estimation errors
Impact of space-time covariance estimation errors on a parahermitian matrix EVD
... of estimation errors in the sample space-time covariance matrix on its parahermitian matrix eigenvalue ...the estimation error in the space-time covariance matrix, while the perturbation of ...
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The role of accrual estimation errors to determine accrual and earnings quality
... The accruals quality and earnings process advocates that the size of estimation errors is related to business systematically. Following the Dechow and Dichev (2002) model, the result of this paper shows ...
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Impact of Channel Estimation Errors on Multiuser Detection via the Replica Method
... known to the receiver, thus making the filter unmatched for the MAI. Hence, the analysis in [12] may overestimate the system performance since such power estimation errors are not considered there. Thus we ...
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Novel energy harvesting AF relaying schemes with channel estimation errors
... data packets with channel estimation, EH and information decoding. In the previous works, either the use of EH in information decoding or the use of EH in channel estima- tion were considered but not both. ...
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Reducing Approximation and Estimation Errors for Chinese Lexical Processing with Heterogeneous Annotations
... of errors in statistical NLP, ...the estimation error that is due to having only finite training ...the estimation error can be reduced by reason of the increase of re- liable training ...
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Matching and fusing signal-estimation errors for similarity-based pattern classification
... The unknown signal is assigned to class i * if the average distortion measure of its LPC feature vector Xm and the LPC feature codebook C i is minimum, that is i* = argrninDxm, Ci , 52 [r] ...
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A novel adaptive unscented kalman filter attitude estimation and control system for a 3U nanosatellite
... The estimation of the new AUKF was faster and had better ...drift estimation using the reduced-set AUKF and the existing AUKF showed the existing AUKF estimation errors were larger than that ...
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Causes of Change Orders in the Jordanian Construction Industry
... design errors, incomplete de- signs, estimation errors and inconsistencies between contract ...Design errors are found to be the main cause could be explain this category with the highest load ...
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Mapping the origins of time: Scalar errors in infant time estimation
... adults, estimation errors grow linearly with the length of the interval, much faster than would be expected of a clock-like ...(b) estimation errors grew linearly with the length of the ...
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An extended ANFIS architecture and its learning properties for type 1 and interval type 2 models
... training errors by IT2 ANFIS are generally larger than the corre- sponding estimation ...the estimation errors are least square errors optimised by the LSE method for the selected ...
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Evaluation of the Surface Energy Balance System (SEBS) applied to ASTER imagery with flux measurements at the SPARC 2004 site (Barrax, Spain)
... Abstract. Accurate quantification of the amount and spatial variation of evapotranspiration is important in a wide range of disciplines. Remote sensing based surface energy balance models have been developed to estimate ...
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Vol 3, No 12 (2015)
... rms estimation errors of ...measurement errors respectively in this scenario (with the emitter more than 15 km away) are certainly a useful ...
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Sparse representation discretization errors in multi-sensor radar target motion estimation
... discretization errors have been studied in this work as a separate source of impairments in an ideal Compressed Sens- ing ...These errors, which occur due to discretization of the solution domain, are a ...
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On the Optimization Problem of Stochastic Observations of Random Walks
... The method discussed in the paper is based on the semimartingale approach developed for the random walks of a general type in [2]. This approach was shown to be useful for the limit theorems and for the problems of ...
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Adaptive power transformer lifetime predictions through machine learning and uncertainty modelling in nuclear power plants
... 4) Long Short Term Memory (LSTM): Is a type of recurrent neural network which can capture correlations among signals which involve long or short term time lags [31]. An LSTM model is comprised of one input layer, one or ...
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Analysis of Preamble and Synchronization Errors Estimation in Wireless OFDM Communications
... of estimation and correction was put ...precise estimation that left the system with negligible ...offset estimation, the frequency offset is not constant (as simulated in section ...
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The Influence of Residual Timing Errors on Channel Estimation in OFDM System
... Influence of Residual Timing Error for Common Channel Estimation Assume that the channel frequency response on the pilot subcarriers can be represented as Hp[k].. After obtaining the cha[r] ...
5
Estimation of Standard Errors of the Characteristic Roots of Dynamic Econometric Models
... The authors of both papers rely upon the availability of an estimated covariance matrix of the derived reduced form coefficients.This matrix is generallynot available as a part of simult[r] ...
7
Fet Small Signal Modelling Based on the Dst and Mel Frequency Cepstral Coefficients
... Abstract—In this paper, a new technique is proposed for field effect transistor (FET) small-signal modeling using neural networks. This technique is based on the combination of the Mel frequency cepstral coefficients ...
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Least squares estimation for GARCH (1,1) model with heavy tailed errors
... measure is based on the q − th absolute moment (q ≥ 1) of the fitted residu- als. For example, for q = 1 the least absolute deviations estimator (LADE) was proposed by Peng and Yao (2003). They showed that the LADE is ...
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