登录
首页 » matlab » man_made_seismic

man_made_seismic

于 2021-03-16 发布 文件大小:4KB
0 250
下载积分: 1 下载次数: 65

代码说明:

  人工地震波生成程序 可根据输入的设计谱,来生成人工地震波,为matlab程序,应用方便(Artificial seismic waves generated program according to the design of the input spectrum afterlife waves adult site, matlab program, easy application)

文件列表:

说明.txt,729,2011-12-23

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

  • detenciontemprana
    algoritmo de detencion temprana
    2011-07-21 23:45:35下载
    积分:1
  • kzs
    using fft function and other function that woring with signals, and picture in matlab
    2009-11-01 23:21:20下载
    积分:1
  • PolarCodeEncoderandDecoder
    polar code 编译码 与RM码的比较 (polar code rm code)
    2010-12-14 21:25:51下载
    积分:1
  • find-peaks
    emprical mode decomposition( emd, find peaks)
    2015-02-03 00:30:14下载
    积分:1
  • ranqilunji
    燃气轮机matlab模型,相信会对研究微网的同学有帮助。(matlab generator)
    2021-04-17 12:18:52下载
    积分:1
  • siso20M
    A SISO 20M OFDM system based on IEEE802.11n standard, using Matlab.
    2008-01-19 20:35:59下载
    积分:1
  • GWR_r
    统计分析R语言的GWR代码,具体参考R语言“SPGWR”程序包,R语言3.1.2以上版本才有此包。(Statistical analysis R code for GWR)
    2020-12-26 13:39:03下载
    积分:1
  • Desktop
    基于matlab软件实现等距离离散化为粗糙集约简前准备(matlab Equidistance discretization)
    2013-12-24 17:30:20下载
    积分:1
  • adboost-demo
    adboost算法的一个例子。在Kearns和Valiant在1989年大作中指出了这种算法的可行性。而后,Freund在 1990年以及他和Schapire在 1994-1996年提出了boosting整个算法思路,似乎这种算法走到 了实际应用的开端。然而直到AdaBoost被viola在其人脸识别系统中运用(2001Viola和 Jones),这种方法才彻底开始暴火.(An example adboost algorithm. Kearns and Valiant pointed at the feasibility of this method in 1989 masterpiece. Then, Freund and Schapire he made in 1990 and in 1994-1996 the idea of ​ ​ boosting the entire algorithm, this algorithm seems to come to the beginning of the practical application. However, until the use of AdaBoost is viola (2001Viola and Jones) in its face recognition systems, this approach was completely start a fire storm.)
    2013-12-28 22:44:27下载
    积分:1
  • VistaRestoreTools1.0
    denoise In BayesShrink[5] we determine the threshold for each subband assuming a Generalized Gaussian Distribution(GGD) . The GGD is given by GG¾ X ¯ (x) = C(¾ X ¯ )exp¡ [® (¾ X ¯ )jxj]¯ (6) ¡ 1 < x < 1 ¯ > 0, where ® (¾ X ¯ ) = ¾ ¡ 1 X [ ¡ (3=¯ ) ¡ (1=¯ ) ]1=2 and C(¾ X ¯ ) = ¯ ¢ ® (¾ X ¯ ) 2¡ ( 1 ¯ ) and ¡ (t) = R1 0 e¡ uut¡ 1du. The parameter ¾ X is the standard deviation and ¯ is the shape parameter It has been observed[5] that with a shape parameter ¯ ranging from 0.5 to 1, we can describe the the distribution of coefficients in a subband for a large set of natural images.Assuming such a distribution for the wavelet coefficients, we empirically estimate ¯ and ¾ X for each subband and try to find the threshold T which minimizes the Bayesian Risk, i.e, the expected value of the mean square error.
    2012-06-08 01:38:48下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载