eprintid: 3335
rev_number: 7
eprint_status: archive
userid: 17
dir: disk0/00/00/33/35
datestamp: 2018-12-18 02:56:40
lastmod: 2018-12-18 02:56:40
status_changed: 2018-12-18 02:56:40
type: conference_item
succeeds: 1435
metadata_visibility: show
creators_name: Nguyen, Linh Trung
creators_name: Nguyen, Viet Dung
creators_name: Abed-Meraim, Karim
creators_name: Weber, Rodolphe
creators_id: linhtrung@vnu.edu.vn
creators_id: nvdung@vnu.edu.vn
creators_id: karim.abed-meraim@univ-orleans.fr
creators_id: rodolphe.weber@univ-orleans.fr
title: Generalized MNS Method for Parallel Minor and Principal Subspace Analysis
ispublished: pub
subjects: ECE
divisions: fac_fet
abstract: This paper introduces a generalized minimum noise subspace method for the fast estimation of the minor or principal subspaces for large dimensional multi-sensor systems. In particular, the proposed method allows parallel computation of the desired subspace when K > 1 computational units (DSPs) are available in a parallel architecture. The overall numerical cost is approximately reduced by a factor of K2 while preserving the estimation accuracy close to optimality. Different algorithm implementations are considered and their performance is assessed through numerical simulation.
date: 2014-09-11
date_type: published
contact_email: linhtrung@vnu.edu.vn
full_text_status: none
pres_type: paper
event_title: 22th European Signal Processing Conference (EUSIPCO)
event_location: Lisbon, Portugal
event_dates: 1-5 September 2014
event_type: conference
refereed: TRUE
citation:   Nguyen, Linh Trung and Nguyen, Viet Dung and Abed-Meraim, Karim and Weber, Rodolphe  (2014) Generalized MNS Method for Parallel Minor and Principal Subspace Analysis.  In: 22th European Signal Processing Conference (EUSIPCO), 1-5 September 2014, Lisbon, Portugal.