Search results for "real-time"

showing 10 items of 881 documents

Aerial Spectrum Surveying: Radio Map Estimation with Autonomous UAVs

2020

Radio maps are emerging as a popular means to endow next-generation wireless communications with situational awareness. In particular, radio maps are expected to play a central role in unmanned aerial vehicle (UAV) communications since they can be used to determine interference or channel gain at a spatial location where a UAV has not been before. Existing methods for radio map estimation utilize measurements collected by sensors whose locations cannot be controlled. In contrast, this paper proposes a scheme in which a UAV collects measurements along a trajectory. This trajectory is designed to obtain accurate estimates of the target radio map in a short time operation. The route planning a…

Signal Processing (eess.SP)Situation awarenessComputer scienceActive learning (machine learning)business.industry05 social sciencesReal-time computing050801 communication & media studies020206 networking & telecommunications02 engineering and technologyBayesian inferenceComputer Science::Robotics0508 media and communicationsInterference (communication)Metric (mathematics)0202 electrical engineering electronic engineering information engineeringTrajectoryMaximum a posteriori estimationFOS: Electrical engineering electronic engineering information engineeringWirelessElectrical Engineering and Systems Science - Signal Processingbusiness
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Blind multi-user detection by fast fixed point algorithm without prior knowledge of symbol-level timing

2003

We consider the estimation of the source process of the desired user an the downlink of a code-division multiple access (CDMA) communication system. In downlink signal processing, only the code of the mobile telephone user is known, while the codes of the interfering users are unknown. Blind source separation or independent component analysis is an approach offering the solution to this problem. In this work we apply the fast fixed point algorithm to the separation problem. The algorithm is based on fourth-order statistics optimization. Knowledge about the symbol level timing has to be known only coarsely.

Signal processingCode division multiple accessComputer scienceReal-time computingTelecommunications linkComputer Science::Networking and Internet ArchitectureCode (cryptography)Detection theoryCommunications systemIndependent component analysisBlind signal separationComputer Science::Information TheoryProceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics. SPW-HOS '99
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Transputer-based parallel system for acquisition and on-line analysis of single-fiber electromyographic signals.

1992

Abstract We describe a transputer-based system suitable for accurate measurements of single-fiber electromyographic jitter. It consists of a conventional electromyograph, a home-made interface and a commercially available transputer-based board installed within a PC/AT compatible. Taking advantage of the concurrent operation of two transputer modules, the system features simultaneous data acquisition and statistical signal processing: while data are acquired and analyzed, a real-time visualization of the signal latency and its variability is provided. In the present configuration, the system can acquire and analyze up to 40,000 consecutive action potentials, which can be grouped into up to …

Signal processingComputer scienceElectromyographyTransputerInterface (computing)Real-time computingHealth InformaticsSignal Processing Computer-AssistedSignalComputer Science ApplicationsData acquisitionMicrocomputersEvaluation Studies as TopicHumansDiagnosis Computer-AssistedSmoothingSoftwareStatistical signal processingJitterComputer methods and programs in biomedicine
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On the performance of multi-GPU-based expert systems for acoustic localization involving massive microphone arrays

2015

Sound source localization is an important topic in expert systems involving microphone arrays, such as automatic camera steering systems, human-machine interaction, video gaming or audio surveillance. The Steered Response Power with Phase Transform (SRP-PHAT) algorithm is a well-known approach for sound source localization due to its robust performance in noisy and reverberant environments. This algorithm analyzes the sound power captured by an acoustic beamformer on a defined spatial grid, estimating the source location as the point that maximizes the output power. Since localization accuracy can be improved by using high-resolution spatial grids and a high number of microphones, accurate …

Signal processingReverberationComputer scienceMicrophoneReal-time computingGeneral EngineeringAcoustic source localizationSound powercomputer.software_genreGridExpert systemMicrophone arraysComputer Science ApplicationsSound source localizationNoiseArtificial IntelligenceTEORIA DE LA SEÑAL Y COMUNICACIONESCIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIALGraphics Processing UnitscomputerSteered Response Power
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Improving similarity measures for re-identification of vehicles using AMR sensors

2013

The use of Anisotropic Magneto-Resistive (AMR) sensors for road traffic monitoring has gained popularity in recent years. The Earth magnetic field variations caused by vehicles passing over this kind of sensors can be measured and used for various purposes, including vehicle re-identification at different sensing zones. AMR sensors provide data that allow the calculation of traffic parameters by using simple signal processing techniques. But when vehicle re-identification is the objective, it is not clear which is the best method to compare the signals from different sensors in order to know whether or not they belong to the same vehicle. This paper presents an experimental study with the o…

Signal processingSimilarity (geometry)SIMPLE (military communications protocol)business.industryComputer scienceReal-time computingElectrical engineeringSimilarity measurebusinessRoad trafficRe identification2013 9th International Conference on Information, Communications & Signal Processing
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Adaptive quadratic regularization for baseline wandering removal in wearable ECG devices

2016

The electrocardiogram (ECG) is one of the most important physiological signals to monitor the health status of a patient. Technological advances allow the size and weight of ECG acquisition devices to be strongly reduced so that wearable systems are now available, even though the computational power and memory capacity is generally limited. An ECG signal is affected by several artifacts, among which the baseline wandering (BW), i.e., a slowly varying variation of its trend, represents a major disturbance. Several algorithms for BW removal have been proposed in the literature. In this paper, we propose new methods to face the problem that require low computational and memory resources and th…

Signal processingmedicine.diagnostic_testComputer scienceReal-time computingWearable computerRegularization (mathematics)030218 nuclear medicine & medical imagingPower (physics)03 medical and health sciences0302 clinical medicineQuadratic equationmedicineBaseline (configuration management)Electrocardiography030217 neurology & neurosurgerySimulation
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Wearable PPG Sensor Matrix for Cardiovascular Assessment

2014

Wearable biomonitoring systems and smart textiles for healthcare are gaining more importance and significance in the R&D sphere due to their potentials in healthcare and sports. Such biomonitoring systems offer a number of advantages in comparison to the conventional equipment proving mobility of the wearer during a long-term monitoring of vital parameters. There are different options to set up the physiological monitoring using wireless and wearable technologies. One of the scenarios is addressing textiles as a carrier of electronics. Moreover, those differ by their functional applications, registered physiological parameters and technology solutions. Still, the most demanded biomonitoring…

Smart systemEngineeringbusiness.industrytextileintegrated sensorsReal-time computingElectrical engineeringWearable computerwearable technologies optical sensing textileintegrated sensors photoplethysmography telemetric cardiovascular assessment personalized healthcareoptical sensingReference dataSoftwarepersonalized healthcarePhotoplethysmogramwearable technologiesWirelessphotoplethysmographytelemetric cardiovascular assessmentElectronicsbusinessWearable technologyMaterials Science. Textile and Clothing Technology
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The molecular profiling of solid tumors by liquid biopsy: a position paper of the AIOM–SIAPEC-IAP–SIBioC–SIC–SIF Italian Scientific Societies

2021

The term liquid biopsy (LB) refers to the use of various biological fluids as a surrogate for neoplastic tissue to achieve information for diagnostic, prognostic and predictive purposes. In the current clinical practice, LB is used for the identification of driver mutations in circulating tumor DNA derived from both tumor tissue and circulating neoplastic cells. As suggested by a growing body of evidence, however, there are several clinical settings where biological samples other than tissue could be used in the routine practice to identify potentially predictive biomarkers of either response or resistance to targeted treatments. New applications are emerging as useful clinical tools, and o…

Societies ScientificCancer ResearchContext (language use)ReviewNeoplastic CellsBioinformaticsCirculating tumor cellCirculatingBiomarkers TumorMedicineHumansDigital polymerase chain reactionLiquid biopsycfDNAcirculating tumor DNAcfDNA; circulating cell-free DNA; circulating tumor DNA; ctDNA; digital PCR; liquid biopsy; next-generation sequencing; real-time PCRTumorCirculating Neoplastic Cellsliquid biopsybusiness.industrydigital PCRScientificctDNAcirculating cell-free DNANeoplastic Cells CirculatingCirculating Cell-Free DNAcfDNA; circulating cell-free DNA; circulating tumor DNA; ctDNA; digital PCR; liquid biopsy; next-generation sequencing; real-time PCR; Biomarkers Tumor; Humans; Italy; Liquid Biopsy; Neoplastic Cells Circulating; Societies ScientificOncologyItalyCirculating tumor DNAPosition papernext-generation sequencingSocietiesbusinessreal-time PCRBiomarkersHuman
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Studies on the response of soil microflora to the application of the fungicide fenhexamid

2007

The aim of this work was to evaluate the impact of the fungicide fenhexamid (FEX) on the genetic structure of soil bacterial communities using the Ribosomal Intergenic Spacer Analysis molecular technique. Using real-time PCR, we also tried to quantify the pcaH sequences which encode the dioxygenases involved in the degradation process of a variety of aromatic compounds. Soil taken from a vineyard in the Etna Park (Sicily, Italy) was treated with FEX in the ratio 2 µg g-1 soil every 7 days, the process being repeated four times. The analyses were carried out before treatment and 7 days after each further application of FEX. At the same time, the degradation rate was evaluated. The use of FEX…

Soil microfloraEcology[SDV]Life Sciences [q-bio]Health Toxicology and MutagenesisRibosomal Intergenic Spacer analysisRIBOSOMAL INTERGENIC SPACER ANALYSISFenhexamidPublic Health Environmental and Occupational HealthSoil ScienceMolecular TechniqueBiologyPollutionVineyardAnalytical ChemistryFungicideHorticultureRISA[SDE]Environmental SciencesReal-time PCR RISAEnvironmental ChemistryREAL-TIME PCRDegradation processWaste Management and DisposalFenhexamid; Real-time PCR RISA; Soil microfloraWater Science and TechnologyInternational Journal of Environmental Analytical Chemistry
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Cumulative-Sum-Based Localization of Sound Events in Low-Cost Wireless Acoustic Sensor Networks

2014

Wireless acoustic sensor networks (WASNs) are known for their potential applications in multiple areas, such as audio-based surveillance, binaural hearing aids or advanced acoustic monitoring. The knowledge of the spatial position of a source of interest is usually a requirement for many of these applications. Therefore, source localization is an important problem to be addressed in WASNs. Unfortunately, most localization algorithms need costly signal processing stages that prevent them from being implemented in low-cost sensor networks, requiring additional modules for signal acquisition and processing. This paper presents a low-complexity method for acoustic event detection and localizati…

Sound localizationSignal processingAcoustics and UltrasonicsComputer sciencebusiness.industrySpeech recognitionNode (networking)Real-time computingCUSUMComputational MathematicsSoftware deploymentComputer Science (miscellaneous)WirelessElectrical and Electronic EngineeringbusinessWireless sensor networkChange detectionIEEE/ACM Transactions on Audio, Speech, and Language Processing
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