Analysis of noise reduction in redundant expansions under distributed processing requirements (bibtex)
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Abstract:
We considered signal reconstruction with redundant expansions under distributed processing in noisy environments. Redundant expansions have the ability to reduce noise corrupting the coefficients, but distributed processing schemes will not be able to take full advantage of the redundancy present. We apply frame theory and a generalization called ``frames of subspaces'' to find conditions when distributed reconstruction suffers no loss in noise reduction ability, and we bound performance loss in more general cases.
Reference:
Analysis of noise reduction in redundant expansions under distributed processing requirementsC.J. Rozell and D.H. Johnson. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 185–188, March 2005.
Bibtex Entry:
@INPROCEEDINGS{rozell.04d,
  author = {Rozell, C.J. and Johnson, D.H.},
  title = {Analysis of noise reduction in redundant expansions under distributed processing requirements},
  booktitle = {{Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP)}},
  year = {2005},
  address = {Philadelphia, PA},
  month = {March},
  pages = {185--188},
  abstract = {We considered signal reconstruction with
	 redundant expansions under distributed processing in noisy environments.
	 Redundant expansions have the ability to reduce noise corrupting the
	 coefficients, but distributed processing schemes will not be able
	 to take full advantage of the redundancy present. We apply frame
	 theory and a generalization called ``frames of subspaces'' to find
	 conditions when distributed reconstruction suffers no loss in noise
	 reduction ability, and we bound performance loss in more general cases.},
  url = {http://siplab.gatech.edu/pubs/rozellICASSP2005.pdf},
}
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