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System Identification: Impulse Response Functions
Journal of the Engineering Mechanics Division, 1978An approach is presented for estimating the impulse response function of a multidegree-of-freedom structural system. The approach discretizes the time axis into contiguous time segments and estimates the structure's impulse response function for each time segment.
Morteza A.M. Torkamani, Gary C. Hart
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An impulse response function for a fuzzy structure
The Journal of the Acoustical Society of America, 1995The authors are employing some of their previous works in structural acoustics to define, investigate, and interpret the response behaviors of so called fuzzy structures. A formalism is developed to describe the response behavior of a master structure to which an ensemble of appendages are attached.
G. Maidanik, J. Dickey
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2008
Sims (1980) questioned the way classical simultaneous equations models were specified and identified. He argued in particular that the exogeneity assumptions for some of the variables are often problematic. As an alternative he advocated the use of vector autoregressive (VAR) models for macroeconometric analysis. These models have the form where y t = (
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Sims (1980) questioned the way classical simultaneous equations models were specified and identified. He argued in particular that the exogeneity assumptions for some of the variables are often problematic. As an alternative he advocated the use of vector autoregressive (VAR) models for macroeconometric analysis. These models have the form where y t = (
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Estimating shocks and impulse response functions
Journal of Applied Econometrics, 2001AbstractThis paper examines the issue of how to identify the shocks in a cointegrated VAR when the following assumptions are made: the variables can be classified as endogenous or exogenous, there are as many cointegrating relations as endogenous variables, the cointegrating vectors are identified and they contain at least one exogenous variable. It is
Wickens, M.R., Motto, R.
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Continuous Function Modeling of Head-Related Impulse Response
IEEE Signal Processing Letters, 2015A continuous function model is developed for efficient head-related impulse response (HRIR) representation. In this model, HRIR is modeled as the response of an IIR filter via common factor decomposition analysis, where HRIRs at the same azimuth but different elevations share the same IIR pole part and HRIRs at the same elevation but different ...
Zhixin Wang, Cheung-Fat Chan
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The Impulse, Frequency Response and Transfer Functions
International Journal of Electrical Engineering & Education, 1984Three mathematical characterisations of linear systems are discussed with the aim of clarifying their interrelations and role in predicting responses to given stimuli.
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Properties of impulsive responses and Green's functions
IRE Transactions on Circuit Theory, 1955THE INVESTIGATION of general communication systems usually starts by considering a black box, N, with an input u and an output v (see Fig. 1). We express the relation between u and v symbolically by the equation $v = N_u. \eqno{\hbox{(1)}}$ (1)
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Small-sample Confidence Intervals for Impulse Response Functions [PDF]
Review of Economics and Statistics, 1998 Bias-corrected bootstrap confidence intervals explicitly account for the bias and skewness of the small-sample distribution of the impulse response estimator, while retaining asymptotic validity in stationary autoregressions. Monte Carlo simulations for a wide range of bivariate models show that in small samples bias-corrected bootstrap intervals tend ...
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Response of a fuzzy structure in terms of the impulse response function
The Journal of the Acoustical Society of America, 1995A masterstructure is defined in terms of a known and proper impulse response function g∞(x‖x’,ω), where x is the spatial variable that spans the master structure and ω is the frequency variable. The response v∞(x,ω) of the master structure to the external drive pe(x,ω) is stated in the form v∞(x,ω)=∫g∞(x‖x’, ω)dx’ pe(x’,ω), where dx is an elemental ...
G. Maidanik, J. Dickey
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The optimized estimation of impulse response function using PSO
2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010A new estimation algorithm of impulse response function is put forward using PSO in this paper. Takes all points of impulse response function as one particle, and searches the best particle with PSO iterations. The evaluation function of PSO iterations is designed to satisfy the convolution equation of the linear vibration system, which requires the ...
Yu Zhou +4 more
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