Results 31 to 40 of about 606,425 (294)
Study of harmonics detection based on parametric spectral estimation method
Gong-kuang zidonghua, 2016 Three parametric spectral estimation methods including Yule Walker, Burg and Covariance were studied and an improved Covariance method was proposed based on analysis of AR model.
ZHANG Tingzhong +3 more
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Two-step simulation of piezoelectric properties of porous PZT according to porosity
Journal of Asian Ceramic Societies, 2023 Porous piezoelectric materials have been widely used in hydrophone applications owing to their excellent hydrostatic charge constant (dh) and voltage constant (gh).
Il-Gok Hong +4 more
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An Iterative Receiver for OFDM With Sparsity-Based Parametric Channel Estimation [PDF]
, 2018 In this work we design a receiver that iteratively passes soft information between the channel estimation and data decoding stages. The receiver incorporates sparsity-based parametric channel estimation.
Badiu, Mihai-Alin +3 more
core +2 more sources
IEEE Access, 2021 Autonomous Surface Vessels (ASVs) are reliable and robust vehicles. They perform autonomous missions in lakes, rivers and even open waters. Those are dangerous environments that requires precise and secure navigation.
Accacio Ferreira Dos Santos Neto +4 more
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Semi-parametric regression: Efficiency gains from modeling the nonparametric part
, 2011 It is widely admitted that structured nonparametric modeling that circumvents the curse of dimensionality is important in nonparametric estimation. In this paper we show that the same holds for semi-parametric estimation.
Mammen, Enno +2 more
core +1 more source
Nonparametric IV estimation of shape-invariant Engel curves [PDF]
, 2003 This paper concerns the identification and estimation of a shape-invariant Engel curve system with endogenous total expenditure. The shape-invariant specification involves a common shift parameter for each demographic group in a pooled system of Engel
Blundell, R., Chen, X., Kristensen, D.
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Użyteczność modeli parametrycznych i sztucznych sieci neuronowych w prognozowaniu kosztów produkcji [PDF]
Zeszyty Teoretyczne Rachunkowości, 2017 Użyteczność modeli parametrycznych i sztucznych sieci neuronowych w prognozowaniu kosztów produkcji The aim of the paper is to analyze parametric models and artificial neural networks in terms of their suitability as estimation tools of the production ...
Zbigniew Leszczyński, Tomasz Jasiński
doaj +1 more source
IEEE Access, 2021 The nonlinearity behaviour of magnetorheological fluid (MRF) can be described using a number of established models such as Bingham and Modified Bouc-Wen models.
Asan G. A. Muthalif +3 more
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Semi-parametric estimation of shifts
, 2007 We observe a large number of functions differing from each other only by a translation parameter. While the main pattern is unknown, we propose to estimate the shift parameters using $M$-estimators. Fourier transform enables to transform this statistical
Gamboa, Fabrice +2 more
core +3 more sources
Sparse semi-parametric chirp estimation [PDF]
2014 48th Asilomar Conference on Signals, Systems and Computers, 2014 In this work, we present a method for estimating the parameters detailing an unknown number of linear chirp signals, using an iterative sparse reconstruction framework. The proposed method is initiated by a re-weighted Lasso approach, and then use an iterative relaxation-based refining step to allow for high resolution estimates.
Swärd, Johan +3 more
openaire +2 more sources