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浏览/检索结果: 共5条，第1-5条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序作者升序作者降序提交时间升序提交时间降序题名升序题名降序 Block-sparse compressed sensing: non-convex model and iterative re-weighted algorithm 期刊论文 Inverse Problems in Science and Engineering, 2013, 卷号: Vol.21 No.1, 页码: 141-154 作者:  Yin, HT;  Li, ST;  Fang, LY 收藏  |  浏览/下载：3/0  |  提交时间：2020/01/05 block-sparse compressed sensing  non-convex model  block-sparse recovery  iterative re-weighted algorithm   Restoring force and dynamic loadings identification for a nonlinear chain-like structure with partially unknown excitations 期刊论文 Nonlinear Dynamics, 2012, 卷号: Vol.69 No.1-2, 页码: 231-245 作者:  He, J;  Xu, B;  Masri, SF 收藏  |  浏览/下载：10/0  |  提交时间：2020/01/05 Nonlinear system identification  Power series polynomial model  Nonlinear restoring force  Dynamic loadings  Weighted adaptive iterative least-squares estimation  Incomplete measured excitations  MR damper   基于粗糙集理论的聚类融合加权迭代模型 期刊论文 2010, 2010 阳琳赟; 王路; 卓晴; 王文渊; YANG Linyun; WANG Lu; ZHUO Qing; WANG Wenyuan 收藏  |  浏览/下载：3/0 基于粗糙集理论的聚类融合加权迭代模型 期刊论文 2010, 2010 阳琳赟; 王路; 卓晴; 王文渊; YANG Linyun; WANG Lu; ZHUO Qing; WANG Wenyuan 收藏  |  浏览/下载：2/0 Novel method for optimizing polishing tool-path in CCOS based on weighted-iterative algorithm (EI CONFERENCE) 会议论文 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, November 19, 2008 - November 21, 2008, Chengdu, China Deng W.-J.; Zhang X.-J.; Wang X.-K.; Wang X. 收藏  |  浏览/下载：32/0  |  提交时间：2013/03/25 In Computer Controlled Optical Surfacing (CCOS)  polishing tool-path is the base of solving other control parameters such as dwell time. In order to improve the fabrication results of polishing off-axis aspheric  a novel method to optimize the tool-path is discussed in this paper. The optimizing method named weighted-iterative algorithm is according to the balance principle of the particle system. The power factor of each dwell point represents the requirement of dwell density. Considering the factors which influence the polishing result  the power factors cosist of three elements include constant  error distribution and dwell distance of workpiece edge. The tool-path is solved by numerical iterative method. In the end  an error data is simulated with actual parameters using the matrix-based algorithm with two different tool-paths. The one is X-Y uniform spacing model and the other one is to optimize it based on the first. The comparison shows that the results of the optimized one are much better than traditional one  especially the rms convergence rate. Theory of the algorithm is simple and exercisable  and it satisfies practical requirement as well. 2009 SPIE.