Search results for "Impulse response"

showing 10 items of 50 documents

Housing market shocks in italy: A GVAR approach

2020

Abstract In this paper, we use a Global Vector Autoregression (GVAR) model to assess the spatio-temporal mechanism of house price spillovers, also known as “ripple effect”, among 93 Italian provincial housing markets, over the period 2004 − 2016 . In order to better capture the local housing market dynamics, we use data not only on house prices but also on transaction volumes. In particular, we focus on estimating, to what extent, exogenous shocks, interpreted as negative housing demand shocks, arising from 10 Italian regional capitals, impact on their house prices and sales and how these shocks spill over to neighbours housing markets. The negative housing market demand shock hitting the G…

040101 forestryEconomics and Econometrics05 social sciencesHousing market prices and volumes04 agricultural and veterinary sciencesMonetary economicsVector autoregressionSupply and demandShock (economics)House priceDemand shockOrder (exchange)0502 economics and businessGlobal VAREconomics0401 agriculture forestry and fisheriesSign restrictions050207 economicsDatabase transactionImpulse responseRipple effect
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Room acoustical parameters: A factor analysis approach

2009

Abstract In this study, we determined the most representative acoustical parameters for halls intended for verbal or music audition. Our study was carried out in nine halls of different shapes and designed for different uses. We measured the impulse response at a great number of points (many more than the minimum required by the ISO 3382 norm). From a physical viewpoint, all halls are enclosed three-dimensional areas. Our work hypothesis is that objective (measurable) acoustical parameters, or a combination of such parameters, must provide the acoustical information specific to each hall and must make it possible to grade each hall. Factor analysis was used to obtain these grading parameter…

Analisis factorialEngineeringAcoustics and Ultrasonicsbusiness.industryAcousticsSpeech recognitionStatistical analysisIntelligibility (communication)Room acousticsbusinessLinear combinationMeasure (mathematics)Impulse responseApplied Acoustics
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Improving accuracy of FIR filters for computing convolution transforms for smooth non-bandlimited signals

2019

We propose to improve the accuracy of FIR filters for computing convolution transforms for smooth non-bandlimited (NBL) signals by designing filters by the identification method with using a pair of bandlimited portions of the chosen NBL input and output signals related with each other by the given transform. A design example of type IV linear phase differentiator is presented, where filter coefficients are calculated from the bandlimited portions of the Cauchy pulse and its derivative. The performance of the designed differentiator is evaluated by comparing the accuracy of computed derivatives for several smooth NBL test signals, such as the Cauchy pulse, the Hilbert transform of Cauchy pu…

Bandlimiting020303 mechanical engineering & transports0203 mechanical engineeringFinite impulse responseComputer sciencelcsh:TA1-2040021105 building & construction0211 other engineering and technologies02 engineering and technologylcsh:Engineering (General). Civil engineering (General)AlgorithmConvolutionMATEC Web of Conferences
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Free-depths reconstruction with synthetic impulse response in integral imaging

2015

Integral Imaging provides spatial and angular information of three-dimensional (3D) objects, which can be used both for 3D display and for computational post-processing purposes. In order to recover the depth information from an integral image, several algorithms have been developed. In this paper, we propose a new free depth synthesis and reconstruction method based on the two-dimensional (2D) deconvolution between the integral image and a simplified version of the periodic impulse response function (IRF) of the system. The period of the IRF depends directly on the axial position within the object space. Then, we can retrieve the depth information by performing the deconvolution with compu…

Blind deconvolutionIntegral imagingComputer scienceImage qualitybusiness.industryFast Fourier transformImage processingImpulse (physics)Atomic and Molecular Physics and OpticsOpticsDigital image processingDeconvolutionbusinessImpulse responseOptics Express
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Free segmentation in rendered 3D images through synthetic impulse response in integral imaging

2016

Integral Imaging is a technique that has the capability of providing not only the spatial, but also the angular information of three-dimensional (3D) scenes. Some important applications are the 3D display and digital post-processing as for example, depth-reconstruction from integral images. In this contribution we propose a new reconstruction method that takes into account the integral image and a simplified version of the impulse response function (IRF) of the integral imaging (InI) system to perform a two-dimensional (2D) deconvolution. The IRF of an InI system has a periodic structure that depends directly on the axial position of the object. Considering different periods of the IRFs we …

Blind deconvolutionIntegral imagingbusiness.industrySegmentationComputer visionDeconvolutionArtificial intelligenceImpulse (physics)Stereo displaybusinessReconstruction methodImpulse responseMathematicsSPIE Proceedings
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Analysis of neuronal networks in the visual system of the cat using statistical signals

1976

If the input signals of the visual system in the cat are statistical patterns in space and time, a complete system analysis can be carried out. What counts here as a system are the neuronal networks between retina and recording site. In the case of linearity, one obtains the temporal impulse response functions at every point in the receptive field with the aid of correlation methods. The measuring time is about one minute. Some aspects of the procedure are explained in terms of examples. The method of measurement also makes it possible to determine the characteristic function of the system in time and space between different recording sites within the cortex. It is possible to specialize th…

Characteristic function (convex analysis)Systems AnalysisGeneral Computer ScienceModels NeurologicalStatistics as TopicComplex systemLinearityNonlinear systemSimple (abstract algebra)Receptive fieldCatsElectronic engineeringAnimalsVisual PathwaysPoint (geometry)AlgorithmImpulse responseBiotechnologyMathematicsBiological Cybernetics
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Speech Intelligibility Analysis and Approximation to Room Parameters through the Internet of Things

2021

In recent years, Wireless Acoustic Sensor Networks (WASN) have been widely applied to different acoustic fields in outdoor and indoor environments. Most of these applications are oriented to locate or identify sources and measure specific features of the environment involved. In this paper, we study the application of a WASN for room acoustic measurements. To evaluate the acoustic characteristics, a set of Raspberry Pi 3 (RPi) has been used. One is used to play different acoustic signals and four are used to record at different points in the room simultaneously. The signals are sent wirelessly to a computer connected to a server, where using MATLAB we calculate both the impulse response (IR…

Computer scienceAcoustics01 natural scienceslcsh:TechnologySet (abstract data type)lcsh:Chemistry030507 speech-language pathology & audiology03 medical and health sciencesWASNroom acousticsWirelessGeneral Materials ScienceMATLABInstrumentationlcsh:QH301-705.5Impulse responsecomputer.programming_languageFluid Flow and Transfer ProcessesMeasure (data warehouse)room parameters estimationbusiness.industrylcsh:TProcess Chemistry and Technology010401 analytical chemistryGeneral Engineeringspeech intelligibility indexRoom acousticslcsh:QC1-9990104 chemical sciencesComputer Science Applicationslcsh:Biology (General)lcsh:QD1-999Asynchronous communicationlcsh:TA1-2040impulse response0305 other medical scienceInternet of Thingsbusinesslcsh:Engineering (General). Civil engineering (General)computerlcsh:PhysicsApplied Sciences
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Introduction: Digital Filters and Filter Banks

2015

A basic operation of spectr is filterin. In this introductory chapter, processing of one- and two-dimensional signals by digital filters and filter banks is outlined. A polyphase implementation of multirate filtering is described. The application of filtering with IIR filters, whose transfer functions are rational, is described. Bases and frames in the signals’ space that are generated by perfect reconstruction filter banks are discussed. The Butterworth filters, which are used in further constructions, are introduced.

Computer scienceElectronic engineeringPolyphase systemButterworth filterFilter (signal processing)Capacitor-input filterFilter bankTransfer functionInfinite impulse responseDigital filter
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Real filter based on Mellin radial harmonics for scale-invariant pattern recognition.

1994

Several theoretical and experimental studies are developed in order to simplify the construction of filters based on Mellin radial harmonics (MRH) for scale-invariant pattern recognition. A real filter based on MRH is designed. The impulse response of the filter is a hermitic function, obtained by a suitable modification of a MRH component. This real filter has the same scale invariance as the conventional complex MRH filters, with the main advantage of its simplicity. Both computer simulations and optical experiments are presented.

Computer sciencebusiness.industryMaterials Science (miscellaneous)Pattern recognitionFunction (mathematics)Scale invarianceIndustrial and Manufacturing Engineeringsymbols.namesakeFourier transformFilter (video)HarmonicsPattern recognition (psychology)symbolsArtificial intelligenceBusiness and International ManagementbusinessFrequency modulationImpulse responseApplied optics
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Nonlinear System Response for Impulsive Parametric Input

1997

In engineering applications when the intensity of external forces depends on the response of the system, the input is called parametric. In this paper dynamical systems subjected to a parametric deterministic impulse are dealt with. Particular attention has been devoted to the evaluation of the discontinuity of the response when the parametric impulse occurs. The usual forward difference and trapezoidal integration schemes have been shown to provide only approximated solutions of the jump of the response; hence, the exact solution has been pursued and presented under the form of a numerical series. The impulse is represented throughout the paper by means of a classical Dirac’s delta functio…

Dynamical systems theoryFinite impulse responseMechanical EngineeringFinite differenceDirac delta functionImpulse (physics)Condensed Matter Physicssymbols.namesakeMechanics of MaterialsControl theorysymbolsApplied mathematicsInfinite impulse responseImpulse responseMathematicsParametric statisticsJournal of Applied Mechanics
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