ESTIMATION OF IMPULSE RESPONSE FUNCTION BY ITERATIVELY APPLIED MULTIPLE REGRESSION
نویسندگان
چکیده
منابع مشابه
The use of Impulse Response Function for Modal Parameter Estimation
This article discusses the errors that are introduced when calculating the impulse response function from the frequency response function using DFT/ FFT analysis technique. The impulse response function is used in many applications of system analysis where a description of the system characteristics is preferred in the time domain rather than in the frequency domain. The case where the system i...
متن کاملWhich Impulse Response Function?
This paper compares standard and local projection techniques in the production of impulse response functions both theoretically and empirically. Through careful selection of a structural decomposition, the comparison continues to an application of US data to the textbook ISLM model. It is argued that local projection techniques offer a remedy to the bias of the conventional method especially at...
متن کاملEstimation of Channel Impulse Response by Deconvolution Method
This paper describes deconvolution method for estimation of channel impulse response. Radio channels in radio system can be completely described by channel impulse response. We can investigate radio channel type from channel impulse response. In environment between transmitter and receiver there exist two main propragation components, Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS), which are ...
متن کاملNonparametric Estimation of Generalized Impulse Response Functions
We derive a local linear estimator of generalized impulse response (GIR) functions for nonlinear conditional heteroskedastic autoregressive processes and show its asymptotic normality. We suggest a plug-in bandwidth based on the derived asymptotically optimal bandwidth. A local linear estimator for the conditional variance function is proposed which has simpler bias than the standard estimator....
متن کاملRoom impulse response estimation by iterative weighted L1-norm
This paper presents a novel method to solve for the challenging problem of acoustic Room Impulse Response estimation (RIR). The approach formulates the RIR estimation as a Blind Channel Identification (BCI) problem and it exploits sparsity and non-negativity priors to reduce illposedness and to increase robustness of the solution to noise. This provides an iterative procedure based on a reweigh...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Global Journal of Mathematical Sciences
سال: 2004
ISSN: 1596-6208
DOI: 10.4314/gjmas.v3i1.21350