TY  - CONF
ID  - SisLab78
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/78/
A1  - Abed-Meraim, Karim
A1  - Nguyen, Linh Trung
A1  - Sucic, V.
A1  - Tupin, F.
A1  - Boashash, B.
Y1  - 2003///
N2  - 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.
VL  - 1
TI  - An Image Processing Approach for Underdetermined Blind Separation of Nonstationary Sources
SP  - 347
M2  - Rome, Italy
AV  - public
EP  - 352
T2  - The 3rd International Symposium on Image and Signal Processing and Analysis (ISPA)
ER  -