登录
首页 » matlab » xiaoshiju

xiaoshiju

于 2010-11-06 发布 文件大小:1KB
0 226
下载积分: 1 下载次数: 5

代码说明:

  我们可以对一个信号,采用不同的消失矩的小波函数来分解,就可以更加感性的了解它..(We can be a signal to a different vanishing moments of wavelet function to decompose, can be more emotional about it ..)

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

  • DFIG仿真
    说明:  双馈风力发电机的转速环控制,是运用的矢量控制,里面包括坐标变换模块,可以出图(The speed loop control of the doubly fed wind turbine is a vector control, which includes the coordinate transformation module and can be plotted)
    2020-05-28 15:24:46下载
    积分:1
  • MATLAB
    用MATLAB绘制低阶的平板波导的色散曲线图(MATLAB drawn by low-level slab waveguide dispersion curves)
    2009-04-02 13:35:11下载
    积分:1
  • 平滑处理
    matlab光谱预处理之光谱平滑,包括移动平滑及SG平滑(Spectral smoothing of MATLAB spectral pretreatment, including moving smoothing and SG smoothing)
    2021-03-03 09:29:34下载
    积分:1
  • viterbi-3.0.1
    说明:  从国外ECC网站上找到的,可以作为初始学习的参考程序。(from abroad ECC found on the site, as the initial study of the reference program.)
    2006-05-13 22:58:02下载
    积分:1
  • DTC4
    四相SRM的直接转矩控制的simulink仿真模型,用于减小转矩脉动(DTC for four-phase SRM)
    2018-08-03 00:30:27下载
    积分:1
  • BNT_SLP.tar
    说明:  用来学习贝叶斯网络,包含结构学习和参数学习(For learning Bayesian networks, including structure learning and parameter learning)
    2019-12-29 20:16:32下载
    积分:1
  • Filter_LMS_mu
    研究用于自适应均衡器的LMS算法。研究步长的影响。分别画出W=2.9时,mu= 0.01、0.04和0.08情况下的MSE学习曲线(Research for the adaptive LMS algorithm equalizer. Research on the impact of the step. Draw W = 2.9, respectively, when, mu = MSE learning curve 0.01,0.04 and 0.08 in case of)
    2014-01-29 12:13:40下载
    积分:1
  • quadcopter
    关于四旋翼串级PID控制算法的MATLAB仿真。使用SIMULINK模块搭建。(The MATLAB simulation of the four rotor cascade PID control algorithm is presented. Using the SIMULINK module to build)
    2018-05-25 10:23:51下载
    积分:1
  • leach_mod1
    leach协议在matlab改进。对于初学者matlab了解leach协议有很好的帮助。(leach xie yi in the MATLAB)
    2010-05-10 11:15:04下载
    积分:1
  • fig7_34
    We see that HTH matrix is almost diagonal as the off diagonal elements are nearly zero. So we are getting exact estimation in case of PRN INPUT due to diagonality of HTH matrix. As seen that the unknown inpulse response ( h ) and estimated impulse response ( hth ) are coming out to be exactly same. The estimation even gets better for large N .as we get the HTH matrix perfect diagonal. So we come to know that we can estimate the unknown parameters exactly when PRN input is used.
    2013-05-02 02:56:07下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载