登录
首页 » matlab » Fourier

Fourier

于 2010-05-06 发布 文件大小:103KB
0 322
下载积分: 1 下载次数: 1

代码说明:

  Fourier Transforms Using Matlab 英文,清晰pdf版(Fourier Transforms Using Matlab in English, a clear pdf version)

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

  • GF4_FFT
    用Matlab仿真四元LDPC码并得出误码率曲线图。(Simulation quad LDPC codes in Matlab and draw BER curve.)
    2014-11-25 13:16:19下载
    积分:1
  • yiqun_matlab
    MATLAB蚁群算法源程序,和大家一起分享!和大家一起多多交流学习!(MATLAB source code ant colony algorithm, and to share with everyone! Learn more exchanges with everyone!)
    2010-05-19 20:28:35下载
    积分:1
  • work
    HERMITE插值函数,试算,欢迎下载测试(HERMITE)
    2009-04-07 16:47:09下载
    积分:1
  • Desktop
    matlab doce in physics
    2011-06-23 15:39:51下载
    积分:1
  • power_svc_1tcr3tsc
    matlab中实用的静止无功补偿装置的仿真电路,主要用到了晶闸管控制电抗器和晶闸管投切电容器(in practical circuit simulation matlab static reactive power compensation device, mainly used in the thyristor controlled reactor and thyristor switched capacitor)
    2014-12-09 15:33:53下载
    积分:1
  • cf966
    Matlab Codes for calculating option prices
    2012-02-01 19:31:29下载
    积分:1
  • 1
    主成分分析的matlab源程序,用以标准化数据,精简指标,减少指标之间信息的重叠。(Principal component analysis matlab source for standardized data, streamline indicators, reduce duplication of information between indicators)
    2014-02-23 13:27:22下载
    积分:1
  • MUDconventional
    多用户检测器的matlab仿真模型,欢迎下载。(Multi-user detector matlab simulation models are welcome to download.)
    2008-01-01 13:29:56下载
    积分:1
  • GA-PCM
    说明:  这是一个改进了的模糊聚类算法程序,请放心下载,已调试过(This is an improved fuzzy clustering algorithm program, please rest assured that download has been debugged)
    2011-03-09 10:10:53下载
    积分:1
  • RIV
    适当选择辅助变量,使之满足相应条件,参数估计值就可以是无偏一致。估计辅助变量法的计算量与最小二乘法相当,但辨识效果却比最小二乘法好的多。尤其当噪声是有色的,而噪声的模型结构又不好确定时,增广最小二乘法和广义最小二乘法一般都不好直接应用,因为他们需要选用特定的模型结构,而辅助变量法不需要确定噪声的模型结构,因此辅助变量法就显得更为灵活,但辅助变量法不能同时获得噪声模型的参数估计。(Choose appropriate secondary variables, meet the relevant conditions and parameter estimate can be unbiased consistent. Estimated auxiliary variable method calculation and least square method is quite, but the identification effect is much better than the least square method. Especially when the noise is colored, and noise model structure and not sure, augmented the least squares and the generalized least squares method is generally not used directly, because they need to choose specific model structure, and auxiliary variable method does not need to make sure that noise model structure, so the auxiliary variable method is more agile, but not at the same time auxiliary variable method for noise model parameter estimation.)
    2012-12-28 16:06:51下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载