文件名称:AutomaticSpectra

  • 所属分类:
  • matlab例程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 86kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • Morteza*******
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

介绍说明--下载内容均来自于网络,请自行研究使用

This toolbox is Automatic spectral analysis for Irregular sampling/Missing data, analysis of spectral subbands, Vector Autoregressive modeling and Detection. It requires ARMASA toolbox. This toolbox can be downloaded from the Matlab Central file exchange at www.mathworks.com.
相关搜索: Vector
Autoregressive

(系统自动生成,下载前可以参看下载内容)

下载文件列表

AutomaticSpectra

................\AutomaticSpectra

................\................\about.txt

................\................\armasa_rs

................\................\.........\armasel_rs.m

................\................\.........\Contents.m

................\................\.........\estimation

................\................\.........\..........\arh2ar.m

................\................\.........\..........\arh2arma.m

................\................\.........\..........\arh2ma.m

................\................\.........\..........\contents.m

................\................\.........\..........\estimator_tools

................\................\.........\..........\...............\cic_s.m

................\................\.........\..........\...............\durbin2.m

................\................\Detection

................\................\.........\Contents.m

................\................\.........\likelihoodR.m

................\................\.........\likelihoodR_mod.m

................\................\Examples

................\................\........\detection_demo.asv

................\................\........\detection_demo.m

................\................\........\KLI_demo.m

................\................\........\misdata_demo.m

................\................\........\redstat_demo.m

................\................\........\segments_demo.m

................\................\........\segments_unequal_demo.m

................\................\........\subband_demo.m

................\................\........\vectorsM_demo.asv

................\................\........\vectorsM_demo.m

................\................\........\vectors_demo.asv

................\................\........\vectors_demo.m

................\................\KullbackLeibler

................\................\...............\KLDiscrepancy.m

................\................\...............\KLIndex.m

................\................\...............\KLIndex_hat.m

................\................\SegmentsMissing

................\................\...............\ARhat_misd.m

................\................\...............\ARMLfit.m

................\................\...............\ARShat_misd.m

................\................\...............\burg_su.m

................\................\...............\Contents.m

................\................\...............\data_segments.m

................\................\...............\irr2grid.m

................\................\...............\missing2seg.m

................\................\...............\sig2ar_misd.m

................\................\TimserTools

................\................\...........\ar2arset_e.m

................\................\...........\arma2cor_e.m

................\................\...........\ar_ma2rc.m

................\................\...........\complex2real.m

................\................\...........\convolrev_e.m

................\................\...........\convol_e.m

................\................\...........\cor2ma.m

................\................\...........\example_process.m

................\................\...........\gendata.m

................\................\...........\iseven.m

................\................\...........\modeltype.m

................\................\...........\moderr_e.m

................\................\...........\pgain.m

................\................\...........\prederrAR.m

................\................\...........\psd2ar.m

................\................\...........\setfields.m

................\................\...........\sumARMA.m

................\................\Vectors

................\................\.......\armafilterv.m

................\................\.......\ARselv.m

................\................\.......\burgv.m

................\................\.......\Contents.m

................\................\.......\conversions

................\................\.......\...........\cov2pcv.m

................\................\.......\...........\dets.m

..............

相关说明

  • 本站资源为会员上传分享交流与学习,如有侵犯您的权益,请联系我们删除.
  • 本站是交换下载平台,提供交流渠道,下载内容来自于网络,除下载问题外,其它问题请自行百度更多...
  • 请直接用浏览器下载本站内容,不要使用迅雷之类的下载软件,用WinRAR最新版进行解压.
  • 如果您发现内容无法下载,请稍后再次尝试;或者到消费记录里找到下载记录反馈给我们.
  • 下载后发现下载的内容跟说明不相乎,请到消费记录里找到下载记录反馈给我们,经确认后退回积分.
  • 如下载前有疑问,可以通过点击"提供者"的名字,查看对方的联系方式,联系对方咨询.

相关评论

暂无评论内容.

发表评论

*主  题:
*内  容:
*验 证 码:

源码中国 www.ymcn.org