Search results for "Fast Fourier transform"

showing 10 items of 67 documents

The Dynamical Kernel Scheduler - Part 1

2015

Emerging processor architectures such as GPUs and Intel MICs provide a huge performance potential for high performance computing. However developing software using these hardware accelerators introduces additional challenges for the developer such as exposing additional parallelism, dealing with different hardware designs and using multiple development frameworks in order to use devices from different vendors. The Dynamic Kernel Scheduler (DKS) is being developed in order to provide a software layer between host application and different hardware accelerators. DKS handles the communication between the host and device, schedules task execution, and provides a library of built-in algorithms. …

Speedup010308 nuclear & particles physicsComputer sciencebusiness.industryFast Fourier transformGeneral Physics and AstronomyFOS: Physical sciencesParallel computingComputational Physics (physics.comp-ph)Supercomputer01 natural sciencesCUDASoftwareKernel (image processing)Hardware and Architecture0103 physical sciencesHardware acceleration010306 general physicsbusinessPhysics - Computational PhysicsXeon Phi
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Periodic Discrete and Discrete-Time Splines

2018

Periodic discrete splines with different periods and spans are introduced in Sect. 3.4 of Volume I (Averbuch, Neittaanmaki and Zheludev, Spline and Spline Wavelet Methods with Applications to Signal and Image Processing, Springer, Berlin, 2014) [2]. In this chapter, we regard periodic discrete splines as a base for the design of periodic discrete-time wavelets, wavelet packets and wavelet frames. Therefore, only the discrete splines whose spans are 2 are outlined. These discrete splines are linear combinations of the discrete B-splines. So also, the so-called discrete-time splines are discussed in the chapter that are linear combinations of the discrete-time B-splines. The discrete-time B-s…

Spline (mathematics)Computer Science::GraphicsWaveletDiscrete time and continuous timeComputer scienceSpline waveletFast Fourier transformApplied mathematicsImage processingLinear combinationMathematics::Numerical AnalysisWavelet packet decomposition
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Periodic Orthogonal Wavelets and Wavelet Packets

2018

In this chapter, we discuss how to derive versatile families of periodic discrete-time orthogonal wavelets and wavelet packets from discrete and discrete-time splines outlined in Chap. 3. These wavelets and wavelet packets, although not having compact supports, are well localized in the time domain. They can have any number of discrete vanishing moments. Their DFT spectra tend to have a rectangular shape when the spline order grows and provide a collection of refined splits of the Nyquist frequency band. The wavelet and wavelet packet transforms are implemented in a fast way using the FFT.

Spline (mathematics)WaveletComputer scienceNetwork packetFast Fourier transformComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMathematicsofComputing_NUMERICALANALYSISData_CODINGANDINFORMATIONTHEORYTime domainVanishing momentsNyquist frequencyAlgorithmWavelet packet decomposition
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Two-Dimensional Orthogonal Wavelets and Wavelet Packets

2018

This chapter extends the design of spline-based orthogonal discrete-time wavelets and wavelet packets to two-dimensional case. The corresponding transforms are implemented by using the 2D FFT.

Spline (mathematics)WaveletComputer sciencePhase spectrumFast Fourier transformMathematicsofComputing_NUMERICALANALYSISAlgorithmWavelet packet decomposition
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Improving the Performance of Steel Machining Processes through Cutting by Vibration Control

2021

Machining processes through cutting are accompanied by dynamic phenomena that influence the quality of the processed surfaces. Thus, this research aimed to design, make, and use a tool with optimal functional geometry, which allowed a reduction of the dynamic phenomena that occur in the cutting process. In order to carry out the research, the process of cutting by front turning with transversal advance was taken into account. Additionally, semi-finished products with a diameter of Ø = 150 mm made of C45 steel were chosen for processing (1.0503). The manufacturing processes were performed with the help of two tools: a cutting tool, the classic construction version, and another that was the i…

TechnologyComputer sciencevibration controlFast Fourier transformVibration controlMechanical engineeringSurface finishArticleMachiningsteel machining processesGeneral Materials SciencecuttingMicroscopyQC120-168.85Cutting toolTQH201-278.5Process (computing)Engineering (General). Civil engineering (General)TK1-9971VibrationDescriptive and experimental mechanicsroughness analysistoolsElectrical engineering. Electronics. Nuclear engineeringTA1-2040Reduction (mathematics)Materials
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Machinery Failure Approach and Spectral Analysis to Study the Reaction Time Dynamics over Consecutive Visual Stimuli: An Entropy-Based Model.

2020

[EN] The reaction times of individuals over consecutive visual stimuli have been studied using an entropy-based model and a failure machinery approach. The used tools include the fast Fourier transform and a spectral entropy analysis. The results indicate that the reaction times produced by the independently responding individuals to visual stimuli appear to be correlated. The spectral analysis and the entropy of the spectrum yield that there are features of similarity in the response times of each participant and among them. Furthermore, the analysis of the mistakes made by the participants during the reaction time experiments concluded that they follow a behavior which is consistent with …

Visual stimuliMean time between failuresVisual perceptionComputer scienceGeneral MathematicsFast Fourier transform050109 social psychologySpectral analysisPercepció visual03 medical and health sciences0302 clinical medicineFast Fourier transformComputer Science (miscellaneous)0501 psychology and cognitive sciencesSpectral analysisEngineering (miscellaneous)Reaction timebusiness.industrylcsh:MathematicsSpectral entropy05 social sciencesPattern recognitionMTBF modelTempslcsh:QA1-939Time dynamicsFISICA APLICADAArtificial intelligencebusinessMATEMATICA APLICADA030217 neurology & neurosurgery
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Phase-shifting Gabor holography.

2009

We present a modified Gabor-like setup able to recover the complex amplitude distribution of the object wavefront from a set of inline recorded holograms. The proposed configuration is characterized by the insertion of a condenser lens and a spatial light modulator (SLM) into the classical Gabor configuration. The phase shift is introduced by the SLM that modulates the central spot (dc term) in an intermediate plane, without an additional reference beam. Experimental results validate the proposed method and produce superior results to the Gabor method.

WavefrontPhysicsSpatial light modulatorbusiness.industryFast Fourier transformHolographyPhysics::OpticsAtomic and Molecular Physics and Opticslaw.inventionOpticslawReference beamDigital image processingbusinessPhase modulationDigital holographyOptics letters
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Roughness evaluation of vine leaf by image processing

2013

International audience; The study of leaf surface roughness is very important in the domain of precision spraying. It is one of the parameters that allow to reduce costs and losses of phytosanitary prod- ucts and to improve the spray accuracy. Moreover, the leaf roughness is related to adhesion mechanisms of liquid on a surface. It can be used to define leaf nature surface (hy- drophilic/hydrophobic). The main goal of this study is thus to estimate and to follow the evolution of leaf roughness using image processing and computer vision. The develop- ment and application of computer vision for measurement of surface leaf roughness using artificial neural networks will be described. The syste…

[ MATH ] Mathematics [math]0106 biological sciences0209 industrial biotechnologyScanning electron microscope[SDV]Life Sciences [q-bio]Computer Vision[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[MATH] Mathematics [math]02 engineering and technologySurface finishLeaf roughness01 natural sciences[PHYS] Physics [physics][SPI]Engineering Sciences [physics]020901 industrial engineering & automation[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[ SPI ] Engineering Sciences [physics]Surface roughnessComputer vision[MATH]Mathematics [math]ComputingMilieux_MISCELLANEOUS[PHYS]Physics [physics][ PHYS ] Physics [physics]Artificial neural network[STAT]Statistics [stat]Multilayer perceptron[SDE]Environmental SciencesBiological system[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingMaterials science[ STAT ] Statistics [stat][INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[SPI] Engineering Sciences [physics]IASTEDFast Fourier transformNeural NetworkImage processingImage processing[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyTexturelanguage technologies[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingPrecision agriculturebusiness.industry[STAT] Statistics [stat]Precision agricultureArtificial intelligencebusiness010606 plant biology & botany
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Phase-Noise and Amplitude-Noise Measurement of DACs and DDSs

2019

This article proposes a method for the measurement of Phase Noise (PN, or PM noise) and Amplitude Noise (AN, or AM noise) of Digital-to-Analog Converters (DAC) and Direct Digital Synthesizers (DDS) based on modulation-index amplification. The carrier is first reduced by a controlled amount (30-40 dB) by adding a reference signal of nearly equal amplitude and opposite in phase. Then, residual carrier and noise sidebands are amplified and sent to a conventional PN analyzer. The main virtues of our method are: (i) the noise specs of the PN analyzer are relaxed by a factor equal to the carrier suppression ratio; and, (ii) the capability to measure the AN using a PN analyzer, with no need for th…

[SPI.OTHER]Engineering Sciences [physics]/OtherSpectrum analyzerPhysics - Instrumentation and DetectorsAcoustics and UltrasonicsAtomic Physics (physics.atom-ph)AcousticsFast Fourier transformFOS: Physical sciences02 engineering and technology01 natural sciencesPhysics - Atomic PhysicsAmplitude modulationBackground noise0103 physical sciencesPhase noiseFlicker noise[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Electrical and Electronic Engineering010301 acousticsInstrumentationPhysicsNoise measurementFlicker010401 analytical chemistryInstrumentation and Detectors (physics.ins-det)Converters021001 nanoscience & nanotechnologyResidual carrier[PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]0104 chemical sciencesNoiseAmplitudeDevice under test0210 nano-technology
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Recognition of Chip Forms by Means of Dynamic Force Spectrum Analysis

1993

In this study the ability to identify chip forms occurrs in the turning of austenitic stainless steel using dynamic force spectrum analysis has been tested. For this purpose the frequency spectra obtained from various metal cutting tests were recorded along with the static cutting forces. A dual channel analysis, based on the Fast Fourier Transform (FFT), was adopted to help identify the continuous/discontinuous (favourable/unfavourable) chip forming boundary. The results showed an acceptable correlation between the types of the frequency spectra and the types of chip forms. Finally, an original classification of the spectra obtained during turning of AISI 304 (DIN 1.4301) stainless steel i…

business.industryAcousticsFast Fourier transformBoundary (topology)Structural engineeringengineering.materialChipSpectral lineengineeringForce dynamicsAustenitic stainless steelSpectrum analysisbusinessMetal cutting
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