登录
首页 » matlab » chapter4_1

chapter4_1

于 2013-11-25 发布 文件大小:1KB
0 101
下载积分: 1 下载次数: 7

代码说明:

  模拟实验室中产生的清音和浊音,通过仿真产生清浊音的频谱图,非常有效的对比,可以看出它们之间的差异。(Voiceless and voiced simulation laboratory generated by simulation generated Voicing the spectrum, very effective contrast, you can see the difference between them. )

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

  • Byangtiaohermite
    这是B样条和hermite曲线用MATLAB实现的程序(This is the B-splines and hermite curves achieved using MATLAB program)
    2009-04-16 10:56:12下载
    积分:1
  • LBP
    LBP算法MATLAB实现,3个m文件。getmapping,LBP,lbptest。(LBP algorithm based on MATLAB implementation, 3 m documents. getmapping, LBP, lbptest.)
    2014-11-06 14:54:34下载
    积分:1
  • stud
    this is pdf it is very useful for study the matlab and functions
    2010-12-24 17:52:37下载
    积分:1
  • linetr-double-invented-pendument
    对直线二级摆系统利用滑膜变结构理论进行控制研究,在MATLAB环境下进行仿真试验,仿真曲线达到了理想效果。(right straight two pendulum system using synovial variable structure control theory, MATLAB environment for simulation, simulation curves achieved the desired effect.)
    2007-05-22 13:42:23下载
    积分:1
  • MI5MO3_0918
    BP神经网络模型的建立过程,并利用模型来验证模型的准确性。两部分输入输出数据(BP neural network modeling process and use the model to verify the accuracy of the model. The two input and output data)
    2013-11-21 19:47:15下载
    积分:1
  • solar_mppt_resistive_load
    matlab code for Solar MPPT With Resistive Load
    2015-02-07 13:35:48下载
    积分:1
  • dianyuanpipei
    电源-地同步噪声电磁仿真程序,用FDTD编写的,可以参考一下,终端匹配(applies finite difference time domain method to analyze transmission coefficient.)
    2009-11-16 21:41:58下载
    积分:1
  • deadband_pid.m
    带死区的PID算法,在MATLAB语言编写,仿真效果不错。(Dead-zone of the PID algorithm, the MATLAB language, simulation results are good.)
    2009-12-08 09:51:57下载
    积分:1
  • shanks
    function [a,b,err] = shanks(x,p,q) SHANKS Model a signal using Shanks method ---- Usage: [a,b,err] = shanks(x,p,q) The sequence x is modeled as the unit sample response of a filter having a system function of the form H(z) = B(z)/A(z) The polynomials B(z) and A(z) are formed from the vectors b=[b(0), b(1), ... b(q)] a=[1 , a(1), ... a(p)] The input q defines the number of zeros in the model and p defines the number of poles. The modeling error is returned in err.
    2012-04-18 09:58:03下载
    积分:1
  • robust-control
    鲁棒控制作业,包含详细的设计报告及matlab仿真代码(Robust control operations, including detailed design reports and matlab simulation code)
    2020-08-28 16:18:12下载
    积分:1
  • 696518资源总数
  • 104269会员总数
  • 42今日下载