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检索条件"主题词=high computational complexity"
22 条 记 录,以下是11-20 订阅
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Hyperspectral image clustering via sparse dictionary-based anchored regression
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IET IMAGE PROCESSING 2019年 第2期13卷 261-269页
作者: Huang, Nan Xiao, Liang Nanjing Univ Sci & Technol Sch Comp Sci & Engn Nanjing Jiangsu Peoples R China
Clustering for hyperspectral images (HSIs) is a very challenging task because HSIs usually have large spectral variability, high dimensionality, and complex structures. The main issue of this study is to develop an im... 详细信息
来源: 评论
Fast algorithm for moving target localisation using FDA-MIMO radar
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JOURNAL OF ENGINEERING-JOE 2019年 第19期2019卷 5749-5752页
作者: Xu, Jian Wang, Wen-Qin Cui, Can Huang, Bang Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu Sichuan Peoples R China Nanjing Univ Sci & Technol Sch Elect Engn & Optoelect Technol Nanjing Jiangsu Peoples R China
Target localisation using frequency diverse array (FDA) has drawn much attention owing to the additional degree of freedom in the range dimension. However, the Doppler effect was often ignored in previous FDA works be... 详细信息
来源: 评论
Software Architecture of high Efficiency Video Coding for Many-Core Systems with Power-Efficient Workload Balancing
Software Architecture of High Efficiency Video Coding for Ma...
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Design, Automation and Test in Europe Conference and Exhibition (DATE)
作者: Khan, Muhammad Usman Karim Shafique, Muhammad Henkel, Joerg Karlsruhe Inst Technol CES D-76021 Karlsruhe Germany
The high Efficiency Video Coding (HEVC) standard aims at providing similar to 50% better compression compared to its predecessor (H.264) at the cost of high computational complexity. To enable HEVC video encoding in r... 详细信息
来源: 评论
A Learning Scheme to Fuzzy C-Means based on a Compromise in Updating Membership Degrees
A Learning Scheme to Fuzzy C-Means based on a Compromise in ...
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IEEE International Conference on Fuzzy Systems
作者: Wu, Shang-Lin Lin, Yang-Yin Liu, Yu-Ting Chen, Chih-Yu Lin, Chin-Teng Natl Chiao Tung Univ Inst Elect Control Engn Hsinchu 300 Taiwan Natl Chiao Tung Univ Brain Res Ctr Hsinchu 300 Taiwan Natl Chiao Tung Univ Inst Biomed Engn Hsinchu 300 Taiwan
Fuzzy C-Means (FCM) clustering is the most well-known clustering method according to fuzzy partition for pattern classification. However, there are some disadvantages of using that clustering method, such as computati... 详细信息
来源: 评论
A Joint Decoding Algorithm for Turbo Product Codes Applied in PCM/FM Telemetry System
A Joint Decoding Algorithm for Turbo Product Codes Applied i...
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International Congress on Image and Signal Processing
作者: Li Wang Manxi Wang Liandong Wang Fu Yuan State Key Lab. of Complex Electromagn. Environ. Effects on Electron. & Inf. Syst. Luoyang China
For decreasing the high computational complexity of Turbo product code in PCM/FM telemetry system, a joint decoding algorithm based on syndrome-based decoding and a correlation operation to substitute for searching th... 详细信息
来源: 评论
A Learning Scheme to Fuzzy C-Means based on a Compromise in Updating Membership Degrees
A Learning Scheme to Fuzzy C-Means based on a Compromise in ...
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IEEE International Conference on Fuzzy Systems
作者: Shang-Lin Wu Yang-Yin Lin Yu-Ting Liu Chih-Yu Chen Chin-Teng Lin Institute of Electrical Control Engineering National Chiao Tung University Brain Research Center National Chiao Tung University Institute of Biomedical Engineering National Chiao Tung University
Fuzzy C-Means (FCM) clustering is the most well-known clustering method according to fuzzy partition for pattern classification. However, there are some disadvantages of using that clustering method, such as computati... 详细信息
来源: 评论
An ElGamal-Based Efficient and Privacy-Preserving Data Aggregation Scheme for Smart Grid
An ElGamal-Based Efficient and Privacy-Preserving Data Aggre...
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IEEE Global Communications Conference
作者: Xiaolei Dong Jun Zhou Khalid Alharbi Xiaodong Lin Zhenfu Cao Department of Computer Science and Engineering Shanghai Jiao Tong University Faculty of Business and Information Technology University of Ontario Institute of Technology
Smart Grid technologies are ever-increasingly being adopted by nations and governments, primarily for a huge technological advancement in the areas of power management and information and communications. The smart met... 详细信息
来源: 评论
Robust compressive multi-input-multi-output imaging
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IET RADAR SONAR AND NAVIGATION 2013年 第3期7卷 233-245页
作者: Zhao, Guanghui Wang, Qi Shen, Fangfang Li, Xiaoming Shi, Guangming Xidian Univ Sch Elect Engn Xian 710071 Peoples R China Aviat Key Lab Sci & Technol AISSS Wuxi 214063 Peoples R China
Canonical multi-input-multi-output (MIMO) imaging methods suffer from limited resolution, poor robustness against noise and high computational complexity, especially when the array aperture is limited (affecting angul... 详细信息
来源: 评论
A Low-Delay Low-complexity EKF Design for Joint Channel and CFO Estimation in Multi-User Cognitive Communications
A Low-Delay Low-Complexity EKF Design for Joint Channel and ...
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54th Annual IEEE Global Telecommunications Conference (GLOBECOM)
作者: Zhao, Pengkai Shen, Cong Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90024 USA Qualcomm Inc San Diego CA USA
Parameter estimation in cognitive communications can be formulated as a multi-user estimation problem, which is solvable under maximum likelihood solution but involves high computational complexity. This paper present... 详细信息
来源: 评论
‘Next-generation’ genome wide association studies
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Hereditary Cancer in Clinical Practice 2012年 第2期10卷 1-1页
作者: J Hopper E Makalic D Schmidt M Bui J Stone M Kapuscinski D Park M Jenkins M Southey Departments of Public Health and Pathology The University of Melbourne Australia
来源: 评论