登录
首页 » matlab » PowerguiandMultimeter

PowerguiandMultimeter

于 2010-12-15 发布 文件大小:153KB
0 208
下载积分: 1 下载次数: 17

代码说明:

  这是一个matlab的ppt,对于实现整流逆变应该有用,还有仿真效果图(failed to translate)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • maan
    用平行截面法讨论由曲面z=x^2-y^2构成的马鞍面形状.m(code)
    2009-10-22 10:17:05下载
    积分:1
  • qpsk+matlab
    用matlab语言实现QPSK调制信号产生(using Matlab language QPSK modulation signal generator)
    2006-06-20 16:44:59下载
    积分:1
  • BLDC
    直流無刷馬達分析模擬,包含力矩以及轉速控制(BLDC MOTOR SIMULATION)
    2012-05-03 01:44:19下载
    积分:1
  • ADBF
    使用传统的几种算法来形成自适应波束,包括最大信噪比准则(MSNR),线性约束最小方差(LCMV)和最小均方误差准则(MMSE)等。(The traditional algorithms are used to form adaptive beams, including maximum signal-to-noise ratio (MSNR), linear constrained minimum variance (LCMV), and minimum mean square error criterion (MMSE).)
    2021-01-25 21:48:43下载
    积分:1
  • MexHello
    本程序实现了最基本的一个MATLAB7.0和vc++6.0混合编程的一般步骤和具体的操作代码。对于用MATLAB和VC混合编程的新手来说是个上手的好东西啊!(This program implements a basic MATLAB7.0 and vc++6.0 mixed programming in general and specific operational procedures code. For the mixed programming with MATLAB and VC is a novice to get started is a good thing ah!)
    2010-12-28 10:57:49下载
    积分:1
  • model4
    matlab simulink model for simulation
    2011-01-25 06:29:12下载
    积分:1
  • min_pv
    太阳能电池PV特性 基于matlab/simulink仿真(Solar PV matlab)
    2013-09-03 20:05:21下载
    积分:1
  • PBBImm
    PATCH BASED BACKGROUND INITIALISATION
    2013-01-01 17:18:20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
  • PSO_proj
    Particle swarm optimization ...
    2012-08-26 02:19:04下载
    积分:1
  • 696518资源总数
  • 106245会员总数
  • 18今日下载