Weighted Interpolation Method Using Supplementary Filter

보조필터를 이용한 가중치 보간방법

  • Jang, In-Gul (Div. of Electronic & Information Engineering, IT Convergence Research Center, Chonbuk National University) ;
  • Lee, Jae-Kyung (Div. of Electronic & Information Engineering, IT Convergence Research Center, Chonbuk National University) ;
  • Chung, Jin-Gyun (Div. of Electronic & Information Engineering, IT Convergence Research Center, Chonbuk National University)
  • 장인걸 (전북대학교 전자공학부, IT융합 연구센터) ;
  • 이재경 (전북대학교 전자공학부, IT융합 연구센터) ;
  • 정진균 (전북대학교 전자공학부, IT융합 연구센터)
  • Received : 2011.01.27
  • Accepted : 2011.03.21
  • Published : 2011.05.25

Abstract

Interpolation filters are widely used in many communication and multimedia applications. Polynomial interpolation computes the coefficients of the polynomial according to the input information to obtain the interpolated value. Recently, FIR interpolation method using supplementary filters was proposed to improve the performances of polynomial interpolation methods. In this paper, by combining a weighting factor approach with the supplementary filter method, we propose a weighted interpolation method which can be efficiently used to compute the maximum or minimum values of a given curve using only a restricted number of sample values. With application to the interpolation of normal distribution curves used in XRF systems, it is shown that the proposed approach exhibits improved performances compared with conventional interpolation methods.

보간 필터는 통신과 멀티미디어 응용프로그램에 널리 사용된다. 다항식 보간은 보간된 값을 얻기 위해서 입력정보에 따른 다항식의 계수를 계산한다. 최근에 다항식 보간방법의 성능을 향상시키기 위하여 보조필터를 이용한 FIR 보간방법이 제안되었다. 본 논문에서는 최대값 또는, 최소값 계산 등 특정 순간의 보간 값만 필요한 응용에서 보간필터의 성능을 더욱 향상시킬 수 있는 보조필터를 이용한 가중치 적용 보간방법을 제안한다. 제안한 방법을 X-선 형광분석장치에서 사용되는 정규분포곡선에 대한 보간에 적용하여 기존 보간방법에 비해 더욱 우수한 보간 성능이 제공됨을 보인다.

Keywords

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