Results 21 to 30 of about 44,886 (257)

Adaptive Polynomial Fitting for Image Compression Based on Variance of Block Pixels [PDF]

open access: yesEngineering and Technology Journal, 2015
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
doaj   +1 more source

A Compressed Sensing Estimation Technique for Doubly Selective Channel in OFDM Systems

open access: yesIEEE Access, 2019
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
doaj   +1 more source

Novel Multivariable Evolutionary Algorithm-Based Method for Modal Reconstruction of the Corneal Surface from Sparse and Incomplete Point Clouds

open access: yesBioengineering, 2023
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
doaj   +1 more source

Polynomial fitting based on least squares approximates for first-order Tracy-Widom distribution [PDF]

open access: yesITM Web of Conferences, 2022
Tracy-Widom distribution can primely describe the limit distribution of the largest eigenvalue of noise matrix, so it is widely used in the field of signal processing and wireless communication.
Tian Chong   +4 more
doaj   +1 more source

Effect of data scaling on color device model fitting

open access: yesJournal of Industrial Engineering and Management, 2010
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
doaj   +1 more source

Fitting the OCV-SOC relationship of a battery lithium-ion using genetic algorithm method [PDF]

open access: yesE3S Web of Conferences, 2021
In response to the need of reducing fossil fuel dependence and environmental impacts for ground transportation, electric vehicles (EVs) powered by lithium-ion batteries (LIBs) are being intensively researched and they have placed on the forefront as ...
Elmahdi Fadlaoui   +2 more
doaj   +1 more source

Data processing method for laterally loaded trial piles based on Akima interpolation theory

open access: yesYantu gongcheng xuebao, 2020
A series of problems, such as low-order polynomial fitting with lower accuracy, high-order polynomial fitting with no convergence, five-point smoothing method countering unequally spaced data and so on, may occur in the data processing for laterally ...
ZHU Ming-xing 1, 2, YIN Qian 1, 2, GONG Wei-ming 1, 2, DAI Guo-liang 1, 2, LU Hong-qian 3
doaj   +1 more source

Two-Stage Method Based on Local Polynomial Fitting for a Linear Heteroscedastic Regression Model and Its Application in Economics

open access: yesDiscrete Dynamics in Nature and Society, 2012
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
doaj   +1 more source

A joint three-plane physics-constrained deep learning based polynomial fitting approach for MR electrical properties tomography

open access: yesNeuroImage
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
doaj   +1 more source

Fitting the Fractional Polynomial Model to Non-Gaussian Longitudinal Data

open access: yesFrontiers in Psychology, 2017
As in cross sectional studies, longitudinal studies involve non-Gaussian data such as binomial, Poisson, gamma, and inverse-Gaussian distributions, and multivariate exponential families. A number of statistical tools have thus been developed to deal with
Ji Hoon Ryoo   +4 more
doaj   +1 more source

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