Results 31 to 40 of about 195,151 (333)
Improved Swarm Intelligent Blind Source Separation Based on Signal Cross-Correlation
Sensors, 2021 In recent years, separating effective target signals from mixed signals has become a hot and challenging topic in signal research. The SI-BSS (Blind source separation (BSS) based on swarm intelligence (SI) algorithm) has become an effective method for ...
Jiali Zi +7 more
doaj +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. +2 more
core +1 more source
Relevance of polynomial matrix decompositions to broadband blind signal separation [PDF]
, 2017 The polynomial matrix EVD (PEVD) is an extension of the conventional eigenvalue decomposition (EVD) to polynomial matrices. The purpose of this article is to provide a review of the theoretical foundations of the PEVD and to highlight practical ...
McWhirter, John G. +2 more
core +1 more source
Overcomplete Blind Source Separation by Combining ICA and Binary Time-Frequency Masking [PDF]
, 2005 A limitation in many source separation tasks is that the number of source signals has to be known in advance. Further, in order to achieve good performance, the number of sources cannot exceed the number of sensors.
Kjems, Ulrik +3 more
core +3 more sources
Wavelet Domain Image Separation
, 2002 In this paper, we consider the problem of blind signal and image separation using a sparse representation of the images in the wavelet domain. We consider the problem in a Bayesian estimation framework using the fact that the distribution of the wavelet ...
Ichir, Mahieddine, Mohammad-Djafari, Ali
core +3 more sources
Algorithm of underdetermined convolutive blind source separation for high reverberation environment
Tongxin xuebao, 2023 To separate the underdetermined convolutive mixture signals in the high reverberation environment, a novel algorithm of underdetermined convolutive blind source separation was proposed.Aiming at the influence of high reverberation environment, a global ...
Yuan XIE +3 more
doaj +2 more sources
Underdetermined blind source separation based on Fuzzy C-Means and Semi-Nonnegative Matrix Factorization [PDF]
, 2012 Conventional blind source separation is based on over-determined with more sensors than sources but the underdetermined is a challenging case and more convenient to actual situation.
Alshabrawy, Ossama S. +3 more
core +1 more source
Multiarray Signal Processing: Tensor decomposition meets compressed sensing [PDF]
, 2009 We discuss how recently discovered techniques and tools from compressed sensing can be used in tensor decompositions, with a view towards modeling signals from multiple arrays of multiple sensors.
Comon, Pierre, Lim, Lek-Heng
core +6 more sources
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 +3 more
wiley +1 more source
Molecular Oncology, EarlyView.Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff +11 more
wiley +1 more source