Results 41 to 50 of about 5,709,929 (152)
Denoising and Destriping Hyperspectral Images Using Double Graph Laplacian Regularizers
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 This article proposes a novel hyperspectral image (HSI) denoising and destriping method based on graph signal processing that fully exploits the HSI properties.
Fang Yang, Xin Chen, Zhi Zhang, Li Chai
doaj +1 more source
Graph signal processing based underwater image enhancement techniques
Engineering Science and Technology, an International Journal, 2022 This paper presents two new methods based on graph signal processing (GSP) techniques to enhance underwater images. The proposed schemes utilize the graph Fourier transform (GFT) and graph wavelet filterbanks in place of the conventional Fourier and ...
Shobha Sharma, Tarun Varma
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Graph Signal Processing: History, Development, Impact, and Outlook
, 2023 Graph signal processing (GSP) generalizes signal processing (SP) tasks to signals living on non-Euclidean domains whose structure can be captured by a weighted graph.
Shuman, David I +4 more
core +2 more sources
Graph signal processing based pilot pattern design and channel estimation for OFDM system
物联网学报, 2022 Orthogonal frequency division multiplexing (OFDM) is one of the key technologies in the physical layer of the internet of things (IoT).Pilot design and channel estimation are key issues in OFDM systems.In view of the problem of performance loss by fixed ...
Bin HE +3 more
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Leak detection in water distribution networks based on graph signal processing of pressure data
Journal of Hydroinformatics, 2023 Leakages in water distribution networks (WDNs) affect the hydraulic state of the entire or a large part of the network. Statistical correlation computed among pressure sensors monitoring network nodes aids the detection and localization of such leaks ...
Daniel Bezerra Barros +3 more
doaj +1 more source
A graph-based signal processing approach for low-rate energy disaggregation [PDF]
, 2014 Graph-based signal processing (GSP) is an emerging field that is based on representing a dataset using a discrete signal indexed by a graph. Inspired by the recent success of GSP in image processing and signal filtering, in this paper, we demonstrate how
Stankovic, Lina +5 more
core +4 more sources
Non-intrusive load disaggregation using graph signal processing [PDF]
, 2018 With the large-scale roll-out of smart metering worldwide, there is a growing need to account for the individual contribution of appliances to the load demand.
Stankovic, Lina +3 more
core +3 more sources
Body Motion Segmentation via Multilayer Graph Processing for Wearable Sensor Signals
IEEE Open Journal of Signal ProcessingHuman body motion segmentation plays a major role in many applications, ranging from computer vision to robotics. Among a variety of algorithms, graph-based approaches have demonstrated exciting potential in motion analysis owing to their power to ...
Qinwen Deng, Songyang Zhang, Zhi Ding
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Kernelized multiview signed graph learning for single-cell RNA sequencing data
BMC Bioinformatics, 2023 Background Characterizing the topology of gene regulatory networks (GRNs) is a fundamental problem in systems biology. The advent of single cell technologies has made it possible to construct GRNs at finer resolutions than bulk and microarray datasets ...
Abdullah Karaaslanli +3 more
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The Anatomical Record, EarlyView.Abstract The equine ovary exhibits unique structural and developmental features that distinguish it from those of other domestic species, including the presence of an ovulation fossa and an inversion of cortical and medullary layers. This study aimed to investigate the morphostructural development of the equine fetal ovary, with particular emphasis on ...
Laura Ver Goltz +5 more
wiley +1 more source