Hot Search : Source embeded web remote control p2p game More...
Location : Home Downloads Documents Industry research

mypaper4

  • Category : Industry research
  • Tags :
  • Update : 2012-11-26
  • Size : 106kb
  • Downloaded :0次
  • Author :qus****
  • About : Nobody
  • PS : If download it fails, try it again. Download again for free!
Download1 Download2
Don't use download software fo downloading.
If download fail,Try it again for free.
Introduction - If you have any usage issues, please Google them yourself
To fully utilize the character of the bioradar echo signal, autocorrelation analysis, spectral estimation methods and time-frequency analysis are presented in this paper. These methods are employed to deal with no one, single people and multi-people echo signal. Singular value decomposition (SVD) is used to extract feature vector for pattern identification. Single people and multi-people can be identified from the echo signal by the bioradar. Experimental results show that spectral estimation methods can improve the signal-noise ratio, and efficiently detect the signal’s frequency components. The method SVD based on Spectrum is stable and efficient to identify target information by bioradar.
Packet file list
(Preview for download)
mypaper4.doc
Related instructions
  • 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.

Post Comment
*Quick comment Recommend Not bad Password Unclear description Not source
Lost files Unable to decompress Bad
*Content :
*Captcha :
CodeBus is one of the largest source code repositories on the Internet!
Contact us :
1999-2046 CodeBus All Rights Reserved.