Loading...
Loading...

Go to the content (press return)

Distributed Total Least Squares estimation over networks

Author
López, R.; Silva, S.; Pagès-Zamora, A.
Type of activity
Presentation of work at congresses
Name of edition
2014 IEEE International Conference on Acoustics, Speech, and Signal Processing
Date of publication
2014
Presentation's date
2014-05
Book of congress proceedings
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014): Florence, Italy, 4-9 May 2014
First page
7580
Last page
7584
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/ICASSP.2014.6855074 Open in new window
Repository
http://hdl.handle.net/2117/24657 Open in new window
URL
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6855074 Open in new window
Abstract
We consider Total Least Squares (TLS) estimation in a network in which each node has access to a subset of equations of an overdetermined linear system. Previous distributed approaches require that the number of equations at each node be larger than the dimension L of the unknown parameter. We present novel distributed TLS estimators which can handle as few as a single equation per node. In the first scheme, the network computes an extended correlation matrix via standard iterative average conse...
Citation
López, R.; Silva-Pereira, S.; Pages, A. Distributed Total Least Squares estimation over networks. A: IEEE International Conference on Acoustics, Speech, and Signal Processing. "2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014): Florence, Italy, 4-9 May 2014". Florència: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 7580-7584.
Keywords
Distributed estimation, Total Least Squares, Wireless sensor networks
Group of research
SPCOM - Signal Processing and Communications Group

Participants

  • López Valcarce, Roberto  (author and speaker )
  • Silva Pereira, Silvana  (author and speaker )
  • Pages Zamora, Alba Maria  (author and speaker )