relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/78/
title: An Image Processing Approach for Underdetermined Blind Separation of Nonstationary Sources
creator: Abed-Meraim, Karim
creator: Nguyen, Linh Trung
creator: Sucic, V.
creator: Tupin, F.
creator: Boashash, B.
subject: Electronics and Communications
subject: Electronics and Computer Engineering
description: This paper presents a new approach for blind separation of nonstationary frequency-modulated (FM) sources in the underdetermined case (i.e., more sources than sensors) using their time-frequency distributions (TFDs). The underlying idea of the proposed blind source separation (BSS) method is based on the observation that a monocomponent FM signal is represented by a linear feature corresponding to the 'energy concentration points' in the time-frequency (TF) image. Therefore, we propose to adapt an existing 'road network extraction' method Tupin et al., (1998) for the detection and separation of the source signal components from the spatially averaged TF image of their mixtures. The sources spatial signatures are then used to group together (classify) the components of the same source (or equivalently, the same spatial direction). Simulation examples are provided to assess the performance of the proposed algorithm in various scenarios.
date: 2003
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/78/1/C.06.pdf
identifier:   Abed-Meraim, Karim and Nguyen, Linh Trung and Sucic, V. and Tupin, F. and Boashash, B.  (2003) An Image Processing Approach for Underdetermined Blind Separation of Nonstationary Sources.  In: The 3rd International Symposium on Image and Signal Processing and Analysis (ISPA), September 2003, Rome, Italy.