On the suitability of compressive sampling for the measurement of electrical power quality

Bonavolontà, Francesco; D’Arco, Mauro; Ianniello, Giacomo; Liccardo, Annalisa; Schiano, R.; Moriello, Lo; Ferrigno, Luigi; Laracca, Marco; Miele, Gianfranco

doi:10.1109/i2mtc.2013.6555395

Cited by 18 publications

(9 citation statements)

References 30 publications

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“…Recently, many research activities suggest the possibility to move toward a different architectures exploiting the advantages of an innovative measurement approach: the Compressive Sampling (CS) [4][5][6][7][8]. The CS is a new acquisition paradigm capable of digitizing the input signal directly in a compressed form, acquiring only a reduced number of samples sufficient to successively reconstruct the input signal by means of suitable algorithms [9].…”

Section: Introductionmentioning

confidence: 99%

Frequency domain measurement node based on compressive sampling for sensors networks

Angrisani

Bonavolontà

Tocchi

2015

2015 IEEE International Workshop on Measurements &Amp; Networking (M&N)

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The paper deals with the problem of designing and implementing a measurement node based on compressive sampling (CS). The considered node is tailored for wide area sensors networks aimed to carry out measurements in frequency domain. To this aim, the node takes advantage from some known or recently proposed CS features in such a way as to outperform the nominal specification of its data acquisition module. To make the spectrum estimation feasible on the node level, a suitable strategy for input signal random sampling and an efficient CS implementation, i.e. the greedy algorithms based on the so-called match-pursuit approach, are exploited. First tests are presented, related to a cost-effective microcontroller from STMicrocontroller, namely STM32F429ZI, characterized by a data memory depth sufficient to execute the agile computational scheme of the greedy algorithm. The estimated spectra concur with those obtained through standard discrete Fourier transform-based approaches, thus highlighting the feasibility of the proposed measurement node

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Section: Introductionmentioning

confidence: 99%

Frequency domain measurement node based on compressive sampling for sensors networks

Angrisani

Bonavolontà

Tocchi

2015

2015 IEEE International Workshop on Measurements &Amp; Networking (M&N)

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“…Moreover, benefiting from the development of advanced technologies [27] and methodologies of analysis [28]- [31] in different fields, innovative systems may also be designed for biomedical applications.…”

Section: Introductionmentioning

confidence: 99%

Novel concepts and strategies in skull base reconstruction after endoscopic endonasal surgery

et al. 2020

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<p align="left">Recently, a variety of craniofacial approaches has been adopted to enter the skull base, among those, the endonasal endoscopic technique. An effective watertight thereafter: the reconstruction can be performed using different materials, both autologous and non-autologous, individually or combined in a multilayer fashion. The current study was focused on the development of new advanced devices and techniques, aiding in reducing postoperative CSF leak rate. Additive manufacturing allows the design of devices with tailored structural and functional features and, as well, injectable semi-IPNs and composites; therefore specific mechanical/rheological and injectability studies are valuable. Accordingly, we propose new additive-manufactured and injectable devices.</p>

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“…Stemming from their past experiences on topics regarding THz novel devices and imaging systems [8]- [10] and Compressive Sampling [11][12][13], the authors are going to look into the possible applicability of CS-based THz systems to the early crack detection on aerospace plates, an important issue to be assessed to assure safety of aerospace structures. The goal should be to improve resolution of the available systems reducing the acquisition time, with the aim of detecting in advance eventual damages, thus allowing to repair of fiber composites when it is more cost-effective.…”

Section: Introductionmentioning

confidence: 99%

First steps towards an innovative compressive sampling based-THz imaging system for early crack detection on aereospace plates

Angrisani

Bonavolontà

Moriello

et al. 2014

2014 IEEE Metrology for Aerospace (MetroAeroSpace)

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The paper deals with the problem of early detecting cracks in composite materials for avionic applications. In particular, the authors present a THz imaging system that exploits compressive sampling (CS) to detect submillimeter cracks with a reduced measurement burden. Traditional methods for THz imaging usually involve raster scan of the issue of interest by means of highly collimated radiations and the corresponding image is achieved by measuring the received THz power in different positions (pixels) of the desired image. As it can be expected, the higher the required resolution, the longer the measurement time. On the contrary, two different approaches for THz imaging (namely, continuous wave and time domain spectroscopy) combined with a proper CS solution are used to assure as good results as those granted by traditional raster scan; a proper set of masks (each of which characterized by a specific random pattern) are defined to the purpose. A number of tests conducted on simulated data highlighted the promising performance of the proposed method thus suggesting its implementation in an actual measurement setup

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On the suitability of compressive sampling for the measurement of electrical power quality

Cited by 18 publications

References 30 publications

Frequency domain measurement node based on compressive sampling for sensors networks

Frequency domain measurement node based on compressive sampling for sensors networks

Novel concepts and strategies in skull base reconstruction after endoscopic endonasal surgery

First steps towards an innovative compressive sampling based-THz imaging system for early crack detection on aereospace plates

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