Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Andrianiaina Ravelomanantsoa"'
Publikováno v:
Circuits, Systems, and Signal Processing
Circuits, Systems, and Signal Processing, Springer Verlag, 2016, 35 (1), pp.1-18. ⟨10.1007/s00034-016-0444-y⟩
Circuits, Systems, and Signal Processing, Springer Verlag, 2016, 35 (1), pp.1-18. ⟨10.1007/s00034-016-0444-y⟩
Among the existing applications of wireless body sensor networks (WBSNs), a wearable health monitoring system (WHMS) is the most important. In a typical WHMS, miniature wireless biosensors, attached to or implanted in the human body, collect bio-sign
Publikováno v:
DASIP 2015 Conference on Design and Architectures for Signal and Image Processing
DASIP 2015 Conference on Design and Architectures for Signal and Image Processing, Sep 2015, Cracovie, Poland. pp.136-141, ⟨10.1109/DASIP.2015.7367263⟩
DASIP
DASIP 2015 Conference on Design and Architectures for Signal and Image Processing, Sep 2015, Cracovie, Poland. pp.136-141, ⟨10.1109/DASIP.2015.7367263⟩
DASIP
Compressed sensing is a technique that is suitable for compressing and recovering signals having sparse representations in certain bases. Compressed sensing has been widely used to optimize the measurement process of power and bandwidth constrained s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::120203816e4955497bd7c8bf702f684e
https://hal.univ-lorraine.fr/hal-01397922
https://hal.univ-lorraine.fr/hal-01397922
Publikováno v:
IEEE Transactions on Instrumentation and Measurement
IEEE Transactions on Instrumentation and Measurement, Institute of Electrical and Electronics Engineers, 2015, 64 (12), pp.3405-3413. ⟨10.1109/TIM.2015.2459471⟩
IEEE Transactions on Instrumentation and Measurement, Institute of Electrical and Electronics Engineers, 2015, 64 (12), pp.3405-3413. ⟨10.1109/TIM.2015.2459471⟩
Compressed sensing (CS) is a technique that is suitable for compressing and recovering signals having sparse representations in certain bases. CS has been widely used to optimize the measurement process of bandwidth and power constrained systems like
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35bd88fcdd02ce9f9892651569d4693d
https://hal.univ-lorraine.fr/hal-01397352
https://hal.univ-lorraine.fr/hal-01397352
Publikováno v:
IEEE Transactions on Instrumentation and Measurement
IEEE Transactions on Instrumentation and Measurement, Institute of Electrical and Electronics Engineers, 2014, 63 (12), pp.2973-2982. ⟨10.1109/TIM.2014.2320393⟩
IEEE Transactions on Instrumentation and Measurement, Institute of Electrical and Electronics Engineers, 2014, 63 (12), pp.2973-2982. ⟨10.1109/TIM.2014.2320393⟩
International audience; Compressed sensing (CS) is an emerging signal processing technique that enables sub-Nyquist measurement of signals having sparse representations in certain bases. Since most physiological signals treated within a wireless body
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::728831eac53b0d781dd6ee1b79d7d55b
https://hal.archives-ouvertes.fr/hal-01293461
https://hal.archives-ouvertes.fr/hal-01293461
Publikováno v:
ICM
In a wireless body sensor network (WBSN), the available energy and bandwidth are limited. Therefore, compressing the electromyogram (EMG) signal is of great importance since it is generally sensed at a relatively high frequency of the order of kHz. I
Publikováno v:
ICM 2013 25th International Conference on Microelectronics
ICM 2013 25th International Conference on Microelectronics, Dec 2013, Beirut, Lebanon. pp.129-132, ⟨10.1109/ICM.2013.6734992⟩
ICM 2013 25th International Conference on Microelectronics, Dec 2013, Beirut, Lebanon. pp.129-132, ⟨10.1109/ICM.2013.6734992⟩
Compressed sensing (CS) is applied in wireless body sensor network (WBSN) to reduce the data rate and minimize the power consumption of the sensor nodes. However, as the CS encoder and decoder are tightly coupled, a model of the overall acquisition c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::487e5f7bf9f473e2fa27b3ceaea2c7fd
https://hal.univ-lorraine.fr/hal-01397778
https://hal.univ-lorraine.fr/hal-01397778