The Experts below are selected from a list of 45 Experts worldwide ranked by ideXlab platform
D B H Tay - One of the best experts on this subject based on the ideXlab platform.
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families of Binary Coefficient biorthogonal wavelet filters
Electronics Letters, 2000Co-Authors: D B H TayAbstract:Two families of Binary Coefficient biorthogonal wavelet filters are presented. Binary Coefficient filters can be implemented efficiently without using any multipliers. By adjusting the free parameter, filters with different characteristics can be easily obtained while guaranteeing that the Coefficients will always be Binary.
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families of Binary Coefficient biorthogonal wavelet filters
International Symposium on Circuits and Systems, 2000Co-Authors: D B H TayAbstract:Two families of Binary Coefficient biorthogonal wavelet filters are presented in this paper. A Binary (or dyadic) Coefficient is an integer divided by a power of 2. The filters can be implemented efficiently without using any multipliers. The technique that is used to obtain the filters, hinges on the idea of freeing some of the zeros of the Lagrange Halfband Filter (LHBF) to allow some degree of freedom in choosing the Coefficients. The first family is the 9/7 pairs and the second is the 6/10 pairs. Filters within the family are parametrized in a simple manner by a free parameter. By adjusting the free parameter, filters with different characteristics can be easily obtained while guaranteeing that the Coefficients will always be Binary.
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ISCAS - Families of Binary Coefficient biorthogonal wavelet filters
2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353), 1Co-Authors: D B H TayAbstract:Two families of Binary Coefficient biorthogonal wavelet filters are presented in this paper. A Binary (or dyadic) Coefficient is an integer divided by a power of 2. The filters can be implemented efficiently without using any multipliers. The technique that is used to obtain the filters, hinges on the idea of freeing some of the zeros of the Lagrange Halfband Filter (LHBF) to allow some degree of freedom in choosing the Coefficients. The first family is the 9/7 pairs and the second is the 6/10 pairs. Filters within the family are parametrized in a simple manner by a free parameter. By adjusting the free parameter, filters with different characteristics can be easily obtained while guaranteeing that the Coefficients will always be Binary.
Mona J. Mølnvik - One of the best experts on this subject based on the ideXlab platform.
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Thermodynamic Models for Calculating Mutual Solubilities in H2O–CO2–CH4 Mixtures
Chemical Engineering Research and Design, 2006Co-Authors: A. Austegard, Even Solbraa, G. De Koeijer, Mona J. MølnvikAbstract:One of the measures for reducing global CO2 emissions is to capture CO2 and store it safely in geological formations. Safe and effective CO2 management requires reliable tools for calculate accurately the properties of both pure CO2 and CO2 in mixtures. If the default models and parameters of commercial flow sheeting tools are used when predicting the solubility of water in CO2 and CO2 in mixtures may not always result in satisfactory results. Having in mind the need for reliable operation of the processes along the CO2 capture, transport and injection chain, reliable tools are cardinal. The purpose of the present work has been to establish reliable model parameters by selecting equation of state (EOS) models for evaluation, develop a database of reliable experimental data on solubility of H2O, CO2 and CH4 based on data collected from literature, use the data to establish and suggest model parameters based on the database, and test and document the ability of the various EOS models to predict the solubility of H2O in CO2 or a mixture of CO2 and CH4. Experimental data on solubility of H2O, CO2 and CH4 were collected from literature and compared with a model based on the rest of the experimental data in order to evaluate the quality of the data. The second order SRK-HV (SRK-Huron Vidal) model with six parameters was used as model for evaluating the experimental data. The models SRK-VdW (Soave Redlich Kwong, Van der Waals mixing rules), SRK-HV (SRK-Huron Vidal) and the CPA (Cubic Plus Association) was evaluated. Based on the data for the mutual solubilities of H2O, CO2 and CH4, new model parameters were adapted for the SRK-HV, and the CPA models. Solubility of H2O in CO2 and H2O in the CO2–CH4 mixture was emphasized. The second order SRK-HV model produced acceptable results with deviation from 3% to 9% between experiments and the model. The CPA model was less accurate, producing results with deviation from 9% to 35% between experiments and the model. The SRK-VdW model gave two different Binary Coefficients, one for solubility of water in liquid CO2 and another for solubility of CO2 in water. That gave same deviation as the SRK-HV model, (typically 7% for H2O in CO2 but 93% for CO2 in water, or 4% for CO2 in water but 390% for H2O in CO2 with another Binary Coefficient). The SRK-VdW is not indented for use of two different Binary Coefficients.
Ting Chen - One of the best experts on this subject based on the ideXlab platform.
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maximum likelihood estimation of the Binary Coefficient of determination
Asilomar Conference on Signals Systems and Computers, 2011Co-Authors: Ting Chen, Ulisses M BraganetoAbstract:The Binary Coefficient of Determination (CoD) is a key component of inference methods in Genomic Signal Processing. Assuming a stochastic logic model, we introduce a new sample CoD estimator based upon maximum likelihood (ML) estimation. Experiments have been conducted to assess how the ML CoD estimator performs in recovering predictors in multivariate prediction settings. Performance is compared with the traditional nonparametric CoD estimators based on resubstitution, leave-one-out, bootstrap and cross-validation. The results show that the ML CoD estimator is the estimator of choice if prior knowledge is available about the logic relationships in the model, even if this knowledge is incomplete.
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ACSCC - Maximum likelihood estimation of the Binary Coefficient of Determination
2011 Conference Record of the Forty Fifth Asilomar Conference on Signals Systems and Computers (ASILOMAR), 2011Co-Authors: Ting Chen, Ulisses M. Braga-netoAbstract:The Binary Coefficient of Determination (CoD) is a key component of inference methods in Genomic Signal Processing. Assuming a stochastic logic model, we introduce a new sample CoD estimator based upon maximum likelihood (ML) estimation. Experiments have been conducted to assess how the ML CoD estimator performs in recovering predictors in multivariate prediction settings. Performance is compared with the traditional nonparametric CoD estimators based on resubstitution, leave-one-out, bootstrap and cross-validation. The results show that the ML CoD estimator is the estimator of choice if prior knowledge is available about the logic relationships in the model, even if this knowledge is incomplete.
R. Van Grieken - One of the best experts on this subject based on the ideXlab platform.
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Energy‐dispersive x‐ray fluorescence analysis of geological materials in borax beads using Tertian's Binary Coefficient approach combined with internal standard addition
X-Ray Spectrometry, 1991Co-Authors: L. M. Muia, R. Van GriekenAbstract:A rapid procedure for the energy-dispersive x-ray fluorescence analysis of geological materials in borax glass beads for Al2O3, SiO2, CaO, TiO2, MnO and Fe2O3 is presented. The method involves the addition of an internal standard, ZnO, to obtain approximate concentrations for the desired element oxides. Refined concentrations are then obtained through corrections for matrix and third-element effects from theoretically calculated Binary influence Coefficients and third-element correction factors using the Binary Coefficient approach combined with Tertian's correction algorithm. Data are presented for the determination of these major oxides in six Sedimentary Rock Reference Materials. A reasonable agreement between the experimental results and the certified values was obtained in most cases.
A. Austegard - One of the best experts on this subject based on the ideXlab platform.
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Thermodynamic Models for Calculating Mutual Solubilities in H2O–CO2–CH4 Mixtures
Chemical Engineering Research and Design, 2006Co-Authors: A. Austegard, Even Solbraa, G. De Koeijer, Mona J. MølnvikAbstract:One of the measures for reducing global CO2 emissions is to capture CO2 and store it safely in geological formations. Safe and effective CO2 management requires reliable tools for calculate accurately the properties of both pure CO2 and CO2 in mixtures. If the default models and parameters of commercial flow sheeting tools are used when predicting the solubility of water in CO2 and CO2 in mixtures may not always result in satisfactory results. Having in mind the need for reliable operation of the processes along the CO2 capture, transport and injection chain, reliable tools are cardinal. The purpose of the present work has been to establish reliable model parameters by selecting equation of state (EOS) models for evaluation, develop a database of reliable experimental data on solubility of H2O, CO2 and CH4 based on data collected from literature, use the data to establish and suggest model parameters based on the database, and test and document the ability of the various EOS models to predict the solubility of H2O in CO2 or a mixture of CO2 and CH4. Experimental data on solubility of H2O, CO2 and CH4 were collected from literature and compared with a model based on the rest of the experimental data in order to evaluate the quality of the data. The second order SRK-HV (SRK-Huron Vidal) model with six parameters was used as model for evaluating the experimental data. The models SRK-VdW (Soave Redlich Kwong, Van der Waals mixing rules), SRK-HV (SRK-Huron Vidal) and the CPA (Cubic Plus Association) was evaluated. Based on the data for the mutual solubilities of H2O, CO2 and CH4, new model parameters were adapted for the SRK-HV, and the CPA models. Solubility of H2O in CO2 and H2O in the CO2–CH4 mixture was emphasized. The second order SRK-HV model produced acceptable results with deviation from 3% to 9% between experiments and the model. The CPA model was less accurate, producing results with deviation from 9% to 35% between experiments and the model. The SRK-VdW model gave two different Binary Coefficients, one for solubility of water in liquid CO2 and another for solubility of CO2 in water. That gave same deviation as the SRK-HV model, (typically 7% for H2O in CO2 but 93% for CO2 in water, or 4% for CO2 in water but 390% for H2O in CO2 with another Binary Coefficient). The SRK-VdW is not indented for use of two different Binary Coefficients.