Results 31 to 40 of about 3,128,219 (294)

Efficient Sparse Recovery and Demixing Using Nonconvex Regularization

IEEE Access, 2019
Sparse demixing aims to separate signals that are sparse in some general dictionary, which has wide applications in signal and image processing, such as in super-resolution, image inpainting, robust sparse recovery, source separation, interference ...
Junhui Mei, Juntong Xi
doaj   +1 more source

Underdetermined noisy blind separation using dual matching pursuits [PDF]

, 2004
Underdetermined blind source separation is a key application in audio where it is desirable to extract multiple sources from a stereo recording. A new variant on the stereo matching pursuit, the dual matching pursuit, is presented whereby independent ...
Sugden, P, Canagarajah, CN, Sugden, Paul
core   +1 more source

Stable Recovery and Separation of Structured Signals by Convex Geometry

IEEE Access, 2022
We consider the ill-posed problem of identifying the signal that is structured in some general dictionary (i.e., possibly redundant or over-complete matrix) from corrupted measurements, where the corruption is structured in another general dictionary. We
Ningning Li, Wengu Chen
doaj   +1 more source

Sparse representations in audio & music: from coding to source separation [PDF]

, 2010
—Sparse representations have proved a powerful toolin the analysis and processing of audio signals and already lieat the heart of popular coding standards such as MP3 andDolby AAC.
Davies, ME, Gribonval, R, Daudet, Laurent, Plumbley, MD, Davies, M.E.; id_orcid, Daudet, L., Blumensath, T., Plumbley, Mark D., Gribonval, Rémi, Davies, Mike E., Plumbley, M.D., Blumensath, Thomas, Gribonval, R., Blumensath, T, Daudet, L, Davies, M.E.   +15 more
core   +1 more source

Probabilistic Modeling Paradigms for Audio Source Separation [PDF]

, 2010
This is the author's final version of the article, first published as E. Vincent, M. G. Jafari, S. A. Abdallah, M. D. Plumbley, M. E. Davies. Probabilistic Modeling Paradigms for Audio Source Separation. In W.
Davies, ME, Maria G. Jafari, Plumbley, MD, Samer A. Abdallah, Emmanuel Vincent, Mark D. Plumbley, Vincent, Emmanuel, Mike E. Davies, Plumbley, Mark, D., Vincent, E, Jafari, MG, Davies, Mike, E., Jafari, Maria, G., Abdallah, Samer, A., Abdallah, SA   +14 more
core   +1 more source

Research on Collision Access Method for Satellite Internet of Things Based on Bayliss Window Function

Sensors
Satellite Internet of Things (IoT) terminals face design constraints regarding low power consumption and light control. These constraints pose a significant collision risk when utilizing traditional random-access protocols, making it challenging to meet ...
Xinjie Zhao, Ziwei Liu, Yuanyuan Xu, Yihan Du, Bin Lyu, Leiyao Liao, Gengxin Zhang   +6 more
doaj   +1 more source

Multi-Scale Convolutional Network for Space-Based ADS-B Signal Separation with Single Antenna

Applied Sciences, 2022
Automatic Dependent Surveillance-Broadcast (ADS-B) signals are very vital in air traffic control. However, the space-based ADS-B signals are easily overlapped and their message cannot be correctly received.
Yan Bi, Chuankun Li
doaj   +1 more source

Signal Separation Using a Mathematical Model of Physiological Signals for the Measurement of Heart Pulse Wave Propagation With Array Radar

IEEE Access, 2020
The arterial pulse wave, which propagates along the artery, is an important indicator of various cardiovascular diseases. By measuring the displacement at multiple parts of the human body, pulse wave velocity can be estimated from the pulse transit time.
Takuya Sakamoto
doaj   +1 more source

Separation of chaotic signals by reservoir computing [PDF]

Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020
We demonstrate the utility of machine learning in the separation of superimposed chaotic signals using a technique called reservoir computing. We assume no knowledge of the dynamical equations that produce the signals and require only training data consisting of finite-time samples of the component signals. We test our method on signals that are formed
Sanjukta Krishnagopal, Michelle Girvan, Edward Ott, Brian R. Hunt   +3 more
openaire   +3 more sources

Neuropsychological and Educational Outcomes in Shwachman–Diamond Syndrome—A Report From the North American Shwachman–Diamond Syndrome Registry

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Shwachman–Diamond syndrome (SDS) is a rare autosomal recessive ribosomopathy characterized by bone marrow failure and multisystem involvement, with emerging evidence of associated neurocognitive impairment. Methods We conducted a retrospective study of 240 individuals with biallelic Shwachman–Bodian–Diamond syndrome (SBDS) mutations
Jane Koo, Melissa Gerstle, Leah Cheng, Richard Cooper, Katherine Coyne, Claire Dusa, Naomi E. Joffe, Diana Schwarz, Sarah Steltz, Akiko Shimamura, Kasiani C. Myers, Thea Quinton   +11 more
wiley   +1 more source