Conference
Low Cost Subspace Tracking Algorithms for Sparse Systems
| العنوان: | Low Cost Subspace Tracking Algorithms for Sparse Systems |
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| المؤلفون: | Lassami, Nacerredine, Abed-Meraim, Karim, Aissa El Bey, Abdeldjalil |
| المساهمون: | Lab-STICC_IMTA_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT), Département Signal et Communications (IMT Atlantique - SC), IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT), Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique 2008-2013 (PRISME), Université d'Orléans (UO)-Ecole Nationale Supérieure d'Ingénieurs de Bourges (ENSI Bourges) |
| المصدر: | Proceedings EUSIPCO 2017 : 25th European Signal Processing Conference ; EUSIPCO 2017 : 25th European Signal Processing Conference ; https://hal.science/hal-01610176 ; EUSIPCO 2017 : 25th European Signal Processing Conference, Aug 2017, Kos Island, Greece. pp.1440 - 1444, ⟨10.23919/EUSIPCO.2017.8081439⟩ |
| بيانات النشر: | HAL CCSD |
| سنة النشر: | 2017 |
| المجموعة: | Université de Bretagne Occidentale: HAL |
| مصطلحات موضوعية: | Principal subspace tracking, Sparse sub- space, Adaptive estimation, Sparse source separation, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
| جغرافية الموضوع: | Kos Island, Greece |
| الوصف: | International audience ; In this paper, we focus on tracking the signal subspace under a sparsity constraint. More specifically, we propose a two-step approach to solve the considered problem whether the sparsity constraint is on the system weight matrix or on the source signals. The first step uses the OPAST algorithm for an adaptive extraction of an orthonormal basis of the principal subspace, then an estimation of the desired weight matrix is done in the second step, taking into account the sparsity constraint. The resulting algorithms: SS-OPAST and DS-OPAST have low computational complexity (suitable in the adaptive context) and they achieve both good convergence and estimation performance as illustrated by our simulation experiments for different application scenarios. |
| نوع الوثيقة: | conference object |
| اللغة: | English |
| Relation: | hal-01610176; https://hal.science/hal-01610176; https://hal.science/hal-01610176/document; https://hal.science/hal-01610176/file/Low%20Cost%20Subspace%20Tracking%20Algorithms%20for%20Sparse%20Systems.pdf |
| DOI: | 10.23919/EUSIPCO.2017.8081439 |
| الاتاحة: | https://hal.science/hal-01610176 https://hal.science/hal-01610176/document https://hal.science/hal-01610176/file/Low%20Cost%20Subspace%20Tracking%20Algorithms%20for%20Sparse%20Systems.pdf https://doi.org/10.23919/EUSIPCO.2017.8081439 |
| Rights: | info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.7D20F789 |
| قاعدة البيانات: | BASE |
| DOI: | 10.23919/EUSIPCO.2017.8081439 |
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