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Locally weighted total least-squares variance component estimation for modeling urban air pollution
Environmental Monitoring and Assessment, 2022Land use regression (LUR) models are one of the standard methods for estimating air pollution concentration in urban areas. These models are usually low accurate due to inappropriate stochastic models (weight matrix). Furthermore, the measurement or modeling of dependent and independent variables used in LUR models is affected by various errors, which ...
Arezoo Mokhtari, Behnam Tashayo
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Parameter-weighed performance in total least squares lterativ solutions
Mathematical Modelling of Systems, 1995The parameter-weighted square of the error matrix E is used as a basis for total least squares optimization, i.e., is utilized either instead of or in supplementation to it. the multiplicity of the solution and computational aspects are presented in concise form, in comparison to the conventional methods of total least sqrares, model least squares and ...
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Survey Review, 2018
The partial errors-in-variables (PEIV) model is an structured errors-in-variables (SEIV) model reformulated by collecting all the random elements of the coefficient matrix into an auxiliary random error vector to better treat the case where the ...
Jie Han +3 more
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The partial errors-in-variables (PEIV) model is an structured errors-in-variables (SEIV) model reformulated by collecting all the random elements of the coefficient matrix into an auxiliary random error vector to better treat the case where the ...
Jie Han +3 more
semanticscholar +1 more source
Weighted total least squares RAIM algorithm using carrier phase measurements
2012 6th ESA Workshop on Satellite Navigation Technologies (Navitec 2012) & European Workshop on GNSS Signals and Signal Processing, 2012This paper proposes a weighted total least squares approach based on both pseudorange and carrier phase measurements. The paper makes use of the weighted total least squares solution to solve the global positioning system (GPS) navigation equation determining the user position.
Filipe Salgueiro +3 more
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Total least squares linear prediction for frequency estimation with frequency weighting
1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002This paper presents a general total least squares (GTLS) solution for linear prediction to estimate closely spaced sinusoids. It is found that the TLS prediction error is not a good criterion to provide a robust solution. In this paper, a frequency weighted prediction error approach is introduced.
null Shu Hung Leung +2 more
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Frequency weighted generalized total least squares linear prediction for frequency estimation
Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), 2002This paper presents a frequency weighted generalized total least squares linear prediction for estimating closely spaced sinusoids. In this method, the received data is first processed by a pole-zero prefilter and then a generalized total least squares linear prediction is applied to the prefiltered signal.
null Shu Hung Leung +2 more
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GEOINFORMATICS, 2018
Weighted total least-squares for condition equation (WTLSC) is a method to solve the problem that random errors exist in both observation vector and coefficient matrix of condition equation.
Jie Han +3 more
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Weighted total least-squares for condition equation (WTLSC) is a method to solve the problem that random errors exist in both observation vector and coefficient matrix of condition equation.
Jie Han +3 more
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Recursive approximate weighted total least squares estimation of battery cell total capacity
Journal of Power Sources, 2011Abstract Battery cell total capacity refers to the total amount of charge that can be extracted from a fully charged cell. Knowledge of the present total capacity value is important to being able to calculate the maximum energy storage capability of a battery pack, the remaining energy in a battery pack, and as an indicator of the battery’s state of ...
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Weighted and structured sparse total least-squares for perturbed compressive sampling
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data vector as well as in the regression matrix. Weighted and structured generalizations of the TLS approach are further motivated in several signal processing and system ...
Hao Zhu +2 more
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