On the Comparison of Trilinear, Cubic Spline, and Fuzzy Interpolation Methods in the High-Accuracy Measurements

2010 ◽  
Vol 18 (5) ◽  
pp. 1016-1022 ◽  
Author(s):  
Ying Bai ◽  
Dali Wang
Keyword(s):  
Cubic Spline ◽  
High Accuracy ◽  
Fuzzy Interpolation ◽  
Interpolation Methods

scholarly journals Alat Bantu Prediksi Kecepatan pada Gerak Lurus Berubah Beraturan Menggunakan Metode Interpolasi Berdimensi Satu

2020 ◽  
Vol 2 (2) ◽  
pp. 47-54
Author(s):  
Nurullaeli Nurullaeli
Keyword(s):  
Nearest Neighbor ◽  
Interpolation Method ◽  
Spline Interpolation ◽  
Cubic Spline ◽  
Graphic User Interface ◽  
Prediction Tool ◽  
Linear Motion ◽  
Interpolation Methods ◽  
Speed Prediction ◽  
Matlab Programming

The purpose of this study is to create a speed prediction tool in a uniformly accelerated linear motion using a single-dimensional interpolation method consisting of linear, cubic, cubic spline, and nearest neighbor interpolation methods. This tool is packaged in the form of Graphic User Interface (GUI) using Matlab programming language. This tool can be used as a medium of the analysis of the object speed experiencing a uniformly accelerated linear motion and a combination of several uniformly accelerated linear motions. Speed prediction results using linear, cubic, and cubic spline interpolation methods do not differ much from the results of analytical calculations, while speed prediction results using nearest neighbor interpolation method are less in line with the results of analytical calculations because nearest neighbor interpolation method will generate constant values around the data point.  This tool can also be used as a learning medium to make it easier for students to learn the concept of uniformly accelerated linear motion in order to reduce the misconceptions in the material.

An Improving Method for Background Correction in Laser Induced Breakdown Spectroscopy

2015 ◽  
Vol 751 ◽  
pp. 86-91 ◽  
Author(s):  
Bo Zhang ◽  
Lan Xiang Sun ◽  
Hai Bin Yu
Keyword(s):  
Signal Analysis ◽  
Interpolation Method ◽  
Spline Interpolation ◽  
Cubic Spline ◽  
Background Correction ◽  
Laser Induced Breakdown Spectroscopy ◽  
Cubic Spline Interpolation ◽  
Interpolation Methods ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Background correction is an essential part in LIBS signal analysis. The interpolation method of background correction has major drawbacks. This paper introduces an interpolation method to overcome the shortcomings of linear and cubic spline interpolation methods. Finally, we compare different interpolation methods to verify the proposed interpolation method.

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