2021•Unpublished venueRequires access

An Improved Second-Order Lagrange Interpolation Function

Shiqi Zhao, Xuesen Shi, Yuyao Shen, Yongqing Wang

Open publisher page 2 citations

Abstract

Lagrange interpolation is widely used in signal processing; however, high-order interpolation is affected by Runge phenomenon and the inflexible basis function construction. In this paper, an improved second-order Lagrange interpolation function is proposed, which uses a combination of piecewise second-order Lagrange interpolation results for interpolation. Compared with other low-order polynomial interpolation, the improved second-order Lagrange interpolation has a smaller root mean square error and can achieve an accuracy equivalent to that of a high-order Lagrange interpolation. Moreover, the improved second-order Lagrange interpolation is based on second-order interpolation without changing the interpolation basis function, which increases the flexibility of the algorithm.

About this research paper

What this paper is about

Lagrange interpolation is widely used in signal processing; however, high-order interpolation is affected by Runge phenomenon and the inflexible basis function construction. In this paper, an improved second-order Lagrange interpolation function is proposed, which uses a combination of piecewise second-order Lagrange interpolation results for interpolation. Compared with other low-order polynomial interpolation, the improved second-order Lagrange interpolation has a smaller root mean square error and can achieve an accuracy equivalent to that of a high-order Lagrange interpolation. Moreover, the improved second-order Lagrange interpolation is based on second-order interpolation without changing the interpolation basis function, which increases the flexibility of the algorithm.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Lagrange interpolation is widely used in signal processing; however, high-order interpolation is affected by Runge phenomenon and the inflexible basis function construction. In this paper, an improved second-order Lagrange interpolation function is proposed, which uses a combination of piecewise second-order Lagrange interpolation results for interpolation. Compared with other low-order polynomial interpolation, the improved second-order Lagrange interpolation has a smaller root mean square error and can achieve an accuracy equivalent to that of a high-order Lagrange interpolation. Moreover, the improved second-order Lagrange interpolation is based on second-order interpolation without changing the interpolation basis function, which increases the flexibility of the algorithm.

Key concepts: Interpolation (computer graphics), Trigonometric interpolation, Lagrange polynomial, Nearest-neighbor interpolation, Bilinear interpolation, Stairstep interpolation, Polynomial interpolation, Spline interpolation

Related papers

Back to paper searchBrowse research topicsOriginal source
An Improved Second-Order Lagrange Interpolation Function — Research Paper | ScholarLens