Results 71 to 80 of about 5,220,012 (288)

Translophagy—A potential link between autophagy impairment and translational errors

open access: yesFEBS Letters, EarlyView.
Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk   +11 more
wiley   +1 more source

Fast Spectral Approximation of Structured Graphs with Applications to Graph Filtering

open access: yesAlgorithms, 2020
To analyze and synthesize signals on networks or graphs, Fourier theory has been extended to irregular domains, leading to a so-called graph Fourier transform.
Mario Coutino   +3 more
doaj   +1 more source

GSPBOX: A toolbox for signal processing on graphs

open access: yesCoRR, 2014
This document introduces the Graph Signal Processing Toolbox (GSPBox) a framework that can be used to tackle graph related problems with a signal processing approach. It explains the structure and the organization of this software. It also contains a general description of the important modules.
Perraudin, Nathanaël   +6 more
openaire   +3 more sources

Signal processing on kernel-based random graphs [PDF]

open access: yes2017 25th European Signal Processing Conference (EUSIPCO), 2017
Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Matthew W. Morency, Geert Leus
openaire   +2 more sources

Robust Least Mean Squares Estimation of Graph Signals

open access: yes, 2019
Recovering a graph signal from samples is a central problem in graph signal processing. Least mean squares (LMS) method for graph signal estimation is computationally efficient adaptive method.
Miettinen, Jari   +2 more
core   +1 more source

Unlimited dynamic range signal recovery for folded graph signals

open access: yes, 2022
Recovery of a graph signal from samples has many important applications in signal processing over networks and graph-structured data. To capture very high or even unlimited dynamic range signals, modulo sampling has been investigated.
Ji, Feng   +5 more
core   +1 more source

Twenty-five years of sensor array and multichannel signal processing: a review of progress to date and potential research directions [PDF]

open access: yes, 2023
In this article, a general introduction to the area of sensor array and multichannel signal processing is provided, including associated activities of the IEEE Signal Processing Society (SPS) Sensor Array and Multichannel (SAM) Technical Committee (TC ...
W. Liu   +19 more
core   +1 more source

Functional comparison of EncB and EncC cargo proteins in iron storage within the Myxococcus xanthus encapsulin

open access: yesFEBS Letters, EarlyView.
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell   +2 more
wiley   +1 more source

Doppler Shift Estimation Method for Frequency Diverse Array Radar Based on Graph Signal Processing

open access: yesRemote Sensing
In this paper, a novel Doppler shift estimation method for frequency diverse array (FDA) radar based on graph signal processing (GSP) theory is proposed and investigated. First, a well-designed graph signal model for a monostatic linear FDA is formulated.
Ningbo Xie   +5 more
doaj   +1 more source

From Time–Frequency to Vertex–Frequency and Back

open access: yesMathematics, 2021
The paper presents an analysis and overview of vertex–frequency analysis, an emerging area in graph signal processing. A strong formal link of this area to classical time–frequency analysis is provided.
Ljubiša Stanković   +5 more
doaj   +1 more source

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