Results 231 to 240 of about 69,881 (266)
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Modelling and analysis of the Ćuk convertor using the discrete impulse response method

IEE Proceedings G (Electronic Circuits and Systems), 1986
The discrete impulse response method has been applied for modelling and analysis of elementary switching DC-to-DC convertors operating in both continuous and discontinuous conduction mode. The model derived from this approach is exact up to one-half of the switching frequency.
L. Martéinez, A. Poveda, J.M. Miguel
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On the relationship between impulse response analysis, innovation accounting and Granger causality

Economics Letters, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dufour, Jean-Marie, Tessier, David
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The Rise of the Housing-Wealth Effect: Counterfactual Impulse Response Analysis [PDF]

open access: possible, 2014
This paper tests for the direct wealth effect versus an indirect wealth effect in aggregate data on U.S. households over four distinct sub-periods from 1952 through 2011. We use recent time series techniques to distinguish between the direct wealth effect from indirect channels which may operate through personal disposable income or liabilities.
Ryan R. Brady   +2 more
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Analysis of the performance and limitations of ICA-based relative impulse response identification

2015 23rd European Signal Processing Conference (EUSIPCO), 2015
Estimating impulse responses for a single source is a crucial problem for many applications in audio signal processing, such as source extraction. Since absolute impulse responses are hard to identify, relative impulse responses or, equivalently, relative transfer functions are identified instead.
Stefan Meier, Walter Kellermann
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Analysis on perceptual sensitivity to head-related impulse responses in the median plane

Journal of Mechanical Science and Technology, 2009
This study deals with the perceptual sensitivity to Head-Related Impulse Responses (HRIRs) in the median plane based on a series of subjective listening tests using a pair of headphones. First, the non-individualized HRIRs were modeled from 12 principal components (PCs) extracted from Principal Components Analysis (PCA) of the CIPIC HRTF database.
Hwang, S Hwang, Sungmok   +2 more
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The impulse response analysis of pore pressures monitoring data

2007
La surveillance efficace des barrages exige l'analyse la plus rapide possible des mesures d'auscultation de la pression interstitielle. Une modélisation directe de type élément-finis n'est pas adaptée. Nous présentons un formalisme relevant: d'une méthode basée sur la réponse impulsionnelle du barrage.
Bonelli, Stéphane, Radzicki, K.
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Capital market integration in the Pacific Basin region: an impulse response analysis

Journal of International Money and Finance, 1999
Abstract We examine the extent of capital market integration in a group of Pacific Basin countries following the deregulation of their markets, and explore whether the financial influence of Japan in the region has overtaken that of the US. Looking at long-run comovements of real interest rates through the use of cointegration, and using impulse ...
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The sequential analysis application in the problem of estimation of stochastic channel impulse response

'Challenges of Our Changing Global Environment'. Conference Proceedings. OCEANS '95 MTS/IEEE, 2002
The great power of low-frequency large scale ocean acoustic tomography sources causes the problem of environmental pollution. Problems associated with the behavior of the ocean fish and animals require the acoustical power to be decreased. It is well known, that the necessary acoustical power can be decreased, if the accumulation on long time interval ...
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Channel Impulse Response Analysis of the Indoor Propagation Based on Auto-Regressive Modeling

2018
A novel statistical channel impulse response model at 2.6 GHz is proposed for the indoor stairs and corridor environment. The model is based on the frequency domain auto-regressive (AR) process. The samples of the complex frequency response can be described as the output of the AR transfer function driven by a Gaussian white-noise process.
Jinpeng Liang   +5 more
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