登录
首页 » matlab » yuyinjipin

yuyinjipin

于 2014-02-21 发布 文件大小:1KB
0 207
下载积分: 1 下载次数: 6

代码说明:

  加入3点或5点中值平滑处理后再绘制上述基频曲线与未平滑曲线比较,观测完整一段话音的基频包络变化情况(Add to 3:00 or 5:00 in the value of the smoothing then draw the base frequency curve is not a smooth curve compared with the observed period of complete voice baseband envelope changes)

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

  • table_dtc_ideal_pi_7p5kw
    利用matlab进行电机的直接转矩控制仿真,十分详细(dtc matlab simulink)
    2010-10-10 13:18:07下载
    积分:1
  • kaam_ki_cheez
    The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files. - space_time_coding.m (perform space time coding) - subspace_channel_estimation_STBC.m (channel estimation) - one_shot.m (show an example) To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window. Reference: [1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202 - 217(The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files. - space_time_coding.m (perform space time coding) - subspace_channel_estimation_STBC.m (channel estimation) - one_shot.m (show an example) To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window. Reference: [1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202- 217)
    2009-12-05 17:14:58下载
    积分:1
  • zuoye2
    一般最小二乘、递推最小二乘、增广最小二乘用于有色噪声干扰的系统辨识,及辨识结果对比。(General least squares, recursive least squares, extended least squares for the colored noise system identification, and the comparison of recognition results.)
    2012-05-09 21:04:55下载
    积分:1
  • scme20060830
    在未来B3G/4G系统中所采用的SCME信道模型是SCM信道模型的扩展。扩展保持简便性和向后兼容性(In the future B3G/4 g system adopted by the SCME channel model is an extension of the SCM channel model. Extension keep ease and backward compatibility)
    2014-02-25 16:24:38下载
    积分:1
  • DataCameraCal_random
    generation of random data for camera calibration
    2010-12-02 06:33:40下载
    积分:1
  • QPSK_sfun
    QPSK Modulation and Demodulation with AWGN , Performance comparision against on BER / EB/NO ratio.
    2012-05-03 18:23:39下载
    积分:1
  • 10[1].1.1.106.2867
    使用matlab开发软件,通过采用拉普拉斯核分类器,实现道路标志分类。(Using matlab software development, through the use of Laplace nuclear classifier, to achieve classification of road signs.)
    2010-08-03 11:37:30下载
    积分:1
  • tongbufadianji
    同步发电机 两相对地短路仿真(有阻尼情况)(Synchronous generator two relatively short-circuited (damping))
    2013-05-07 20:41:42下载
    积分:1
  • DE
    差分演化模板程序,matlab函数优化。(Differential evolution template program, matlab function optimization.)
    2013-12-12 09:44:03下载
    积分:1
  • chengxu
    小波变换进行变速箱故障诊断 首先将s1和s2信号时域谱(s1代表维修前的振动信号,s2代表维修后的振动信号),画出来进行对比,会发现s1信号的振动幅值会比较高;然后对s1和s2分别进行小波分解并画出各层的时域谱,只对比s1和s2分后的最高时域谱,s2更加的具有周期性,且幅值较小,s2周期性不够明显,且振动过于密集。分析完时域谱后开始分析频谱,首先对原信号s1和s2fft转换,得到频谱图,如图,然后再对小波分析后高频部分进行fft转换,做出频谱图。对比后我们发现,在f 2375HZ出(也就是齿轮的啮合频率),s1信号频谱幅值会有急剧的升高,然后,其谐波的幅值也会增大。所以可以推断出该维修前的增速箱的齿轮可能出现问题。(Gearbox fault diagnosis based on wavelet transform s1 and s2 first time domain signal spectrum (s1 behalf of the vibration signal before maintenance, vibration signal s2 representative of repaired), drawn comparison, you will find a signal s1 vibration amplitude will be higher then s1 and s2 respectively wavelet decomposition and draw the layers of time-domain spectrum to only a maximum time domain spectroscopy s1 and s2 points after, s2 is more cyclical and smaller magnitude, s2 cyclical enough obviously, and the vibration is too dense. End domain spectral analysis after the beginning of the spectrum analysis, the first of the original signal s1 and s2fft conversion to give the spectrum, as shown, and then after the high frequency part of wavelet analysis fft transformation to make spectrum. We found that after the comparison, at f 2375HZ out (i.e. the gear mesh frequency), there will be a sharp increase in the amplitude spectrum of the signal s1, and then, the amplitude of the ha)
    2017-01-17 19:18:02下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载