登录
首页 » Unix_Linux » SEISMIC-UNIX-

SEISMIC-UNIX-

于 2020-12-03 发布 文件大小:3398KB
0 385
下载积分: 1 下载次数: 14

代码说明:

  Seismic Unix 地震数据处理操作系统指南(中文版)(introduction of the Seismic Unix seismic data processing system in Chinese.)

文件列表:

SEISMIC UNIX地震数据处理系统:SU3_3.pdf,3685045,2012-11-04

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

  • LorenzeSynchroPredict
    利用SIMULINK建立Lorenze系统的仿真模型,并实现同步预测(Simulink for lorenze system and synchro predict)
    2013-09-05 10:12:51下载
    积分:1
  • ofdmce
    加入了导频的matlab编程,有信道的衰减补偿(Joined the pilot of matlab programming, there is the channel attenuation compensation)
    2011-11-28 14:51:46下载
    积分:1
  • Attachments_2012_01_15_3
    matlab code for signal processing for plot signals
    2012-11-17 02:11:14下载
    积分:1
  • Digital-image-processing_advanced-course
    This is a pdf which tells about digital image processing
    2014-02-25 13:44:38下载
    积分:1
  • Lee
    Lee滤波器,Matlab实现,非常好用!(Lee Filters, Matlab implementation, very easy to use!)
    2010-06-06 11:55:37下载
    积分:1
  • beammatlab
    将梁分成9个单元,在中间受力,建立整体的刚度矩阵,建立整体模型。(The beam is divided into nine units, in the middle forces, the establishment of the overall stiffness matrix, the establishment of the overall model.)
    2009-02-14 10:27:40下载
    积分:1
  • CDMA
    MATLAB工具建立的DS-CDMA 扩频通信模型 (MATLAB tools to create a DS-CDMA spread spectrum communication model)
    2010-12-31 13:45:55下载
    积分:1
  • fortran
    卫星轨道预测模型SGP的matlab源代码,经过了验证,可行!(SGP satellite orbit prediction model of the matlab source code, after verification, viable!)
    2009-06-22 19:19:13下载
    积分:1
  • NRZ_2_Manchester_Moore
    this example exchanges the NRZ code to the MANCHESTER code with moore output
    2010-01-29 18:46:08下载
    积分:1
  • RVM_matlabToolBox
    相关向量机(RVM)的matlab源程序,包含快速算法,内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型,对未知函数进行预测或分类。 优点: (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)
    2013-11-21 11:05:48下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载