Search results for "programma"

showing 10 items of 708 documents

SVM approximation for real-time image segmentation by using an improved hyperrectangles-based method

2003

A real-time implementation of an approximation of the support vector machine (SVM) decision rule is proposed. This method is based on an improvement of a supervised classification method using hyperrectangles, which is useful for real-time image segmentation. The final decision combines the accuracy of the SVM learning algorithm and the speed of a hyperrectangles-based method. We review the principles of the classification methods and we evaluate the hardware implementation cost of each method. We present the combination algorithm, which consists of rejecting ambiguities in the learning set using SVM decision, before using the learning step of the hyperrectangles-based method. We present re…

Computer Science::Machine LearningComputer sciencebusiness.industryGaussianCombination algorithmImage processingPattern recognitionImage segmentationDecision ruleMachine learningcomputer.software_genreSupport vector machinesymbols.namesakeSignal ProcessingsymbolsComputer Vision and Pattern RecognitionArtificial intelligenceElectrical and Electronic EngineeringField-programmable gate arraybusinesscomputerIndustrial inspectionReal-Time Imaging
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Modeling RISC-V Processor in IP-XACT

2018

IP-XACT is the most used standard in IP (Intellectual Property) integration. It is intended as a language neutral golden reference, from which RTL and HW dependent SW is automatically generated. Despite its wide popularity in the industry, there are practically no public and open design examples for any part of the design flow from IP-XACT to synthesis. One reason is the difficulty of creating IP-XACT models for existing RTL projects. In this paper, we address the issues by modeling the PULPino RISC-V microprocessor that is written in SystemVerilog (SV) and the project distributed over several repositories. We propose how to solve the mismatching concepts between SV project and IP-XACT, and…

Computer science010401 analytical chemistryDesign flowOpen design02 engineering and technologySystemVerilog01 natural sciences020202 computer hardware & architecture0104 chemical scienceslaw.inventionMicroprocessorComputer architecturelawIP-XACTRISC-V0202 electrical engineering electronic engineering information engineeringTask analysisField-programmable gate arrayHardware_REGISTER-TRANSFER-LEVELIMPLEMENTATIONcomputerHardware_LOGICDESIGNcomputer.programming_language2018 21st Euromicro Conference on Digital System Design (DSD)
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Efficient FPGA Implementation of an Adaptive Noise Canceller

2006

A hardware implementation of an adaptive noise canceller (ANC) is presented. It has been synthesized within an FPGA, using a modified version of the least mean square (LMS) error algorithm. The results obtained so far show a significant decrease of the required gate count when compared with a standard LMS implementation, while increasing the ANC bandwidth and signal to noise (S/N) ratio. This novel adaptive noise canceller is then useful for enhancing the S/N ratio of data collected from sensors (or sensor arrays) working in noisy environment, or dealing with potentially weak signals.

Computer scienceBandwidth (signal processing)Real-time computingSignal synthesisElectroencephalographyBioelectric potentialsLeast mean squares filterSignal-to-noise ratioGate countError analysisElectronic engineeringHardware_ARITHMETICANDLOGICSTRUCTURESField-programmable gate arrayEvoked PotentialsActive noise control
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Parallelizing Epistasis Detection in GWAS on FPGA and GPU-Accelerated Computing Systems

2015

This is a post-peer-review, pre-copyedit version of an article published in IEEE - ACM Transactions on Computational Biology and Bioinformatics. The final authenticated version is available online at: http://dx.doi.org/10.1109/TCBB.2015.2389958 [Abstract] High-throughput genotyping technologies (such as SNP-arrays) allow the rapid collection of up to a few million genetic markers of an individual. Detecting epistasis (based on 2-SNP interactions) in Genome-Wide Association Studies is an important but time consuming operation since statistical computations have to be performed for each pair of measured markers. Computational methods to detect epistasis therefore suffer from prohibitively lon…

Computer scienceBioinformaticsDNA Mutational AnalysisGenome-wide association studyParallel computingPolymorphism Single NucleotideSensitivity and SpecificityComputational biologyComputer GraphicsGeneticsComputer architectureField-programmable gate arrayRandom access memoryApplied MathematicsChromosome MappingHigh-Throughput Nucleotide SequencingReproducibility of ResultsField programmable gate arraysEpistasis GeneticSignal Processing Computer-AssistedEquipment DesignRandom access memoryComputing systemsReconfigurable computingEquipment Failure AnalysisTask (computing)EpistasisHost (network)Graphics processing unitsGenome-Wide Association StudyBiotechnology
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Real Time Image Rotation Using Dynamic Reconfiguration

2002

Abstract Field programmable gate array (FPGA) components are widely used nowdays to implement various algorithms, such as digital filtering, in real time. The emergence of dynamically reconfigurable FPGAs made it possible to reduce the number of necessary resources to carry out an image-processing task (tasks chain). In this article, an image-processing application, image rotation, that exploits the FPGAs dynamic reconfiguration method is presented. This paper shows that the choice of an implementation, static or dynamic reconfiguration, depends on the nature of the application. A comparison is carried out between the dynamic and the static reconfiguration using two criteria: cost and perfo…

Computer scienceBlock diagramControl reconfigurationImage processingTask (computing)Computer engineeringSignal ProcessingComputer Vision and Pattern RecognitionElectrical and Electronic EngineeringField-programmable gate arrayDynamic methodReal-time operating systemImage restorationSimulationReal-Time Imaging
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SoC-Based Implementation of the Backpropagation Algorithm for MLP

2008

The backpropagation algorithm used for the training of multilayer perceptrons (MLPs) has a high degree of parallelism and is therefore well-suited for hardware implementation on an ASIC or FPGA. However, most implementations are lacking in generality of application, either by limiting the range of trainable network topologies or by resorting to fixed-point arithmetic to increase processing speed. We propose a parallel backpropagation implementation on a multiprocessor system-on-chip (SoC) with a large number of independent floating-point processing units, controlled by software running on embedded processors in order to allow flexibility in the selection of the network topology to be traine…

Computer scienceDegree of parallelismOverhead (computing)MultiprocessingParallel computingFixed-point arithmeticPerceptronNetwork topologyField-programmable gate arrayBackpropagation2008 Eighth International Conference on Hybrid Intelligent Systems
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Selective Harmonic Elimination in a 5-Level Single Phase Converter with FPGA Based Controller

2018

Multilevel converters are becoming popular in high-power applications such as motor drives, renewable energy systems and distribution systems. Among all modulation techniques, selective harmonic elimination methods offer high quality voltage waveforms with operations at low switching frequency, hence, they are especially suitable for high-power applications. In this paper, a new analytical expression for the SHE problem formulated for a five-level converter is introduced, which is able to calculate the exact value of the switching angles. After a mathematical description of the proposed approach, this manuscript reports simulation and experimental results and analysis showing achievable res…

Computer scienceFive-level-inverter; analytical methods; selective harmonic elimination (SHE); real time implementationConvertersselective harmonic elimination (SHE)real time implementationHarmonic analysisanalytical methodsControl theoryModulationElectronic engineeringWaveformField-programmable gate arrayFive-level-inverterFrequency modulationVoltage2018 5th International Symposium on Environment-Friendly Energies and Applications (EFEA)
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Application based on dynamic reconfiguration of field-programmable gate arrays: JPEG 2000 arithmetic decoder

2005

This paper describes the implementation of a part of the JPEG 2000 algorithm (MQ decoder and arithmetic decoder) on a field-programmable gate array (FPGA) board by using dynamic reconfiguration. A comparison between static and dynamic reconfiguration is presented, and new analysis criteria (spatiotemporal efficiency, logic cost, and performance time) have been defined. The MQ decoder and arithmetic decoder are attractive for dynamic reconfiguration implementation in applications without parallel processing. This implementation is done on an architecture designed to study the dynamic reconfiguration of FPGAs: the ARDOISE architecture. The obtained implementation, based on four partial config…

Computer scienceGeneral EngineeringControl reconfigurationcomputer.file_formatAtomic and Molecular Physics and OpticsParallel processing (DSP implementation)Gate arrayJPEG 2000System on a chipHardware_ARITHMETICANDLOGICSTRUCTURESArithmeticField-programmable gate arraycomputerImage compressionOptical Engineering
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FPGA/LST-SW Encryption Module Implementation for Satellite Remote Sensing Secure Systems

2020

The need for security of data transmitted from satellites to the ground has increased. Therefore, the need for secure onboard systems is in great demand, particularly in satellite remote sensing missions. This paper describes an approach for a secure Field Programmable Gate Arrays (FPGA) implementation of the Land Surface Temperature Split Window (LST-SW) algorithm, with objective to meat real-time requirements, area optimization and achieved higher Throughput goals to be sufficient for a secure remote sensing satellite applications and missions. The system is designed using VHDL (VHSIC Hardware Description Language) in a Highlevel design method. The experimental results demonstrate that th…

Computer scienceRemote sensing (archaeology)business.industrySatellite remote sensingVHDLClock ratebusinessEncryptionField-programmable gate arraycomputerThroughput (business)Computer hardwarecomputer.programming_language2020 Fourth International Conference On Intelligent Computing in Data Sciences (ICDS)
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Live demonstration: multiplexing AER asynchronous channels over LVDS Links with Flow-Control and Clock-Correction for Scalable Neuromorphic Systems

2017

Paper presented at the 2017 IEEE International Symposium on Circuits and Systems (ISCAS), held in Baltimore, MD, USA, on 28-31 May 2017.

Computer scienceSerial communicationGabor filters02 engineering and technologyMultiplexingMultiplexing0202 electrical engineering electronic engineering information engineeringComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSField-programmable gate arrayComputer Science::Operating SystemsMassively parallelNeuromorphicsReal-time systemsSpiking neural networkQuantitative Biology::Neurons and CognitionArtificial neural networkbusiness.industry020208 electrical & electronic engineeringField programmable gate arraysNeuromorphic engineeringAsynchronous communicationEmbedded systemVoltage controlbusinessComputer hardwareNeural networksHardware_LOGICDESIGN
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