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KCI 후보
최소제곱평균 추정기법 알고리즘을 이용한 트랙서보패턴 간격 최적화
Track servo patterns spacing optimization using least mean square estimation algorithm for holographic data storage
임성용 ( Sung Yong Lim ) , 이종진 ( Jong Jin Lee ) , 이재성 ( Jae Seong Lee ) , 정우영 ( Woo Young Jeong ) , 양현석 ( Hyun Seok Yang ) , 박노철 ( No Cheol Park ) , 박영필 ( Young Pil Park )
UCI I410-ECN-0102-2013-560-002443205

Page-oriented holographic data storage (HDS) is very sensitive to the disturbances. However, vibration effect by disc imbalance can be ignored because data pages are recorded and retrieved with stop-go rotation. Therefore, just estimating de-track due to eccentricity of disc is enough to construct stable track servo system. In this paper, propose the spacing of track servo patterns optimization method using Least Mean Square (LMS) estimation algorithm. Through the patterns spacing optimization, storage density maximize can be achieved.

[자료제공 : 네이버학술정보]
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