Dissertation/ Thesis
Compressed-domain signal processing and one-bit quantization : two tools for contexts undercommunication constraints ; Traitement du signal dans le domaine compressé et quantification sur un bit : deux outils pour les contextes sous contraintes de communication
| العنوان: | Compressed-domain signal processing and one-bit quantization : two tools for contexts undercommunication constraints ; Traitement du signal dans le domaine compressé et quantification sur un bit : deux outils pour les contextes sous contraintes de communication |
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| المؤلفون: | Zebadúa, Augusto |
| المساهمون: | GIPSA - Communication Information and Complex Systems (GIPSA-CICS), Département Images et Signal (GIPSA-DIS), Grenoble Images Parole Signal Automatique (GIPSA-lab), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )-Grenoble Images Parole Signal Automatique (GIPSA-lab), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ), Université Grenoble Alpes, Pierre-Olivier Amblard |
| المصدر: | https://theses.hal.science/tel-01761603 ; Traitement du signal et de l'image [eess.SP]. Université Grenoble Alpes, 2017. Français. ⟨NNT : 2017GREAT085⟩. |
| بيانات النشر: | CCSD |
| سنة النشر: | 2017 |
| المجموعة: | Université Grenoble Alpes: HAL |
| مصطلحات موضوعية: | Compressive sensing, Random Projections, One bit quantization, Estimation, Correlation, Spectral Analysis, Acquisition compresive, Projections Aléatoires, Quantification, Analyse Spectrale, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
| الوصف: | Monitoring physical phenomena by using a network of sensors (autonomous but interconnected) is highly constrained in energy consumption, mainly for data transmission. In this context, this thesis proposes signal processing tools to reduce communications without compromising computational accuracy in subsequent calculations. The complexity of these methods is reduced, so as to consume only little additional energy. Our two building blocks are compression during signal acquisition (Compressive Sensing) and CoarseQuantization (1 bit). We first study the Compressed Correlator, an estimator which allows for evaluating correlation functions, time-delay, and spectral densities directly from compressed signals. Its performance is compared with the usual correlator. As we show, if the signal of interest has limited frequency content, the proposed estimator significantly outperforms theconventional correlator. Then, inspired by the coarse quantization correlators from the 50s and 60s, two new correlators are studied: The 1-bit Compressed and the Hybrid Compressed, which can also outperform their uncompressed counterparts. Finally, we show the applicability of these methods in the context of interest through the exploitation of real data. ; La surveillance de phénomènes physiques à l’aide d’un réseau de capteurs (autonomes mais communicants) est fortement contrainte en consommation énergétique, principalement pour la transmission de données. Dans ce cadre, cette thèse propose des méthodes de traitement du signal permettant de réduire les communications sans compromettre la précision des calculs ultérieurs. La complexité de ces méthodes est réduite, de façon à ne consommer que peu d’énergie supplémentaire. Deux éléments servent à leur synthèse : la compression dès l’acquisition (Acquisition compressive) et la quantification grossière (sur 1 bit). D’abord, on étudie le corrélateur compressé, un estimateur qui permet d’évaluer les fonctions de corrélation, temps de retard et densités spectrales en exploitant directement des ... |
| نوع الوثيقة: | doctoral or postdoctoral thesis |
| اللغة: | French |
| Relation: | NNT: 2017GREAT085 |
| الاتاحة: | https://theses.hal.science/tel-01761603 https://theses.hal.science/tel-01761603v1/document https://theses.hal.science/tel-01761603v1/file/ZEBADUA_GARCIA_2017_diffusion.pdf |
| Rights: | info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.23316371 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |