{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:29:29Z","timestamp":1760243369707,"version":"build-2065373602"},"reference-count":37,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2014,10,13]],"date-time":"2014-10-13T00:00:00Z","timestamp":1413158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s141018915","type":"journal-article","created":{"date-parts":[[2014,10,14]],"date-time":"2014-10-14T02:13:08Z","timestamp":1413252788000},"page":"18915-18940","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["New Approach Based on Compressive Sampling for Sample Rate Enhancement in DASs for Low-Cost Sensing Nodes"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0666-0942","authenticated-orcid":false,"given":"Francesco","family":"Bonavolont\u00e0","sequence":"first","affiliation":[{"name":"Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione, Universit\u00e0 degli Studi di Napoli Federico II, Via Claudio 21, Naples 80125, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Massimo","family":"D'Apuzzo","sequence":"additional","affiliation":[{"name":"Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione, Universit\u00e0 degli Studi di Napoli Federico II, Via Claudio 21, Naples 80125, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1270-4948","authenticated-orcid":false,"given":"Annalisa","family":"Liccardo","sequence":"additional","affiliation":[{"name":"Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione, Universit\u00e0 degli Studi di Napoli Federico II, Via Claudio 21, Naples 80125, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michele","family":"Vadursi","sequence":"additional","affiliation":[{"name":"Dipartimento di Ingegneria, Universit\u00e0 di Napoli \"Parthenope\", Centro Direzionale di Napoli,  Isola C4, Naples 80143, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2014,10,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2250","DOI":"10.1109\/TIM.2008.922110","article-title":"A remotely controlled onboard measurement system for optimization of energy consumption of electrical trains","volume":"57","author":"Landi","year":"2008","journal-title":"IEEE Trans. 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