Results 21 to 30 of about 43,057 (164)
Adaptive Polynomial Fitting for Image Compression Based on Variance of Block Pixels [PDF]
This paper presents a proposed method to compress images using two polynomials with different models based on the value of block pixels variance. These two polynomials are chosen from different set of models, which give low number of coefficients and ...
Riyadh Jabbar S. Al-Bahadili
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Three-dimensional reconstruction of the corneal surface provides a powerful tool for managing corneal diseases. This study proposes a novel method for reconstructing the corneal surface from elevation point clouds, using modal schemes capable of ...
Francisco L. Sáez-Gutiérrez +4 more
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A Compressed Sensing Estimation Technique for Doubly Selective Channel in OFDM Systems
In this work, an estimation algorithm based on the compressive sensing (CS) technique is proposed for an orthogonal frequency division multiplexing (OFDM) system applied to multi-path time-varying channels.
Huang-Chang Lee +2 more
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Trigonometric polynomial or exponential fitting approach?
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vanden Berghe, G., Van Daele, M.
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Effect of data scaling on color device model fitting
Output devices in print production can be characterized by different characterization methods. One commonly used method of color device characterization is least squares fitting. In essence, the least squares fitting is used to determine the coefficients
Davor Donevski +2 more
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Nonlinear modeling of liming reaction and extractable base curves [PDF]
Modeling the response of soils to liming is important for understanding neutralization reactions and predicting lime residual effects. Models based on simple or quadratic polynomial equations are the most used due to their simplicity and ease of fitting;
João H. M. Viana +3 more
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Data Envelope Fitting with Constrained Polynomial Splines [PDF]
SummaryEstimation of support frontiers and boundaries often involves monotone and/or concave edge data smoothing. This estimation problem arises in various unrelated contexts, such as optimal cost and production assessments in econometrics and master curve prediction in the reliability programmes of nuclear reactors.
Daouia, Abdelaati +2 more
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We introduce the extension of local polynomial fitting to the linear heteroscedastic regression model. Firstly, the local polynomial fitting is applied to estimate heteroscedastic function, then the coefficients of regression model are obtained by using ...
Liyun Su, Yanyong Zhao, Tianshun Yan
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Magnetic resonance electrical properties tomography can extract the electrical properties of in-vivo tissue. To estimate tissue electrical properties, various reconstruction algorithms have been proposed.
Kyu-Jin Jung +6 more
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