Results 31 to 40 of about 4,335,273 (293)
A graph-based narrowband matched-field source localization method [PDF]
JASA Express Letters, 2021 Matched field processing (MFP) has been regarded as one of the most successful acoustical methods for positioning underwater sources. In this paper, the narrowband MFP method is combined with a recently developed frameworkâthe graph signal processing ...
Peng Xiao, Jianmin Yang
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Multi-level Pipeline Scheduling Algorithm in Heterogeneous Signal Processing Platform [PDF]
Jisuanji gongcheng, 2018 The existing real-time task scheduling algorithm do not consider the difference of node computing power in system heterogeneity,which leads to the imbalance of task partition.Therefore,according to the characteristics of real-time task in the ...
YANG Pingping,YUE Chunsheng,HU Zeming
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Graph Regularization Methods in Soft Detector Fusion
IEEE Access, 2023 This paper presents a theoretical derivation of two new graph-based regularization methods for fusing the individual results of multiple detectors (two-class classifiers).
Addisson Salazar +3 more
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Graph Signal Processing -- Part II: Processing and Analyzing Signals on Graphs
CoRR, 2019 The focus of Part I of this monograph has been on both the fundamental properties, graph topologies, and spectral representations of graphs. Part II embarks on these concepts to address the algorithmic and practical issues centered round data/signal processing on graphs, that is, the focus is on the analysis and estimation of both deterministic and ...
Ljubisa Stankovic +5 more
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On Local Distributions in Graph Signal Processing
IEEE Transactions on Signal Processing, 2022 Graph filtering is the cornerstone operation in graph signal processing (GSP). Thus, understanding it is key in developing potent GSP methods. Graph filters are local and distributed linear operations, whose output depends only on the local neighborhood of each node.
T. Mitchell Roddenberry +3 more
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Partition of Unity Methods for Signal Processing on Graphs [PDF]
Journal of Fourier Analysis and Applications, 2021 Partition of unity methods (PUMs) on graphs are simple and highly adaptive auxiliary tools for graph signal processing. Based on a greedy-type metric clustering and augmentation scheme, we show how a partition of unity can be generated in an efficient way on graphs.
Roberto Cavoretto +2 more
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Advanced techniques on multirate signal processing for digital information processing [PDF]
, 2011 Multirate signal processing has become a key topic enabling efficient techniques for digital information processing in a variety of applications such as digital transceivers s for wireless as well as satellite communication systems, digital broadcasting,
Massimiliano Laddomada +2 more
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Tropical graph signal processing [PDF]
2017 51st Asilomar Conference on Signals, Systems, and Computers, 2017 For the past few years, the domain of graph signal processing has extended classical Fourier analysis to domains described by graphs. Most of the results were obtained by analogy with the study of heat propagation. We propose to perform a similar analysis in the context of tropical algebra, widely used in theoretical computer science to monitor ...
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Apropos of Signal Processing [PDF]
, 2021 Many of the problems addressed by signal processing can be classified as detection, estimation, or prediction. All humans do signal processing every day.
Nandi, AK
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Undirected Graphs: Is the Shift-Enabled Condition Trivial or Necessary?
IEEE Access, 2021 With the growing application of undirected graphs for signal/image processing on graphs and distributed machine learning, we demonstrate that the shift-enabled condition is as necessary for undirected graphs as it is for directed graphs.
Liyan Chen +4 more
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