Results 51 to 60 of about 4,335,273 (293)

Speaker verification method based on cross-domain attentive feature fusion

Tongxin xuebao, 2023
Aiming at the problem that the lack of structure information among speech signal sample in the front-end acoustic features of speaker verification system, a speaker verification method based on cross-domain attentive feature fusion was proposed.Firstly ...
Zhen YANG, Tianlang WANG, Haiyan GUO, Tingting WANG   +3 more
doaj   +2 more sources

GSD: An R package for graph signal decomposition

SoftwareX
Graph signals residing on the vertices of a graph have recently gained prominence in research of various fields, including neural networks, social networks, traffic patterns, and sensors.
Hyeonglae Cho, Hee-Seok Oh, Donghoh Kim
doaj   +1 more source

Adaptive sign algorithm for graph signal processing

Signal Processing, 2022
Efficient and robust online processing technique of irregularly structured data is crucial in the current era of data abundance. In this paper, we propose a graph/network version of the classical adaptive Sign algorithm for online graph signal estimation under impulsive noise.
Yi Yan, Ercan E. Kuruoglu, Mustafa A. Altinkaya   +2 more
openaire   +2 more sources

Graph Neural Network Sensitivity Under Probabilistic Error Model

, 2022
Publisher Copyright: © 2022 European Signal Processing Conference, EUSIPCO. All rights reserved.Graph convolutional networks (GCNs) can successfully learn the graph signal representation by graph convolution.
Wang, Xinjue, Ollila, Esa, Vorobyov, Sergiy A.   +2 more
core  

Signal Processing [PDF]

, 2010
This book intends to provide highlights of the current research in signal processing area and to offer a snapshot of the recent advances in this field.

core   +1 more source

IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements (Part 2) [From the Guest Editors]

, 2023
Signal Processing ...
Zhu, Xiaoxing (author), Jutten, Christian, Adali, Tulay,, Zhao, Hong Vicky (author), Braga-Neto, Ulisses,, Jutten, Christian (author), Blanc-Feraud, Laure,, Blanc-Feraud, Laure, Ghoraani, Behnaz (author), Adali, Tulay, Ghoraani, Behnaz, Zhu, Xiaoxing, Zhu, Xiaoxing,, Ghoraani, Behnaz,, Adali, Tulay (author), Braga-Neto, Ulisses (author), Björnson, Emil,, Guido, Rodrigo Capobianco,, Guido, Rodrigo Capobianco (author), Bjornson, Emil (author), van der Veen, Alle-Jan,, Bjornson, Emil, Zhao, Hong Vicky, van der Veen, A.J. (author), Jutten, Christian,, Blanc-Feraud, Laure (author), Zhao, Hong Vicky,, Braga-Neto, Ulisses, Van Der Veen, Alle-Jan, Guido, Rodrigo Capobianco [UNESP]   +29 more
core   +1 more source

Statistical Graph Signal Processing: Stationarity and Spectral Estimation

, 2018
Stationarity is a cornerstone property that facilitates the analysis and processing of random signals in the time domain. Although time-varying signals are abundant in nature, in many contemporary applications the information of interest resides in more ...
Segarra, Santiago (author), Marques, Antonio G. (author), Chepuri, S.P. (author), Leus, G.J.T. (author)   +3 more
core   +1 more source

Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation

FEBS Letters, EarlyView.
Sorbitol‐induced hyperosmotic stress rapidly induces reversible mono(ADP‐ribosyl)ation (MARylation) on PARP1 without the signs of genotoxic signaling. We show that PARP1 autoMARylation is HPF1 dependent and forms hydroxylamine‐resistant O‐glycosidic linkages.
Anna Georgina Kopasz, Mihály Mérey, Rebeka Vásárhelyi, Ramóna Pék, Victor Imburchia, László Henn, Adrián Kószó, Nicholas D. Lakin, Ivan Ahel, Sébastien Huet, Ágnes Czibula, Gyula Timinszky   +11 more
wiley   +1 more source

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, Guobing LI, Yuan CHEN, Guomei ZHANG   +3 more
doaj   +2 more sources

Graph Signal Smoothness Based Feature Learning of Brain Functional Networks in Schizophrenia

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
In this paper we study the brain functional network of schizophrenic patients based on resting-state fMRI data. Different from the region of interest (ROI)-level brain networks that describe the connectivity between brain regions, this paper constructs a
Xiaoying Song, Li Chai
doaj   +1 more source