Results 21 to 30 of about 1,037 (242)

An Improved Indoor Positioning Method Based on Nearest Neighbor Interpolation

open access: yesNetwork and Communication Technologies, 2021
Nowadays, people’s demand for indoor location information is more and more, which continuously promotes the development of indoor positioning technology. In the field of indoor positioning, fingerprint based indoor positioning algorithm still accounts for a large proportion.
openaire   +2 more sources

A novel high-efficiency holography image compression method, based on HEVC, Wavelet, and nearest-neighbor interpolation [PDF]

open access: yesMultimedia Tools and Applications, 2021
One of the critical challenges facing 3D video systems and images such as holography lies in their compression technique. High-efficiency video coding (HEVC) has emerged as one of the leading schemes to address this challenge. In this article, a novel method based on wavelet transform is presented to improve HEVC, particularly in digital holography ...
Vahid Hajihashemi   +5 more
openaire   +2 more sources

A clustering semi-parametric logistic learing inputation method for categorical missing data

open access: yes四川大学学报. 自然科学版, 2023
Missing data interpolation is a basic method in data science. In this paper, we introduce a new method for categorical missing data based on the clustering and semi-parametric logistic learning model.
XIA Yi-Fan, CHEN Yu, ZOU Pu-Yue
doaj  

Quantitative Analysis of the Effect of an Ectopic Beat on the Heart Rate Variability in the Resting Condition

open access: yesFrontiers in Physiology, 2018
The purpose of this study is to quantitatively analyze the effect of an ectopic beat on heart rate variability (HRV) in the time domain, frequency domain, and in a non-linear analysis.
Ahyoung Choi, Hangsik Shin
doaj   +1 more source

Statistical Optimality of Interpolated Nearest Neighbor Algorithms

open access: yesCoRR, 2018
In the era of deep learning, understanding over-fitting phenomenon becomes increasingly important. It is observed that carefully designed deep neural networks achieve small testing error even when the training error is close to zero. One possible explanation is that for many modern machine learning algorithms, over-fitting can greatly reduce the ...
Yue Xing 0002   +2 more
openaire   +2 more sources

Translating jet noise measurements to near-field level maps with nearest neighbor bilinear smoothing interpolation [PDF]

open access: yesThe Journal of the Acoustical Society of America, 2021
U.S. Department of Defense hearing conservation and noise limits standards require the definition of safe areas around all objects that emit noise and suggest various methods for characterizing these levels. The protection documents do not describe methods for reducing discrete measurement points into level fields to map safe and hazardous noise areas.
Frank S, Mobley   +2 more
openaire   +2 more sources

Implementation of restoring Bayer RGB on FPGA through Nearest Neighbor Interpolation

open access: yes上海师范大学学报. 自然科学版, 2016
Image sensors only sample the intensity information of one color component of RGB when each pixel is collected.In color digital image system,it needs real-time processing and color interpolation for the sensor image.Both time complexity and space ...
WANG Jian   +3 more
doaj   +1 more source

Comparison of interpolation methods for raster images scaling [PDF]

open access: yesНаучно-технический вестник Брянского государственного университета, 2017
The article is devoted to the problem of efficient scaling of raster images. We consider some negative effects, related with scaling of raster images. Besides, we consider an analysis of several methods that are used to increase sizes of ras-ter images ...
Trubakov A.O., Seleykovich M.O.
doaj   +1 more source

Comparison of Doubling the Size of Image Algorithms

open access: yesМоделирование и анализ информационных систем, 2016
In this paper the comparative analysis for quality of some interpolation non-adaptive methods of doubling the image size is carried out. We used the value of a mean square error for estimation accuracy (quality) approximation.
S. E. Vaganov, S. I. Khashin
doaj   +1 more source

On the uncertainty of estimating photovoltaic soiling using nearby soiling data

open access: yese-Prime: Advances in Electrical Engineering, Electronics and Energy, 2023
The accumulation of dust on the surface of photovoltaic modules can reduce their performance and affect the cost competitiveness of this technology. This phenomenon is known as soiling and can be mitigated through appropriate corrective and/or preventive
Leonardo Micheli, Matthew Muller
doaj   +1 more source

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