Results 81 to 90 of about 9,988,930 (255)

A Dynamic Mode Decomposition Based Approach for Epileptic Eeg Classification

, 2021
28th European Signal Processing Conference, EUSIPCO 2020 -- 24 August 2020 through 28 August 2020 -- 165944Epilepsy is a neurological disorder that affects many people all around the world, and its early detection is a topic of research widely studied in
Akan A., Cura O.K., Ozdemir M.A., Pehlivan S., Cura, Ozlem Karabiber, Pehlivan, Sude, Akan, Aydin, Ozdemir, Mehmet Akif   +7 more
core   +1 more source

Multichannel Wiener filter in active sound‐navigation‐and‐ranging systems—A joint beamformer and matched filter approach

IET Radar, Sonar & Navigation
Conventional active SONAR systems often use beamformers and matched filters separately to extract bearing and range information from the received signal and offer a straightforward way of creating a two‐dimensional map of the environment.
Bastian Kaulen, Jan Abshagen, Gerhard Schmidt   +2 more
doaj   +1 more source

Adaptive independent sticky MCMC algorithms

EURASIP Journal on Advances in Signal Processing, 2018
Monte Carlo methods have become essential tools to solve complex Bayesian inference problems in different fields, such as computational statistics, machine learning, and statistical signal processing.
Luca Martino, Roberto Casarin, Fabrizio Leisen, David Luengo   +3 more
doaj   +1 more source

Structural and biochemical analysis of a B12 superbinder

FEBS Letters, EarlyView.
BtuG proteins are vitamin B12 scavengers in Bacteroides thetaiotaomicron, a dominant human gut bacterium. We present crystal structures of three BtuG homologs bound to cobalamin and its precursor cobinamide, revealing picomolar binding affinities, among the highest known for any natural protein.
Jose M. Martinez Felices, Jacob J. Whittaker, Dirk J. Slotboom, Albert Guskov   +3 more
wiley   +1 more source

Wavelets and signal processing [PDF]

A simple, nonrigorous, synthetic view of wavelet theory is presented for both review and tutorial purposes. The discussion includes nonstationary signal analysis, scale versus frequency, wavelet analysis and synthesis, scalograms, wavelet frames and ...
Rioul, Olivier, Vetterli, Martin
core   +3 more sources

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

FEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley   +1 more source

The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation

FEBS Letters, EarlyView.
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge, Vivian Pogenberg, Alexander Baumgart, Bente Siebels, Hartmut Schlüter, Michael Hecht‐Bucher, Aymelt Itzen   +6 more
wiley   +1 more source

Perceptual Loss Function for Neural Modelling of Audio Systems

, 2020
This work investigates alternate pre-emphasis filters used as part of the loss function during neural network training for nonlinear audio processing. In our previous work, the error-to-signal ratio loss function was used during network training, with a ...
Wright, Alec, Välimäki, Vesa, Alec Wright, Vesa Valimaki   +3 more
core   +1 more source

Correlation-based Graph Smoothness Measures In Graph Signal Processing

, 2023
Publisher Copyright: © 2023 European Signal Processing Conference, EUSIPCO. All rights reserved.Graph smoothness is an important prior used for designing sampling strategies for graph signals as well as for regularizing the problem of graph learning ...
Miettinen, Jari, Ollila, Esa, Wang, Xinjue, Vorobyov, Sergiy A.   +3 more
core   +1 more source

PRISM: periodic representation with multiscale and similarity graph modelling for enhanced crystal structure property prediction

npj Computational Materials
Crystal structures are characterised by repeating atomic patterns within unit cells across three-dimensional space, posing unique challenges for graph-based representation learning.
Àlex Solé, Albert Mosella-Montoro, Joan Cardona, Daniel Aravena, Silvia Gómez-Coca, Eliseo Ruiz, Javier Ruiz-Hidalgo   +6 more
doaj   +1 more source