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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2018.9
- 수록면
- 558 - 564 (7page)
이용수
초록· 키워드
오류제보하기
In distributed estimation where each node can collect only partial information on the parameter of interest without communication between nodes and quantize it before transmission to a fusion node which conducts estimation of the parameter, we consider a novel quantization technique employed at local nodes. It should be noted that the performance can be greatly improved if each node can transmit its measurement to one designated node (namely, head node) which can quantize its estimate using the total rate available in the system. For this case, the best strategy at the head node would be simply to partition the parameter space using the generalized
Lloyd algorithm, producing the global codewords, one of which is closest to the estimate is transmitted to a fusion node. In this paper, we propose an iterative design algorithm that seeks to efficiently assign the codewords into each of quantization partitions at nodes so as to achieve the performance close to that of the system with the head node. We show through extensive experiments that the proposed algorithm offers a performance improvement in rate-distortion perspective as compared with previous novel techniques.
Lloyd algorithm, producing the global codewords, one of which is closest to the estimate is transmitted to a fusion node. In this paper, we propose an iterative design algorithm that seeks to efficiently assign the codewords into each of quantization partitions at nodes so as to achieve the performance close to that of the system with the head node. We show through extensive experiments that the proposed algorithm offers a performance improvement in rate-distortion perspective as compared with previous novel techniques.
목차
Abstract
Ⅰ. Introduction
Ⅱ. Problem Formulation
Ⅲ. Motivation
Ⅳ. Partitioning of parameter space and encoding technique
Ⅴ. Proposed quantizer design algorithm
Ⅵ. Application to source localization in acoustic sensor networks
Ⅶ. Simulation results
Ⅷ. Conclusion
References
참고문헌 (13)
참고문헌 신청
[학술대회논문] - A. O. Hero / 2005 / Sensor network source localization via projection onto convex sets (POCS) / IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP)
[학술지(정기간행물)] - Y. H. Kim / 2014 / Quantizer design optimized for distributed estimation / IEICE Trans. on information and systems E97-D (6) : 1639 ~ 1643
[학술지(정기간행물)] - 김윤학 / 2016 / Cluster-Based Quantization and Estimation for Distributed Systems / Journal of Information and Communication Convergence Engineering 14 (4) : 215 ~ 221
[학술지(정기간행물)] - Y. H. Kim / 2016 / Encoding of quantisation partitions optimised for distributed estimation / Electronics Letters 52 (8) : 611 ~ 613
[학술대회논문] - Y. H. Kim. / 2005 / Quantizer design for source localization in sensor networks / IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP)
[학술지(정기간행물)] - Y. H. Kim / 2014 / Quantizer design optimized for distributed estimation / IEICE Trans. on information and systems E97-D (6) : 1639 ~ 1643
[학술지(정기간행물)] - 김윤학 / 2016 / Cluster-Based Quantization and Estimation for Distributed Systems / Journal of Information and Communication Convergence Engineering 14 (4) : 215 ~ 221
[학술지(정기간행물)] - Y. H. Kim / 2016 / Encoding of quantisation partitions optimised for distributed estimation / Electronics Letters 52 (8) : 611 ~ 613
[학술대회논문] - Y. H. Kim. / 2005 / Quantizer design for source localization in sensor networks / IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP)
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UCI(KEPA) : I410-ECN-0101-2019-056-000174740