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   Articles with "graph signal" as a keyword



Radio Map Construction via Graph Signal Processing for Indoor Localization

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recommendations! Published in 2024 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2023.3344223

Abstract: Recently, fingerprint-based localization has become a promising solution for indoor positioning because of its great performance in complex multipath environments. However, the extensive time and labor effort of constructing the radio map has become the… read more here.

Keywords: map construction; radio map; map; localization ... See more keywords

Data-Reuse Adaptive Algorithms for Graph Signal Estimation Over Sensor Network

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recommendations! Published in 2024 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2023.3348521

Abstract: The least mean square (LMS) algorithm of graph signal processing (GSP) can be used for sensor signal processing due to its simplicity and low computational complexity, and the recursive least squares (RLS) algorithm of GSP… read more here.

Keywords: gsp; graph signal; data reuse; performance ... See more keywords

Transient Error Analysis of the LMS and RLS Algorithm for Graph Signal Estimation

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recommendations! Published in 2025 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2025.3576173

Abstract: Recently, the proposal of the least mean square (LMS) and recursive least squares (RLS) algorithm for graph signal processing (GSP) provides excellent solutions for processing signals defined on irregular structures such as sensor networks. The… read more here.

Keywords: gsp; algorithm; rls algorithm; graph signal ... See more keywords

An Efficient Placement Speedup Technique Based on Graph Signal Processing

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recommendations! Published in 2025 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2025.3556968

Abstract: Placement is a critical task with high computation complexity in VLSI physical design. Modern analytical placers formulate the placement objective as a nonlinear optimization task, which suffers a long iteration time. To accelerate and enhance… read more here.

Keywords: signal processing; placement; graph signal; gift ... See more keywords

Time-Varying Graph Signal Denoising via Median Filters

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recommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems II: Express Briefs"

DOI: 10.1109/tcsii.2020.3017800

Abstract: Graph Signal Processing (GSP) leverages pair-wise relationship between nodes of a graph to formulate operators on signals defined over the nodes. Most existing graph signal operators in the literature are linear, and can be described… read more here.

Keywords: graph signal; time; varying graph; median filters ... See more keywords

Statistical Graph Signal Recovery Using Variational Bayes

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recommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems II: Express Briefs"

DOI: 10.1109/tcsii.2020.3045217

Abstract: This brief investigates the problem of Graph Signal Recovery (GSR) when the topology of the graph is not known in advance. In this brief, the elements of the weighted adjacency matrix is statistically related to… read more here.

Keywords: graph signal; statistical graph; recovery using; signal recovery ... See more keywords

Joint Topology Learning and Graph Signal Recovery Using Variational Bayes in Non-Gaussian Noise

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recommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"

DOI: 10.1109/tcsii.2021.3109339

Abstract: This brief proposes a joint graph signal recovery and topology learning algorithm using a Variational Bayes (VB) framework in the case of non-Gaussian measurement noise. It is assumed that the graph signal is Gaussian Markov… read more here.

Keywords: topology; noise; non gaussian; graph signal ... See more keywords

Graph Signal Sampling-Based Active Learning for Hyperspectral Image Classification

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recommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2025.3619985

Abstract: Active learning (AL) has achieved great success in remotely sensed hyperspectral image (HSI) classification due to its ability to select highly informative training samples. An appropriate query strategy is the core of a successful AL… read more here.

Keywords: classification; hyperspectral image; sampling based; active learning ... See more keywords
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Non-Intrusive Load Disaggregation Using Graph Signal Processing

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recommendations! Published in 2018 at "IEEE Transactions on Smart Grid"

DOI: 10.1109/tsg.2016.2598872

Abstract: 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. In this paper, we design a graph signal processing (GSP)-based… read more here.

Keywords: non intrusive; signal processing; gsp based; approach ... See more keywords

A Graph Signal Processing Framework for Detecting and Locating Cyber and Physical Stresses in Smart Grids

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recommendations! Published in 2022 at "IEEE Transactions on Smart Grid"

DOI: 10.1109/tsg.2022.3177154

Abstract: Monitoring the smart grid involves analyzing continuous data-stream from various measurement devices deployed throughout the system, which are topologically distributed and structurally interrelated. In this paper, a graph signal processing (GSP) framework is used to… read more here.

Keywords: signal processing; detecting locating; graph signal; cyber physical ... See more keywords

Multimodal Dynamic Brain Connectivity Analysis Based on Graph Signal Processing for Former Athletes With History of Multiple Concussions

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recommendations! Published in 2020 at "IEEE Transactions on Signal and Information Processing over Networks"

DOI: 10.1109/tsipn.2020.2982765

Abstract: The study of structure-function relationships in the brain has been an active area of research in neuroscience. The availability of brain imaging data that captures the structural connectivity and functional co-activation of the brain regions… read more here.

Keywords: graph signal; former athletes; signal processing; connectivity ... See more keywords