Relevant bibliographies by topics / Impulse response functions

Academic literature on the topic 'Impulse response functions'

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Published: 4 June 2021
Last updated: 11 March 2023

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Journal articles on the topic "Impulse response functions"

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Potter, Simon M. "Nonlinear impulse response functions." Journal of Economic Dynamics and Control 24, no. 10 (September 2000): 1425–46. http://dx.doi.org/10.1016/s0165-1889(99)00013-5.

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Montes‐Rojas, Gabriel. "Multivariate Quantile Impulse Response Functions." Journal of Time Series Analysis 40, no. 5 (April 21, 2019): 739–52. http://dx.doi.org/10.1111/jtsa.12452.

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Tubiello, Francesco N., and Michael Oppenheimer. "Impulse-response functions and anthropogenic CO2." Geophysical Research Letters 22, no. 4 (February 15, 1995): 413–16. http://dx.doi.org/10.1029/94gl03276.

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Breitung, Jörg, and Philip Hans Franses. "Impulse response functions for periodic integration." Economics Letters 55, no. 1 (August 1997): 35–40. http://dx.doi.org/10.1016/s0165-1765(97)00047-5.

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Wickens, Michael R., and Roberto Motto. "Estimating shocks and impulse response functions." Journal of Applied Econometrics 16, no. 3 (2001): 371–87. http://dx.doi.org/10.1002/jae.617.

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Herlufsen, Henrik, and Svend Gade. "Errors involved in computing impulse response functions via frequency response functions." Mechanical Systems and Signal Processing 6, no. 3 (May 1992): 193–206. http://dx.doi.org/10.1016/0888-3270(92)90023-c.

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Naka, Atsuyuki, and David Tufte. "Examining impulse response functions in cointegrated systems." Applied Economics 29, no. 12 (December 1997): 1593–603. http://dx.doi.org/10.1080/00036849700000035.

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Plagborg-M{ø}ller, Mikkel. "Bayesian inference on structural impulse response functions." Quantitative Economics 10, no. 1 (2019): 145–84. http://dx.doi.org/10.3982/qe926.

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Kozachenko, Yu V., and I. V. Rozora. "Cross-correlogram estimators of impulse response functions." Theory of Probability and Mathematical Statistics 93 (February 7, 2017): 79–91. http://dx.doi.org/10.1090/tpms/995.

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Jun Li, Hong Hao, and XINGYU FAN. "Structural Damage Identification with Extracted Impulse Response Functions and Optimal Sensor Locations." Electronic Journal of Structural Engineering 14, no. 1 (January 1, 2015): 123–32. http://dx.doi.org/10.56748/ejse.141961.

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This paper presents a structural damage identification approach based on the time domain impulse response functions, which are extracted from the measured dynamic responses with the input available. The theoretical sensitivity of the impulse response function with respect to the system stiffness parameters considering the damping model is derived. The first-order sensitivity based model updating technique is performed for the iterative model updating. The initial structural finite element model and acceleration measurements from the damaged structure are required. Local damage is identified as a reduction in the elemental stiffness factors. The impulse response function sensitivity based optimal sensor placement strategy is employed to investigate the best sensor locations for identification. Numerical studies on a beam model are conducted to validate the proposed approach for the extraction of time domain impulse response functions and subsequent damage identification. The simulated damage can be identified effectively and accurately.
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Dissertations / Theses on the topic "Impulse response functions"

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Bishop, Carlton Delos. "Finite impulse response filter design using cosine series functions." Doctoral diss., University of Central Florida, 1988. http://digital.library.ucf.edu/cdm/ref/collection/RTD/id/43377.

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University of Central Florida College of Engineering Thesis
Window functions have been extensively used for the design of SAW filters. The classical truncated cosine series functions, such as the Hamming and Blackmann functions, are only a few of an infinite set of such functions. The derivation of this set of functions from orthonormal basis sets and the criteria for obtaining the constant coefficients of the functions are presented. These functions are very useful because of the closed-form expressions and their easily recognizable Fourier transform. Another approach to the design of Gaussian shaped filters having a desired sidelobe level using a 40 term cosine series will be presented as well. This approach is again non-iterative and a near equi-ripple sidelobe level filter could be achieved. A deconvolution technique will also be presented. this has the advantage of being non-iterative, simple and fast. This design method produces results comparable to the Dolph-Chebyshev technique.
Ph.D.
Doctorate
Electrical Engineering and Communication
Engineering
Electrical Engineering
41 p.
vii, 41 leaves, bound : ill. ; 28 cm.
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Schulte, Walter B. "The frequency response, impulse response, and transfer function of an ocean waveguide /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Jun%5FSchulte.pdf.

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Thesis (M.S. in Applied Science (Signal Processing))--Naval Postgraduate School, June 2004.
Thesis advisor(s): Lawrence J. Ziomek. Includes bibliographical references (p. 47). Also available online.
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Schulte, Walter B. III. "The frequency response, impulse response, and transfer function of an ocean waveguide." Thesis, Monterey, California. Naval Postgraduate School, 2004. http://hdl.handle.net/10945/1516.

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Approved for public release, distribution is unlimited
In this thesis, the ocean was modeled as a waveguide with an ideal pressure - release surface, and an ideal rigid bottom. The ocean waveguide was then treated as a linear, time - invariant, space - variant (TISV) filter or communication channel. The filter is time - invariant because no motion was modeled and because the properties of the ocean were assumed to be constant. The filter is space - variant because of the presence of the two boundaries, that is, the ocean surface and ocean bottom. This thesis investigates the ocean as a linear TISV filter by evaluating 1) the complex frequency response, 2) the impulse response, and 3) the transfer function of the ocean with respect to depth. It is shown that the TISV impulse response of the ocean contains information that can be used to help localize a target in range and whether the target is above or below the receiver. Computer simulation results were obtained by evaluating the three filter functions for several different test cases.
Ensign, United States Navy
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Mitchell, James. "Identification and estimation of impulse response functions in VAR models : analysing monetary shocks in the G7 economies." Thesis, University of Cambridge, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.621674.

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Jonéus, Paulina. "The more the merrier? On the performance of factor-augmented models." Thesis, Uppsala universitet, Statistiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-256760.

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Vector autoregression (VAR) models are widely used in an attempt to identify and measure the effect of monetary policy shocks on an economy and to forecast economic times series. However, the sparse information sets used in the VAR approach have been subject to criticism and in recent decades, the use of factor models as a means of dimension reduction has been a subject of greater focus. The method of summarizing information contained in a large set of macroeconomic time series by principal components, and use these as regressors in VAR models, has been pointed out as a potential solution to the problems of limited information and estimation of too many parameters. This paper combines the standard VAR methodology with dynamic factor analysis on Swedish data for two purposes, to assess the effects of monetary policy shocks and to examine the forecasting properties. Latent factors estimated by the principal components method are in this study found to contribute to a more coherent picture in line with economic theory, when examining monetary policy shocks to the Swedish economy. The factor-augmented models can on the other hand not be shown to increase the forecasting accuracy to a great extent compared to standard models.
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Pacifico, Antonio. "Heterogeneity, Commonality, and Interdependence in the Euro Area: Size and Dynamics of Fiscal Spillover Effects in Macroeconomic-Financial Linkages." Doctoral thesis, Luiss Guido Carli, 2014. http://hdl.handle.net/11393/287365.

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The paper develops empirical measures to estimate the strength and dymanic of fiscal spillover effects in the Euro Area. It moves for estimating a Bayesian VAR model of real and financial variables in order to examine in depth economic policy coordination and policy making, with a strong attention on the current financial crisis. Spillovers are estimated recursively with weakly-exogenous common factors. The aim of the project accounts for interdependencies across countries within the Euro Area and derives impulse response functions and conditional forecasts with the output of a Monte Carlo Marco Chain routine. However, the paper attempts to estimate the systemic contribution and cross-country transmission of unexpected shocks on the productivity in the Eurozone between June 1995 and March 2014. Overall, the positive impact on outputs in the financial dimension indicates the importance of coordinated fiscal actions among euro area members. Shocks overflow in a heterogeneous way across countries. Moreover, financial variables show higher amplification of spillover effects which can be seen as a result of increased interdependence between variables. Finally, the analysis is consistent and robust with the more recent literature on business cycles, which recognizes the importance of both group-specific and global factors in evaluating cross-country spillovers and responses to an unexpected shocks.
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Hathibelagal, Amithavikram Rugvedi. "The role of noise on rod signaling in the visual pathways." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/122230/1/Amithavikram%20Rugvedi_Hathibelagal_Thesis.pdf.

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Rod and cone photoreceptors in the human eye operate simultaneously under dim (mesopic) illuminations, however, it's not clear how their signals interact to regulate our visual experience. These photoreceptor interactions were investigated using a new methodology designed to isolate rod-mediated vision by separating it from the effects of cone photoreceptor-specific noise. The outcomes revealed a mechanism requiring cone-directed transmission of rod signals through the primary visual pathways that optimizes human vision under twilight illumination.
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Zsitva, Norbert. "Aproximace LTI SISO systémů s dopravním zpožděním pomocí zobecněných Laguerrových funkcí." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-376971.

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This final thesis deals with the approximation of time delay in time invariant systems. First, the generalized Laguerre functions and their characteristics are presented. After this, the approximation of the Dirac delta function with the help of these functions is shown. Also, the choice of the free parameters is discussed and the results are evaluated with the help of energy. In the final part of the thesis, the approximations of systems with generalized and simple Laguerre functions are compared.
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Hidayat, Egi. "On Identification of Biological Systems." Doctoral thesis, Uppsala universitet, Avdelningen för systemteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-215699.

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System identification finds nowadays application in various areas of biological research as a tool of empiric mathematical modeling and model individualization. A fundamental challenge of system identification in biology awaits in the form of response variability. Furthermore, biological systems tend to exhibit high degree of nonlinearity as well as significant time delays. This thesis covers system identification approaches developed for the applications within two particular biomedical fields: neuroscience and endocrinology. The first topic of the thesis is parameter estimation of the classical Elementary Motion Detector (EMD) model in insect vision. There are two important aspects to be taken care of in the identification approach, namely the nonlinear dynamics of the individual EMD and the spatially distributed structure of multiple detectors producing a measurable neural response. Hence, the suggested identification method is comprised of two consecutive stages addressing each of the above aspects. Furthermore, visual stimulus design for high spatial excitation order has been investigated. The second topic is parameter estimation of mathematical model for testosterone regulation in the human male. The main challenges of this application are in the unavailability of input signal measurements and the presence of an unknown pulsatile feedback in the system resulting in a highly nonlinear closed-loop dynamics. Semi-blind identification method has been developed based on a recently proposed pulse-modulated model of pulsatile endocrine regulation. The two system identification problems treated in the thesis bear some resemblance in the sense that both involve measured signals that can be seen as square-integrable functions of time. This property is handled by transforming the signals into the Laguerre domain, i.e. by equivalently representing the functions with their infinite Laguerre series.
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Subramaniam, Vijayaratnam. "AGRICULTURAL INTERSECTORAL LINKAGES AND THEIR CONTRIBUTION TO ECONOMIC DEVELOPMENT." UKnowledge, 2010. http://uknowledge.uky.edu/gradschool_diss/771.

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The transition from communism to capitalism at the end of the last century was one of the most significant events in the world economy since industrialization. During the latter part of the 1980s, people the Central and Eastern European countries and former Soviet Republics opted for a change from highly distorted command economic system to a market driven economic system. Privatization and liberalization policies led to major changes in the commodity mix and volume of agricultural production, consumption and trade. However, the changes and the impacts varied among countries as they followed different transition strategies. This study investigated the impact of market liberalization on the agricultural sector, as well as how the inter-sectoral linkages among the agricultural, industrial and service sectors responded in Poland, Romania, Bulgaria and Hungary using time-series analysis. The study estimated an econometric model that incorporates the linkages among the sectors using a Vector Error Correction Model. The procedure identified long-run and short-run relationships for each country. The results showed that a sector can have a negative linkage to other sectors in the short-run; however, that does not mean that the linkage will be negative in the long-run. Impulse response functions were constructed to determine how a system reacts to a shock in one of the endogenous variable in a model. The study explored how a shock in the agricultural sector was absorbed by the other sectors in the economy, and how a shock in the other sectors was absorbed by the agricultural sector, in all four countries. The responses reflected how the variables are interrelated within a country, and how the shocks are transferred through different linkages over a long period of time. Such dynamic analysis was used to identify the total impacts of different policy alternatives.
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Books on the topic "Impulse response functions"

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Potter, Simon M. Nonlinear impulse response functions. [New York, N.Y.]: Federal Reserve Bank of New York, 1999.

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Katzman, Brett. Optimal monetary impulse-response functions in a matching model. Cambridge, MA: National Bureau of Economic Research, 1999.

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Katzman, Brett. Optimal monetary impulse-response functions in a matching model. [Minneapolis, Minn.]: Federal Reserve Bank of Minneapolis, 1999.

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Vlaar, P. J. G. On the asymptotic distribution of impulse response functions with long run restrictions. Amsterdam: De Nederlandsche Bank, 1998.

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Hall, Alastair. Information criteria for impulse response function matching estimation of DSGE models. Atlanta, Ga.]: Federal Reserve Bank of Atlanta, 2007.

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Nowożyński, Krzysztof. New methods for parameterization and determination of transfer functions and impulse responses. Warszawa: Institute of Geophysics, Polish Academy of Sciences, 2005.

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Frey, Douglas, Rangaraj M. Rangayyan, and Victor Coelho. Acoustical Impulse Response Functions. Morgan & Claypool Publishers, 2013.

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Frey, Douglas, Rangaraj Rangayyan, and Victor Coelho. Acoustical Impulse Response Functions of Music Performance Halls. Springer International Publishing AG, 2013.

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Frey, Douglas, Rangaraj M. Rangayyan, and Victor Coelho. Acoustical Impulse Response Functions of Music Performance Halls. Morgan & Claypool Publishers, 2013.

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Acoustical Impulse Response Functions Of Music Performance Halls. Morgan & Claypool, 2013.

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Book chapters on the topic "Impulse response functions"

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van der Seijs, M. V., P. L. C. van der Valk, T. van der Horst, and D. J. Rixen. "Towards Dynamic Substructuring Using Measured Impulse Response Functions." In Dynamics of Coupled Structures, Volume 1, 73–82. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04501-6_6.

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Formenti, David L., David Ottman, and Mark H. Richardson. "Using Impulse Response Functions to Evaluate Baseball Bats." In Structural Dynamics, Volume 3, 1461–66. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9834-7_129.

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Rixen, Daniel J. "Substructuring using Impulse Response Functions for Impact Analysis." In Structural Dynamics, Volume 3, 637–46. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9834-7_56.

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Frey, Douglas, Rangaraj M. Rangayyan, and Victor Coelho. "Evaluation of Results." In Acoustical Impulse Response Functions of Music Performance Halls, 69–81. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-031-02565-5_6.

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Frey, Douglas, Rangaraj M. Rangayyan, and Victor Coelho. "Introduction." In Acoustical Impulse Response Functions of Music Performance Halls, 1–3. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-031-02565-5_1.

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Frey, Douglas, Rangaraj M. Rangayyan, and Victor Coelho. "Convolution and Filtering." In Acoustical Impulse Response Functions of Music Performance Halls, 37–55. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-031-02565-5_4.

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Frey, Douglas, Rangaraj M. Rangayyan, and Victor Coelho. "A Review of Acoustic Measurement Techniques." In Acoustical Impulse Response Functions of Music Performance Halls, 5–15. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-031-02565-5_2.

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Polasek, Wolfgang, and Ren Lei. "Generalized Impulse Response Functions for VAR-GARCH-M Models." In Data Analysis, 299–311. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-58250-9_24.

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Liu, J. M., Weidong D. Zhu, Q. H. Lu, and G. X. Ren. "An Efficient Iterative Algorithm for Accurately Calculating Impulse Response Functions." In Topics in Modal Analysis I, Volume 5, 113–25. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-2425-3_12.

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Pillonetto, Gianluigi, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, and Lennart Ljung. "Regularization in Reproducing Kernel Hilbert Spaces for Linear System Identification." In Regularized System Identification, 247–311. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95860-2_7.

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AbstractIn the previous parts of the book, we have studied how to handle linear system identification by using regularized least squares (ReLS) with finite-dimensional structures given, e.g., by finite impulse response (FIR) models. In this chapter, we cast this approach in the RKHS framework developed in the previous chapter. We show that ReLS with quadratic penalties can be reformulated as a function estimation problem in the finite-dimensional RKHS induced by the regularization matrix. This leads to a new paradigm for linear system identification that provides also new insights and regularization tools to handle infinite-dimensional problems, involving, e.g., IIR and continuous-time models. For all this class of problems, we will see that the representer theorem ensures that the regularized impulse response is a linear and finite combination of basis functions given by the convolution between the system input and the kernel sections. We then consider the issue of kernel estimation and introduce several tuning methods that have close connections with those related to the regularization matrix discussed in Chap. 10.1007/978-3-030-95860-2_3. Finally, we introduce the notion of stable kernels, that induce RKHSs containing only absolutely summable impulse responses and study minimax properties of regularized impulse response estimation.
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Conference papers on the topic "Impulse response functions"

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Xu, Y. F., and W. D. Zhu. "Efficient and Accurate Calculation of Discrete Frequency Response Functions and Impulse Response Functions." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47779.

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Modal properties of a structure can be identified by experimental modal analysis (EMA). Discrete frequency response functions (FRFs) and impulse response functions (IRFs) between responses and excitation are bases for EMA. In calculation of a discrete FRF, discrete Fourier transform (DFT) is applied to both response and excitation data series, and a transformed data series in DFT is virtually extended to have an infinite length and be periodic with a period equal to the length of the series; the resulting periodicity can be physically incorrect in some cases, which depends on an excitation technique used. There are various excitation techniques in EMA, and periodic extension in DFT for EMA using periodic random and burst random excitation is physically correct. However, EMA using periodic random excitation needs a relatively long excitation time to have responses to be steady-state and periodic, and EMA using burst random excitation needs a long sampling period for responses to decay to zero, which can result in relatively long response and excitation data series and necessitate a large number of spectral lines for associated DFTs, especially for a high sampling frequency. An efficient and accurate methodology for calculating discrete FRFs and IRFs is proposed here, by which fewer spectral lines are needed and accuracies of resulting FRFs and IRFs can be maintained. The relationship between an IRF from the proposed methodology and that from the least-squares method is shown. A new coherence function that can evaluate qualities of FRFs and IRFs from the proposed methodology in the frequency domain is used, from which meaningful coherence function values can be obtained even with response and excitation series of one sampling period. Based on the new coherence function, a fitting index is used to evaluate overall qualities of the FRFs and IRFs. The proposed methodology was numerically and experimentally applied to a two-degree-of-freedom mass-spring-damper system and an aluminum plate to estimate their FRFs, respectively. In the numerical example, FRFs from the proposed methodology agree well with the theoretical one; in the experimental example, a FRF from the proposed methodology with a random impact series agreed well with the benchmark one from a single impact test.
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de Moraes, Francisco José Vicente, and Hans Ingo Weber. "Deconvolution by Wavelets for Extracting Impulse Response Functions." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/vib-4136.

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Abstract The extraction of Impulse Response Functions (Markov parameters) is a major feature on dynamic systems identification. The convolution integral is a most important input-output relationship for linear systems. Existing methods for calculating the IRFs from the convolution integral are carried out in time or frequency domains. The orthonormal wavelet transform consists on decomposing a given signal on mutually orthogonal local basis functions. It is possible to make use of the orthogonal properties of wavelets for calculating the convolution integral. The wavelet domain preserves the temporal nature of data and, simultaneously, different frequency bands are isolated by the multiresolution analysis, without loosing the orthogonality of the wavelet terms. Algorithm matrices are well conditioned and the method is not very sensitive to output noise. Simulated and experimental analysis are performed and results presented.
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Meyer-Kahlen, Nils, and Sebastian J. Schlecht. "Blind Directional Room Impulse Response Parameterization from Relative Transfer Functions." In 2022 International Workshop on Acoustic Signal Enhancement (IWAENC). IEEE, 2022. http://dx.doi.org/10.1109/iwaenc53105.2022.9914706.

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Hermanns, Anno, Diana M. Lininger, Claus Benkert, and Dana Z. Anderson. "Impulse response of two-beam coupling amplifiers." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/oam.1990.thmm1.

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We derive the impulse-response function of two-beam coupling amplification in the linear regime. Beam loss from absorption and beam fanning are also included. For gains greater than e4, the impulse time response has a peak. The location of the peak in time and its height are functions of the gain, loss, and time constant. Analytic results are obtained for the case of zero-signal beam loss. The case that includes loss from absorption and beam fanning is somewhat more complex. We have made measurements on barium titanate, both in the time domain and in the frequency domain, to verify the theoretical predictions. Whereas measures of the grating time constant are often focused on the material aspects, the impulse time response provides a good and consistent measure of the time constant that is relevant to the optical circuit performance of the two-beam coupling amplifier.
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Dahl, Tobias, Bjorn Syversrud, and Sverre Holm. "Source Enhancement and Suppression with Binaural Head Related Impulse Response Functions." In Proceedings of the 7th Nordic Signal Processing Symposium - NORSIG 2006. IEEE, 2006. http://dx.doi.org/10.1109/norsig.2006.275290.

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ribeiro, sidney, Gabriela Oliveira, and Gilmar Guimaraes. "ANALITYCAL IMPULSE RESPONSE IDENTIFICATION FOR A MOVING HEAT SOURCE PROBLEM USING GREEN’S FUNCTIONS." In 25th International Congress of Mechanical Engineering. ABCM, 2019. http://dx.doi.org/10.26678/abcm.cobem2019.cob2019-1388.

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Tuma, Martin, and Pavel Jura. "Impulse response approximation of dead time LTI SISO systems using generalized Laguerre functions." In CENTRAL EUROPEAN SYMPOSIUM ON THERMOPHYSICS 2019 (CEST). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5114317.

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Robertson, A. N., K. C. Park, and K. F. Alvin. "Extraction of Impulse Response Data via Wavelet Transform for Structural System Identification." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0379.

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Abstract This paper presents a wavelet transform-based method of extracting the impulse response characteristics from the measured disturbances and response histories of linear structural dynamic systems. The proposed method appears to have alleviated some of the most pronounced deleterious aspects of both the time-domain methods that suffer from the matrix ill-conditioning of the input signals and FFT-based methods that must cope with erraneous auto and cross-correlation functions, unless the input signals are rich enough in frequency content The method is found to be effective in capturing very low frequency response components and also far insensitive to output noises than existing methods. The present method has been applied to a variety of problems, which show significant improvements over existing impulse response function extraction methods, especially for limited harmonic excitations and input/output data contaminated with noises.
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Miller, Richard T., and Christopher W. Tyler. "Paley-Wiener revisited." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1988. http://dx.doi.org/10.1364/oam.1988.mb1.

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The Paley-Wiener criterion is used to define the universe of functions in the frequency domain for which the impulse responses are causal, i.e., physically realizable in the time domain. By methods similar to those of Paley and Wiener, we prove a kindred result. Specifically, we find a family of functions K k [ω, α(ω)] so that given a transfer function amplitude αω, if ∫ − ∞ ∞ K k d ω is finite for some k, there is a .(highly nonunique) transfer phase θ k (ω) for which the impulse response I k (t) corresponding to α exp(θ k ), is of the order of exp(kt). A striking corollary is that, if transfer amplitude decays as exp(−|ω|), for any finite γ > 0, then, for any k> 0, there are phase choices for which the corresponding impulse responses are of the order of exp(kt). After normalizing and for large k, these I k (t) will for practical purposes vanish on the negative taxis.
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10

Wang, Yang, K. F. Brennan, M. C. Teich, and B. E. A. Saleh. "Theoretical studies of the temporal response of the doped quantum well avalanche photodiode." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1988. http://dx.doi.org/10.1364/oam.1988.thaa3.

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We present calculations of the temporal response of a doped quantum well avalanche photodiode made from the GaAs/AlGaAs material system. The calculations are based on both an ensemble Monte Carlo method and an analytic formulation based on the direct calculation of the impulse response function in terms of the density functions for the transit times. These analyses are applied to a doped quantum well structure in which single-carrier-initiated double-carrier multiplication conditions occur. The results show that the envelope of the impulse response function decays rapidly due to the negligible hole impact ionization rate, resulting in large-bandwidth operation of the device. The standard deviation of the impulse response function which results from both randomness in the gain and in the birth times is also presented. Based on these calculations, it is found that in APDs in which the hole ionization probability is small but not identically zero, that the bandwidth can still be characterized by the simple analytical expression, B = 1/2π [1/m(τ e + τ h )], where m is the number of stages present in the device and τ e and τ h are the electron and hole transit times in each stage, respectively.
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Reports on the topic "Impulse response functions"

1

Katzman, Brett, John Kennan, and Neil Wallace. Optimal Monetary Impulse-Response Functions in a Matching Model. Cambridge, MA: National Bureau of Economic Research, November 1999. http://dx.doi.org/10.3386/w7425.

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2

Rahmani, Mehran, and Manan Naik. Structural Identification and Damage Detection in Bridges using Wave Method and Uniform Shear Beam Models: A Feasibility Study. Mineta Transportation Institute, February 2021. http://dx.doi.org/10.31979/mti.2021.1934.

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This report presents a wave method to be used for the structural identification and damage detection of structural components in bridges, e.g., bridge piers. This method has proven to be promising when applied to real structures and large amplitude responses in buildings (e.g., mid-rise and high-rise buildings). This study is the first application of the method to damaged bridge structures. The bridge identification was performed using wave propagation in a simple uniform shear beam model. The method identifies a wave velocity for the structure by fitting an equivalent uniform shear beam model to the impulse response functions of the recorded earthquake response. The structural damage is detected by measuring changes in the identified velocities from one damaging event to another. The method uses the acceleration response recorded in the structure to detect damage. In this study, the acceleration response from a shake-table four-span bridge tested to failure was used. Pairs of sensors were identified to represent a specific wave passage in the bridge. Wave velocities were identified for several sensor pairs and various shaking intensities are reported; further, actual observed damage in the bridge was compared with the detected reductions in the identified velocities. The results show that the identified shear wave velocities presented a decreasing trend as the shaking intensity was increased, and the average percentage reduction in the velocities was consistent with the overall observed damage in the bridge. However, there was no clear correlation between a specific wave passage and the observed reduction in the velocities. This indicates that the uniform shear beam model was too simple to localize the damage in the bridge. Instead, it provides a proxy for the overall extent of change in the response due to damage.
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3

Rahmani, Mehran, Xintong Ji, and Sovann Reach Kiet. Damage Detection and Damage Localization in Bridges with Low-Density Instrumentations Using the Wave-Method: Application to a Shake-Table Tested Bridge. Mineta Transportation Institute, September 2022. http://dx.doi.org/10.31979/mti.2022.2033.

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This study presents a major development to the wave method, a methodology used for structural identification and monitoring. The research team tested the method for use in structural damage detection and damage localization in bridges, the latter being a challenging task. The main goal was to assess capability of the improved method by applying it to a shake-table-tested prototype bridge with sparse instrumentation. The bridge was a 4-span reinforced concrete structure comprising two columns at each bent (6 columns total) and a flat slab. It was tested to failure using seven biaxial excitations at its base. Availability of a robust and verified method, which can work with sparse recording stations, can be valuable for detecting damage in bridges soon after an earthquake. The proposed method in this study includes estimating the shear (cS) and the longitudinal (cL) wave velocities by fitting an equivalent uniform Timoshenko beam model in impulse response functions of the recorded acceleration response. The identification algorithm is enhanced by adding the model’s damping ratio to the unknown parameters, as well as performing the identification for a range of initial values to avoid early convergence to a local minimum. Finally, the research team detect damage in the bridge columns by monitoring trends in the identified shear wave velocities from one damaging event to another. A comprehensive comparison between the reductions in shear wave velocities and the actual observed damages in the bridge columns is presented. The results revealed that the reduction of cS is generally consistent with the observed distribution and severity of damage during each biaxial motion. At bents 1 and 3, cS is consistently reduced with the progression of damage. The trends correctly detected the onset of damage at bent 1 during biaxial 3, and damage in bent 3 during biaxial 4. The most significant reduction was caused by the last two biaxial motions in bents 1 and 3, also consistent with the surveyed damage. In bent 2 (middle bent), the reduction trend in cS was relatively minor, correctly showing minor damage at this bent. Based on these findings, the team concluded that the enhanced wave method presented in this study was capable of detecting damage in the bridge and identifying the location of the most severe damage. The proposed methodology is a fast and inexpensive tool for real-time or near real-time damage detection and localization in similar bridges, especially those with sparsely deployed accelerometers.
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4

Kott, Phillip S. The Role of Weights in Regression Modeling and Imputation. RTI Press, April 2022. http://dx.doi.org/10.3768/rtipress.2022.mr.0047.2203.

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When fitting observations from a complex survey, the standard regression model assumes that the expected value of the difference between the dependent variable and its model-based prediction is zero, regardless of the values of the explanatory variables. A rarely failing extended regression model assumes only that the model error is uncorrelated with the model’s explanatory variables. When the standard model holds, it is possible to create alternative analysis weights that retain the consistency of the model-parameter estimates while increasing their efficiency by scaling the inverse-probability weights by an appropriately chosen function of the explanatory variables. When a regression model is used to impute for missing item values in a complex survey and when item missingness is a function of the explanatory variables of the regression model and not the item value itself, near unbiasedness of an estimated item mean requires that either the standard regression model for the item in the population holds or the analysis weights incorporate a correctly specified and consistently estimated probability of item response. By estimating the parameters of the probability of item response with a calibration equation, one can sometimes account for item missingness that is (partially) a function of the item value itself.
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5

Read, Matthew. Estimating the Effects of Monetary Policy in Australia Using Sign-restricted Structural Vector Autoregressions. Reserve Bank of Australia, January 2023. http://dx.doi.org/10.47688/rdp2022-09.

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Existing estimates of the macroeconomic effects of Australian monetary policy tend to be based on strong, potentially contentious, assumptions. I estimate these effects under weaker assumptions. Specifically, I estimate a structural vector autoregression identified using a variety of sign restrictions, including restrictions on impulse responses to a monetary policy shock, the monetary policy reaction function, and the relationship between the monetary policy shock and a proxy for this shock. I use an approach to Bayesian inference that accounts for the problem of posterior sensitivity to the choice of prior that arises in this setting, which turns out to be important. Some sets of identifying restrictions are not particularly informative about the effects of monetary policy. However, combining the restrictions allows us to draw some useful inferences. There is robust evidence that an increase in the cash rate lowers output and consumer prices at horizons beyond a year or so. The results are consistent with the macroeconomic effects of a 100 basis point increase in the cash rate lying towards the upper end of the range of existing estimates.
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