Results 71 to 80 of about 2,361,330 (284)

Deep Source Separation With Prior

IEEE Access
Blind Source Separation (BSS) methods are used in digital signal processing to recover latent sources from a set of observed mixed signals, with little or no prior knowledge of the sources or the mixing process.
Rodrigo Da Silva Cassimiro, Kenji Nose-Filho, Ricardo Suyama   +2 more
doaj   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source

Performing Nonlinear Blind Source Separation with Signal Invariants

, 2009
Given a time series of multicomponent measurements x(t), the usual objective of nonlinear blind source separation (BSS) is to find a "source" time series s(t), comprised of statistically independent combinations of the measured components. In this paper,
Levin, David N.
core   +1 more source

Hyperbolic Audio Source Separation

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
Submitted to ICASSP 2023, Demo page: https://darius522.github.io/hyperbolic-audio-sep/
Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian, Jonathan Le Roux   +3 more
openaire   +2 more sources

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

FEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi, Pilar Samperio Ventayol, Natalie Burkard, Nicolas Schlegel, Carmen Aguilar, Sina Bartfeld   +5 more
wiley   +1 more source

Blind nonnegative source separation using biological neural networks

, 2017
Blind source separation, i.e. extraction of independent sources from a mixture, is an important problem for both artificial and natural signal processing.
Chklovskii, Dmitri B., Mohan, Sreyas, Pehlevan, Cengiz   +2 more
core   +1 more source

Blind wideband source separation [PDF]

Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing, 2002
This paper deals with the general problem of separating two independent wideband sources when they are mixed by unknown filters. In order to solve this problem, a backward framework is proposed which is composed of two different stages. The first one consists of two linear predictors devoted to improve the source separation, whitening the input signals.
Nájar Martón, Montserrat, Lagunas Hernandez, Miguel A., Bonet, I   +2 more
openaire   +2 more sources

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Factors Influencing Source Separation Intention for Improving Waste Management in Educational Places: A Case Study for a University Campus

International Journal of Environmental Health Engineering
Aim: This research addresses gaps in waste management practices and promotes sustainable waste management initiatives at the university level. Methods: This study investigates the factors influencing source separation intention to improve waste ...
Edris Hoseinzadeh, Mahdi Farzadkia, Ghodratollah Roshanaei, Alireza Hosseinbaba   +3 more
doaj   +1 more source

Shift-Invariant Kernel Additive Modelling for Audio Source Separation

, 2018
A major goal in blind source separation to identify and separate sources is to model their inherent characteristics. While most state-of-the-art approaches are supervised methods trained on large datasets, interest in non-data-driven approaches such as ...
Ewert, Sebastian, O'Hanlon, Ken, Sandler, Mark B., Yela, Delia Fano   +3 more
core   +1 more source