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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE Journal of Semiconductor Technology and Science Vol.15 No.4
- 발행연도
- 2015.8
- 수록면
- 477 - 483 (7page)
이용수
초록· 키워드
오류제보하기
The k-Winners-Take-All (kWTA) is an operation to find the largest k (>1) inputs among N inputs. Parallel search algorithm of kWTA for digital inputs is not invented yet, so most of digital kWTA architectures have O(N) time complexity. A parallel search algorithm for digital kWTA operation and the circuits for its VLSI implementation are presented in this paper. The proposed kWTA architecture can compare all inputs simultaneously in parallel. The time complexity of the new architecture is O(logN), so that it is scalable to a large number of digital data. The high-speed kWTA operation and its O(logN) dependency of the new architecture are verified by simulations. It takes 290 ns in searching for 5 winners among 1024 of 32 bit data, which is more than thousands of times faster than existing digital kWTA circuits, as well as existing analog kWTA circuits.
목차
Abstract
I. INTRODUCTION
II. ALGORITHM FOR PARALLEL K-WTA
III. IMPLEMENTATION OF PARALLEL K-WTA CIRCUITS
IV. EXPERIMENTS
V. CONCLUSIONS
REFERENCES
참고문헌 (20)
참고문헌 신청
[학술지(정기간행물)] - C. A. Marinov / 2005 / Stable computational dynamics for a class of circuits with O(N) interconnections capable of KWTA and rank extractions / IEEE Trans. Circuit. Syst 52 (5) : 949 ~ 959
[학술대회논문] - M. Rahman / 2009 / A high speed and high resolution VLSI Winnertake- all circuit for neural networks and fuzzy systems / IEEE ISSCC2009 : 1 ~ 4
[학술지(정기간행물)] - A. Fish / 2004 / High precision image centroid computation via an adaptive k-winner-take-all circuit in conjunction with a dynamic element matching algorithm for star tracking applications / Analog Integ. Circuit. Signal Process 39 : 251 ~ 266
[단행본] - A. K. J. Hertz / 1991 / Introduction to the Theory of Neural Computation / Addison-Wesley
[학술대회논문] - D. Tian / 2006 / A Dynamic Growing Neural Network for Supervised or Unsupervised Learning / Intelligent Control and Automation, WCICA 2006 1 : 2886 ~ 2890
[학술대회논문] - M. Rahman / 2009 / A high speed and high resolution VLSI Winnertake- all circuit for neural networks and fuzzy systems / IEEE ISSCC2009 : 1 ~ 4
[학술지(정기간행물)] - A. Fish / 2004 / High precision image centroid computation via an adaptive k-winner-take-all circuit in conjunction with a dynamic element matching algorithm for star tracking applications / Analog Integ. Circuit. Signal Process 39 : 251 ~ 266
[단행본] - A. K. J. Hertz / 1991 / Introduction to the Theory of Neural Computation / Addison-Wesley
[학술대회논문] - D. Tian / 2006 / A Dynamic Growing Neural Network for Supervised or Unsupervised Learning / Intelligent Control and Automation, WCICA 2006 1 : 2886 ~ 2890
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UCI(KEPA) : I410-ECN-0101-2016-569-001874981