与电力系统有关的DE算法程序(DE algorithm program and related power system development environment matlab)
- 2015-04-10 15:18:51下载
- 积分:1
-
Artificial-Intelligence-pneumonia
利用朴实贝叶斯方法求解有关肺炎的问题。肺炎对应有四个特征:发烧、疼痛、咳嗽和血细胞异常,当确定了患肺炎与否时,四个特征条件独立。假设患肺炎与否和四个特征都可表示为Ture和False。
根据pneumonia.tex文件中的数据(500行,每行前4个数对应4个特征变量,第5个数对应患肺炎是否为真,以0表示False,1表示Ture),编写Matlab 程序 maininference.m,从example.txt中读取病人的症状信息(0表示False,1表示True,-1表示not given),并计算对应的患肺炎的可能性。所给的信息按发烧、疼痛、咳嗽、血细胞异常的顺序排列。将计算结果保存在answer.txt中。(Simple Bayesian method to solve the question of pneumonia. Pneumonia corresponding four characteristics: fever, pain, cough and blood cell abnormalities, determine the risk of pneumonia or not, the four characteristics of conditional independence. Assumptions suffering from pneumonia or not and four features can be represented as Ture and False. According to the data pneumonia.tex file (500 lines, each line of the first four numbers corresponding to the four characteristic variables, number 5 corresponds to the risk of pneumonia is true, 0 represents False, said Ture), to write Matlab program maininference. m from example.txt read the information of the patient' s symptoms (0 = False, said True, the-1 indicates not given), and to calculate corresponding to the likelihood of suffering from pneumonia. The information given by the order of fever, pain, cough, blood cell abnormalities. The calculated results is be saved in answer.txt.)
- 2013-01-04 23:27:12下载
- 积分:1
-
contaminados
Code to work with audio signals contaminate with white noise
- 2014-10-31 05:51:54下载
- 积分:1
-
605664225Barker_ambig
信号的模糊函数,主要仿真巴克码的模糊函数(The fuzzy function of the signal, the main simulation Barker code ambiguity function)
- 2021-04-15 10:08:55下载
- 积分:1