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检索条件"主题词=Signal Processing Algorithms"
44174 条 记 录,以下是891-900 订阅
排序:
Impact of Varying Distance-Based Fingerprint Similarity Metrics on Affinity Propagation Clustering Performance in Received signal Strength-Based Fingerprint Databases
IEEE OPEN JOURNAL OF SIGNAL PROCESSING
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IEEE OPEN JOURNAL OF signal processing 2024年 5卷 1005-1014页
作者: Yaro, Abdulmalik Shehu Maly, Filip Maly, Karel Prazak, Pavel Univ Hradec Kralove Fac Informat & Management Dept Informat & Quantitat Methods Hradec Kralove 50003 Czech Republic Ahmadu Bello Univ Dept Elect & Telecommun Engn Zaria 810106 Nigeria
The affinity propagation clustering (APC) algorithm is popular for fingerprint database clustering because it can cluster without pre-defining the number of clusters. However, the clustering performance of the APC alg... 详细信息
来源: 评论
Design of Autoencoder Algorithm for Compression of Lightweight EEG signals Based on 2-D Rhythm Feature Maps
IEEE SENSORS LETTERS
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IEEE SENSORS LETTERS 2025年 第3期9卷
作者: Ma, Peijun Yao, Cong Shi, Jiangyi Zhao, Gongzhi Ma, Mingyu Xidian Univ Sch MicroElect Xian 710000 Peoples R China
In recent years, with the development of brain science, the value of electroencephalography (EEG) data has become prominent. However, due to the characteristics of real-time transmission and large amounts of data, the... 详细信息
来源: 评论
signal processing Plays a Key Role in Environmental Research Projects Keeping People and Ecosystems Alive and Healthy Is Perhaps the 21st Century's Biggest Challenge
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IEEE signal processing MAGAZINE 2021年 第3期38卷 6-9页
作者: Edwards, John Gilbert Arizona USA
Despite the impressive technological strides made over the years, human lives still depend very much on the natural environment. Fortunately, technology can now be used to help address critical environmental concerns ... 详细信息
来源: 评论
Exponential Hyperbolic Cosine Robust Adaptive Filters for Audio signal processing
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IEEE signal processing LETTERS 2021年 28卷 1410-1414页
作者: Kumar, Krishna Pandey, Rajlaxmi Bhattacharjee, Sankha Subhra George, Nithin V. Indian Inst Technol Dept Elect Engn Gandhinagar 382355 India
In recent years, correntropy-based algorithms which include maximum correntropy criterion (MCC), generalized MCC (GMCC), kernel MCC (KMCC) and hyperbolic cosine function-based algorithms such as hyperbolic cosine adap... 详细信息
来源: 评论
Sparse Bayesian Learning Using Complex t-Prior for Beam-Domain Massive MIMO Channel Estimation
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY
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IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY 2024年 5卷 5905-5920页
作者: Furuta, Kengo Takahashi, Takumi Ochiai, Hideki Osaka Univ Grad Sch Engn Suita 5650871 Japan
This paper proposes a novel beam-domain channel estimation (CE) algorithm via sparse Bayesian learning (SBL) using complex t-prior for massive multi-user multiple-input multiple-output (MIMO) systems. Due to the sidel... 详细信息
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Diffusion Augmented Complex Maximum Total Correntropy Algorithm for Power System Frequency Estimation
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IEEE signal processing LETTERS 2025年 32卷 1720-1724页
作者: Zhao, Haiquan Peng, Yi Chen, Jinsong Hu, Jinhui Southwest Jiaotong Univ Sch Elect Engn Chengdu 610031 Peoples R China
Currently, adaptive filtering algorithms have been widely applied in frequency estimation for power systems. However, research on diffusion tasks remains insufficient. Existing diffusion adaptive frequency estimation ... 详细信息
来源: 评论
Point Cloud Resampling via Hypergraph signal processing
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IEEE signal processing LETTERS 2021年 28卷 2117-2121页
作者: Deng, Qinwen Zhang, Songyang Ding, Zhi Univ Calif Davis Dept Elect & Comp Engn Davis CA 95616 USA
Three-dimensional (3D) point clouds are important data representations in visualization applications. The rapidly growing utility and popularity of point cloud processing strongly motivate a plethora of research activ... 详细信息
来源: 评论
Robust Estimation of the Covariance Matrix From Data With Outliers
IEEE OPEN JOURNAL OF SIGNAL PROCESSING
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IEEE OPEN JOURNAL OF signal processing 2024年 5卷 1061-1072页
作者: Stoica, Petre Babu, Prabhu Varshney, Piyush Uppsala Univ Dept Informat Technol Div Syst & Control S-75237 Uppsala Sweden Indian Inst Technol Delhi Ctr Appl Res Elect CARE New Delhi 110016 India
The robust estimation of the covariance matrix is a frequent task in practical applications in which, more often than not, some data samples are outliers. There are several methods that can be used to robustly estimat... 详细信息
来源: 评论
Efficient Nonnegative Tensor Decomposition Using Alternating Direction Proximal Method of Multipliers
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Chinese Journal of Electronics 2024年 第5期33卷 1308-1316页
作者: Deqing WANG Guoqiang HU State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Key Laboratory of Marine Robotics Liaoning Province College of Artificial Intelligence Dalian Maritime University
Nonnegative CANDECOMP/PARAFAC(NCP) tensor decomposition is a powerful tool for multiway signal processing. The alternating direction method of multipliers(ADMM) optimization algorithm has become increasingly popul... 详细信息
来源: 评论
FM-RTDETR: Small Object Detection Algorithm Based on Enhanced Feature Fusion With Mamba
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IEEE signal processing LETTERS 2025年 32卷 1570-1574页
作者: Yang, Yuchuan Dai, Jiahui Wang, Yong Chen, Yafei Chongqing Univ Technol Sch Artificial Intelligence Chongqing 401135 Peoples R China
Traditional real-time object detection networks deployed in autonomous aerial vehicles (AAVs) struggle to extract features from small objects in complex backgrounds with occlusions and overlapping objects. To address ... 详细信息
来源: 评论