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Signal Decimation and Interpolation in Fractional Domain using Non-linear Basis Functions
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- 발행기관
- 보안공학연구지원센터(IJSIP) 바로가기
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- 간행물
- International Journal of Signal Processing, Image Processing and Pattern Recognition 바로가기
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- 통권
- Vol.6 No.4 (2013.08)바로가기
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- 페이지
- pp.415-430
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A206578
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- This paper presents signal decimation and interpolation techniques under a multiresolution frame work for both lower and higher dimensional applications. New classes of non-linear basis functions have been derived from the sigmoid activation function extensively used in artificial neural networks (ANN). It has been shown that the proposed non-linear basis functions are well suited for interpolation/approximation of band limited signals. An efficient scheme for band limited signal interpolation has been introduced. Fast IIR digital filters (inverse filters) have been derived from the combinatorial theory in connection with the proposed basis functions. The proposed inverse filters can easily be implemented recursively with three multiplications and additions only. Further, the factorization of higher order filters for easy implementation has also been considered. Frequency response characteristics for the pre-filters and their corresponding interpolators are presented to reveal the quality of interpolation. An experiment has been carried out to interpolate a discrete sequence of length 33 into a sequence of length 257 (with a zooming factor of 8). Second part of the paper presents another efficient scheme for image decimation and interpolation. Experimental results on image data compression have been presented to justify the use of the proposed technique.
목차
Abstract
1. Introduction
2. Problem Formulation
3. Function Approximation on [0, 1] using Non-Linear Basis Functions
4. Signal Interpolation Example
5. Fast Recursive Implementation
6. Image Decimation and Interpolation
7. Experimental Results
7.1. Image Interpolation Example
7.2. Image Compression Examples
8. Conclusion
References
키워드
Decimation interpolation combinatorial theory IIR and FIR digital filters signal processing higher dimension applications image compression.저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Signal Processing, Image Processing and Pattern Recognition
- 간기
- 격월간
- pISSN
- 2005-4254
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.6 No.4
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