he sifting process is completed using a time varying filter technique.The local cut-off frequency is adaptively designed by fully facilitating the instantaneous amplitude and frequency information. Then nonuniform B-spline approximation is adopted as a time varying filter. In order to solve the intermittence problem, a cut-off frequency realignment algorithm is also introduced. Aimed at improving the performance under low sampling rates, a bandwidth criterion for intrinsic mode function (IMF) is proposed. TVF-EMD is fully adaptive and suitable for the analysis of linear and non-stationary signals. Compared with EMD, the proposed method is able to improve the frequency separation performance, as well as the stability under low sampling rates. Besides, the proposed method is robust against noise interference.

Filename	Size	Update
baseflow\08095300.prn	223106	2005-10-14
baseflow\baseflow.dat	328	2006-06-12
baseflow\baseflow.doc	4013056	2002-04-25
baseflow\baseflow_inst.doc	57856	2002-09-06
baseflow\bflow.exe	421941	2006-06-12
baseflow\file.lst	263	2006-06-12
baseflow\source	0	2006-06-14
baseflow\source\baseflow.f	20746	2006-06-12
baseflow\source\caps.f	1577	2002-09-05

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．