New Approach Based on Compressive Sampling for Sample Rate Enhancement in DASs for Low-Cost Sensing Nodes

The paper deals with the problem of improving the maximum sample rate of analog-to-digital converters (ADCs) included in low cost wireless sensing nodes. To this aim, the authors propose an efficient acquisition strategy based on the combined use of high-resolution time-basis and compressive sampli...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Francesco Bonavolontà [verfasserIn] Massimo D'Apuzzo [verfasserIn] Annalisa Liccardo [verfasserIn] Michele Vadursi [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2014

Schlagwörter:	compressive sampling high time resolution ADC sample rate random sampling

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 14(2014), 10, Seite 18915-18940
Übergeordnetes Werk:	volume:14 ; year:2014 ; number:10 ; pages:18915-18940

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s141018915

Katalog-ID:	DOAJ085015628

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allfields	10.3390/s141018915 doi (DE-627)DOAJ085015628 (DE-599)DOAJ792bf169fb9844609971b4a4b7f332e9 DE-627 ger DE-627 rakwb eng TP1-1185 Francesco Bonavolontà verfasserin aut New Approach Based on Compressive Sampling for Sample Rate Enhancement in DASs for Low-Cost Sensing Nodes 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The paper deals with the problem of improving the maximum sample rate of analog-to-digital converters (ADCs) included in low cost wireless sensing nodes. To this aim, the authors propose an efficient acquisition strategy based on the combined use of high-resolution time-basis and compressive sampling. In particular, the high-resolution time-basis is adopted to provide a proper sequence of random sampling instants, and a suitable software procedure, based on compressive sampling approach, is exploited to reconstruct the signal of interest from the acquired samples. Thanks to the proposed strategy, the effective sample rate of the reconstructed signal can be as high as the frequency of the considered time-basis, thus significantly improving the inherent ADC sample rate. Several tests are carried out in simulated and real conditions to assess the performance of the proposed acquisition strategy in terms of reconstruction error. In particular, the results obtained in experimental tests with ADC included in actual 8- and 32-bits microcontrollers highlight the possibility of achieving effective sample rate up to 50 times higher than that of the original ADC sample rate. compressive sampling high time resolution ADC sample rate random sampling Chemical technology Massimo D'Apuzzo verfasserin aut Annalisa Liccardo verfasserin aut Michele Vadursi verfasserin aut In Sensors MDPI AG, 2003 14(2014), 10, Seite 18915-18940 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:14 year:2014 number:10 pages:18915-18940 https://doi.org/10.3390/s141018915 kostenfrei https://doaj.org/article/792bf169fb9844609971b4a4b7f332e9 kostenfrei http://www.mdpi.com/1424-8220/14/10/18915 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2014 10 18915-18940
spelling	10.3390/s141018915 doi (DE-627)DOAJ085015628 (DE-599)DOAJ792bf169fb9844609971b4a4b7f332e9 DE-627 ger DE-627 rakwb eng TP1-1185 Francesco Bonavolontà verfasserin aut New Approach Based on Compressive Sampling for Sample Rate Enhancement in DASs for Low-Cost Sensing Nodes 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The paper deals with the problem of improving the maximum sample rate of analog-to-digital converters (ADCs) included in low cost wireless sensing nodes. To this aim, the authors propose an efficient acquisition strategy based on the combined use of high-resolution time-basis and compressive sampling. In particular, the high-resolution time-basis is adopted to provide a proper sequence of random sampling instants, and a suitable software procedure, based on compressive sampling approach, is exploited to reconstruct the signal of interest from the acquired samples. Thanks to the proposed strategy, the effective sample rate of the reconstructed signal can be as high as the frequency of the considered time-basis, thus significantly improving the inherent ADC sample rate. Several tests are carried out in simulated and real conditions to assess the performance of the proposed acquisition strategy in terms of reconstruction error. In particular, the results obtained in experimental tests with ADC included in actual 8- and 32-bits microcontrollers highlight the possibility of achieving effective sample rate up to 50 times higher than that of the original ADC sample rate. compressive sampling high time resolution ADC sample rate random sampling Chemical technology Massimo D'Apuzzo verfasserin aut Annalisa Liccardo verfasserin aut Michele Vadursi verfasserin aut In Sensors MDPI AG, 2003 14(2014), 10, Seite 18915-18940 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:14 year:2014 number:10 pages:18915-18940 https://doi.org/10.3390/s141018915 kostenfrei https://doaj.org/article/792bf169fb9844609971b4a4b7f332e9 kostenfrei http://www.mdpi.com/1424-8220/14/10/18915 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2014 10 18915-18940
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allfieldsSound	10.3390/s141018915 doi (DE-627)DOAJ085015628 (DE-599)DOAJ792bf169fb9844609971b4a4b7f332e9 DE-627 ger DE-627 rakwb eng TP1-1185 Francesco Bonavolontà verfasserin aut New Approach Based on Compressive Sampling for Sample Rate Enhancement in DASs for Low-Cost Sensing Nodes 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The paper deals with the problem of improving the maximum sample rate of analog-to-digital converters (ADCs) included in low cost wireless sensing nodes. To this aim, the authors propose an efficient acquisition strategy based on the combined use of high-resolution time-basis and compressive sampling. In particular, the high-resolution time-basis is adopted to provide a proper sequence of random sampling instants, and a suitable software procedure, based on compressive sampling approach, is exploited to reconstruct the signal of interest from the acquired samples. Thanks to the proposed strategy, the effective sample rate of the reconstructed signal can be as high as the frequency of the considered time-basis, thus significantly improving the inherent ADC sample rate. Several tests are carried out in simulated and real conditions to assess the performance of the proposed acquisition strategy in terms of reconstruction error. In particular, the results obtained in experimental tests with ADC included in actual 8- and 32-bits microcontrollers highlight the possibility of achieving effective sample rate up to 50 times higher than that of the original ADC sample rate. compressive sampling high time resolution ADC sample rate random sampling Chemical technology Massimo D'Apuzzo verfasserin aut Annalisa Liccardo verfasserin aut Michele Vadursi verfasserin aut In Sensors MDPI AG, 2003 14(2014), 10, Seite 18915-18940 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:14 year:2014 number:10 pages:18915-18940 https://doi.org/10.3390/s141018915 kostenfrei https://doaj.org/article/792bf169fb9844609971b4a4b7f332e9 kostenfrei http://www.mdpi.com/1424-8220/14/10/18915 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2014 10 18915-18940
language	English
source	In Sensors 14(2014), 10, Seite 18915-18940 volume:14 year:2014 number:10 pages:18915-18940
sourceStr	In Sensors 14(2014), 10, Seite 18915-18940 volume:14 year:2014 number:10 pages:18915-18940
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	compressive sampling high time resolution ADC sample rate random sampling Chemical technology
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container_title	Sensors
authorswithroles_txt_mv	Francesco Bonavolontà @@aut@@ Massimo D'Apuzzo @@aut@@ Annalisa Liccardo @@aut@@ Michele Vadursi @@aut@@
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callnumber-first	T - Technology
author	Francesco Bonavolontà
spellingShingle	Francesco Bonavolontà misc TP1-1185 misc compressive sampling misc high time resolution ADC misc sample rate misc random sampling misc Chemical technology New Approach Based on Compressive Sampling for Sample Rate Enhancement in DASs for Low-Cost Sensing Nodes
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topic_title	TP1-1185 New Approach Based on Compressive Sampling for Sample Rate Enhancement in DASs for Low-Cost Sensing Nodes compressive sampling high time resolution ADC sample rate random sampling
topic	misc TP1-1185 misc compressive sampling misc high time resolution ADC misc sample rate misc random sampling misc Chemical technology
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title	New Approach Based on Compressive Sampling for Sample Rate Enhancement in DASs for Low-Cost Sensing Nodes
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title_full	New Approach Based on Compressive Sampling for Sample Rate Enhancement in DASs for Low-Cost Sensing Nodes
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title_sort	new approach based on compressive sampling for sample rate enhancement in dass for low-cost sensing nodes
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title_auth	New Approach Based on Compressive Sampling for Sample Rate Enhancement in DASs for Low-Cost Sensing Nodes
abstract	The paper deals with the problem of improving the maximum sample rate of analog-to-digital converters (ADCs) included in low cost wireless sensing nodes. To this aim, the authors propose an efficient acquisition strategy based on the combined use of high-resolution time-basis and compressive sampling. In particular, the high-resolution time-basis is adopted to provide a proper sequence of random sampling instants, and a suitable software procedure, based on compressive sampling approach, is exploited to reconstruct the signal of interest from the acquired samples. Thanks to the proposed strategy, the effective sample rate of the reconstructed signal can be as high as the frequency of the considered time-basis, thus significantly improving the inherent ADC sample rate. Several tests are carried out in simulated and real conditions to assess the performance of the proposed acquisition strategy in terms of reconstruction error. In particular, the results obtained in experimental tests with ADC included in actual 8- and 32-bits microcontrollers highlight the possibility of achieving effective sample rate up to 50 times higher than that of the original ADC sample rate.
abstractGer	The paper deals with the problem of improving the maximum sample rate of analog-to-digital converters (ADCs) included in low cost wireless sensing nodes. To this aim, the authors propose an efficient acquisition strategy based on the combined use of high-resolution time-basis and compressive sampling. In particular, the high-resolution time-basis is adopted to provide a proper sequence of random sampling instants, and a suitable software procedure, based on compressive sampling approach, is exploited to reconstruct the signal of interest from the acquired samples. Thanks to the proposed strategy, the effective sample rate of the reconstructed signal can be as high as the frequency of the considered time-basis, thus significantly improving the inherent ADC sample rate. Several tests are carried out in simulated and real conditions to assess the performance of the proposed acquisition strategy in terms of reconstruction error. In particular, the results obtained in experimental tests with ADC included in actual 8- and 32-bits microcontrollers highlight the possibility of achieving effective sample rate up to 50 times higher than that of the original ADC sample rate.
abstract_unstemmed	The paper deals with the problem of improving the maximum sample rate of analog-to-digital converters (ADCs) included in low cost wireless sensing nodes. To this aim, the authors propose an efficient acquisition strategy based on the combined use of high-resolution time-basis and compressive sampling. In particular, the high-resolution time-basis is adopted to provide a proper sequence of random sampling instants, and a suitable software procedure, based on compressive sampling approach, is exploited to reconstruct the signal of interest from the acquired samples. Thanks to the proposed strategy, the effective sample rate of the reconstructed signal can be as high as the frequency of the considered time-basis, thus significantly improving the inherent ADC sample rate. Several tests are carried out in simulated and real conditions to assess the performance of the proposed acquisition strategy in terms of reconstruction error. In particular, the results obtained in experimental tests with ADC included in actual 8- and 32-bits microcontrollers highlight the possibility of achieving effective sample rate up to 50 times higher than that of the original ADC sample rate.
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title_short	New Approach Based on Compressive Sampling for Sample Rate Enhancement in DASs for Low-Cost Sensing Nodes
url	https://doi.org/10.3390/s141018915 https://doaj.org/article/792bf169fb9844609971b4a4b7f332e9 http://www.mdpi.com/1424-8220/14/10/18915 https://doaj.org/toc/1424-8220
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