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	Trust-region versus line search globalization strategies for inexact Newton method and application in full waveform inversion 期刊论文 OAI收割 JOURNAL OF APPLIED GEOPHYSICS, 2022, 卷号: 201, 页码: 17 作者: He, Qinglong; Wang, Yanfei \| 收藏 \| 浏览/下载：34/0 \| 提交时间：2022/07/18 Full waveform inversion Inverse problems Inexact Newton method Trust-region Line search Adjoint-state method
	Exact line search method for using the L1-norm misfit function in full waveform inversion 期刊论文 OAI收割 STUDIA GEOPHYSICA ET GEODAETICA, 2020, 页码: 21 作者: Ma, Xiaona; Liang, Guanghe; Xu, Shanhui; Li, Zhiyuan; Feng, Haixin \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2021/01/08 full waveform inversion L1 misfit function exact line search method
	Research of step-length estimation methods for full waveform inversion in time domain 期刊论文 OAI收割 EXPLORATION GEOPHYSICS, 2019, 页码: 17 作者: Ma, Xiaona; Li, Zhiyuan; Ke, Pei; Xu, Shanhui; Liang, Guanghe \| 收藏 \| 浏览/下载：69/0 \| 提交时间：2019/11/14 Full waveform inversion step-length estimation method exact line-search method inexact line-search method step-length initial-guess method
	A Novel Data Reuse Method to Reduce Demand on Memory Bandwidth and Power Consumption For True Motion Estimation 期刊论文 OAI收割 IEEE ACCESS, 2018, 卷号: 6, 页码: 10151-10159 作者: Xu, Weizhi; Yu, Hui; Lu, Dianjie; Liu, Fangai; Liu, Zhiyong \| 收藏 \| 浏览/下载：32/0 \| 提交时间：2019/12/10 Motion estimation full search inter-frame data reuse frame rate up-conversion
	High-Performance Motion Estimation for Image Sensors with Video Compression 期刊论文 OAI收割 SENSORS, 2015, 卷号: 15, 期号: 8, 页码: 20752-20778 作者: Xu, Weizhi; Yin, Shouyi; Liu, Leibo; Liu, Zhiyong; Wei, Shaojun \| 收藏 \| 浏览/下载：114/0 \| 提交时间：2019/12/13 memory bandwidth image sensors video compression motion estimation full search inter-frame data reuse
	The application of TMS320c64x DSP assembly language in correlation tracking algorithms (EI CONFERENCE) 会议论文 OAI收割 2010 3rd International Congress on Image and Signal Processing, CISP 2010, October 16, 2010 - October 18, 2010, Yantai, China Huang D.; Wu Z.; Liang M.; Dong Y.; Peng T. 收藏 \| 浏览/下载：20/0 \| 提交时间：2013/03/25 In order to improve the real-time performance of the conventional correlation tracking algorithm based on full search method for its huge computation amount and vast correlation matching times in the process of searching an optimal matching position a method of combining the TMS320C64x DSP assembly language and software pipelining is proposed to realize template matching which costs the most time of the algorithm. Choose high performance DSP chip TMS320DM642 as the core processor of the hardware platform and schedule each one of the instruction in the algorithm to maximize performance using the instruction-level parallelism of the DSP. The experimental results indicate the time of template image matching implemented in assembly language has decreased from 49.36ms to 0.62ms. It is concluded that the correlation tracking adopting proposed method can meet the real-time and stability requirement of the target tracking. 2010 IEEE.
	基于自索引的DBF压缩查询工具研究期刊论文 OAI收割计算机应用研究, 2009, 卷号: 26, 期号: 2, 页码: 628-630 刘胜飞; 张云泉; 张迪 \| 收藏 \| 浏览/下载：15/0 \| 提交时间：2010/08/24 全文索引数据库表压缩查询 full text index DBF( database file) table compress search
	Algorithm research of flexible graphplan based on heuristic (EI CONFERENCE) 会议论文 OAI收割 9th International Conference for Young Computer Scientists, ICYCS 2008, November 18, 2008 - November 21, 2008, Zhang Jia Jie, Hunan, China 作者: Xu S.; Wang X.; Wang X.; Wang X.; Sun Y. 收藏 \| 浏览/下载：19/0 \| 提交时间：2013/03/25 Classic Graphplan has too much restriction on capturing the full subtlety of many real problems. Flexible Graphplan is defined which supports the soft constraints often found in reality. Heuristic concept is introduced to the process of plan extraction in flexible graphplan in order to improve the efficiency of plan extraction and the quality of plan. A novel algorithm using the new heuristic function which is applied by improved sum mutex heuristic to deal with planning problems is proposed. Sum mutex heuristic which is in common use as heuristic function takes into account only static propositional mutexes and ignores the mutexes of actions. The performance of the new algorithm on many benchmark problems is remarkably robust. It can solve many planning problems which can't be solved by the heuristic state space search planning system using sum mutex heuristic. 2008 IEEE.