机构

• 计算技术研究所 [2]
• 长春光学精密机械与物... [1]
• 自动化研究所 [1]
• 烟台海岸带研究所 [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [4]
• 会议论文 [1]

发表日期

• 2025 [1]
• 2023 [1]
• 2022 [1]
• 2010 [1]
• 2003 [1]

学科主题

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Insights into the multi-media spatiotemporal distribution, partitioning, and risks of pharmaceuticals and personal care products in the southern Bohai Sea 期刊论文  OAI收割 JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2025, 卷号: 394, 页码: 10 作者:  Lu, Shuang;  Chen, Han;  Lv, Min;  Zhang, Peng;  Fu, Longwen   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/11/24 PPCPs  Multiple matrices  Seasonal-spatial variations  Phase partition  Potential risks   Multi-source underwater DOA estimation using PSO-BP neural network based on high-order cumulant optimization 期刊论文  OAI收割 CHINA COMMUNICATIONS, 2023, 页码: 18 作者:  Chen, Haihua;  Zhang, Jingyao;  Jiang, Bin;  Cui, Xuerong;  Zhou, Rongrong   |  收藏  |  浏览/下载：52/0  |  提交时间：2023/12/04 Direction-of-arrival estimation  Estimation  Neural networks  Mathematical models  Training  Covariance matrices  Biological neural networks  particle swarm optimization (PSO) algorithm  PSO-BP neural network  gaussian colored noise  multiple sources  higher-order cumulant   Design of Power-Imbalanced SCMA Codebook 期刊论文  OAI收割 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 卷号: 71, 期号: 2, 页码: 2140-2145 作者:  Li, Xudong;  Gao, Zhicheng;  Gui, Yiming;  Liu, Zilong;  Xiao, Pei   |  收藏  |  浏览/下载：66/0  |  提交时间：2022/12/07 NOMA  Genetic algorithms  Electronic mail  Downlink  Sparse matrices  Codes  Receivers  Sparse code multiple access (SCMA)  power imbalance  near-far effect  minimum Euclidean distance (MED)  minimum product distance (MPD)   Fast covariance matching based on Genetic Algorithm (EI CONFERENCE) 会议论文  OAI收割 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010, Chengdu, China 作者:  Zhang X.;  Zhang L.;  Zhang L.;  Zhang X.;  Zhang X. 收藏  |  浏览/下载：34/0  |  提交时间：2013/03/25 This paper proposes an effective framework to boost the efficiency of covariance matching. In this framework  covariance matrices are used to match object in complex environment by fusing multiple features. Then  Genetic Algorithm (GA) is employed to improve the processing speed of covariance matching. To take advantage of the property of GA for the optimization in large search spaces to covariance matching  a fitness function is designed using the distances between the covariance matrices of model and candidate regions. Experimental results show that the proposed approach can improve the processing speed of covariance matching observably. The computing speed of the proposed method is at least 7 times than that of exhaustive searching. 2010 IEEE.   Edge theorem for MIMO systems 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, 2003, 卷号: 50, 期号: 12, 页码: 1577-1580 作者:  Wang, L;  Wang, ZZ;  Yu, WS;  Zhang, L 收藏  |  浏览/下载：42/0  |  提交时间：2015/11/08 edge theorem  interval polynomials  multiple-input multiple output (MIMO) systems  polynomial matrices  robustness analysis  uncertain systems