Results 41 to 50 of about 4,215 (185)

Extracting individual contributions from their mixture: a blind source separation approach, with examples from space and laboratory plasmas

, 2010
Multipoint or multichannel observations in plasmas can frequently be modelled as an instantaneous mixture of contributions (waves, emissions, ...) of different origins.
Amblard, Aubry, Bobin, Brekke, Cardoso, Carey, Comon, Dinklage, Dudok de Wit, Dudok de Wit, Haykin, Hyvärinen, Kim, Kuruoglu, Leach, Lean, Lee, Lee, Lopes Cardozo, Moret, Moussaoui, Nascimento, Pedersen, Shi, Ségui   +24 more
core   +4 more sources

Fourier PCA and Robust Tensor Decomposition [PDF]

, 2014
Fourier PCA is Principal Component Analysis of a matrix obtained from higher order derivatives of the logarithm of the Fourier transform of a distribution.We make this method algorithmic by developing a tensor decomposition method for a pair of tensors ...
Anandkumar A., Anandkumar A., Anderson J., Arora S., Belkin M., Belkin M., Cardoso J., Chaudhuri K., Comon P., Dasgupta S., Hyvärinen A., Kannan R.   +11 more
core   +1 more source

Multi-Channel Bin-Wise Speech Separation Combining Time-Frequency Masking and Beamforming

IEEE Access, 2023
This paper presents a novel Blind Source Separation method that can handle convolutive mixtures that may be underdetermined. Our method combines TF masking and beamforming and exploits the source signals sparsity in the Time-Frequency (TF) domain ...
Mostafa Bella, Hicham Saylani, Shahram Hosseini, Yannick Deville   +3 more
doaj   +1 more source

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., Awad, W. A., Ghoneim, M. E., Hassanien, Aboul Ella   +3 more
core   +1 more source

Generic uniqueness of a structured matrix factorization and applications in blind source separation

, 2016
Algebraic geometry, although little explored in signal processing, provides tools that are very convenient for investigating generic properties in a wide range of applications. Generic properties are properties that hold "almost everywhere". We present a
DeLathauwer, Lieven, Domanov, Ignat
core   +1 more source

Audio Source Separation Using Sparse Representations [PDF]

, 2010
This is the author's final version of the article, first published as A. Nesbit, M. G. Jafari, E. Vincent and M. D. Plumbley. Audio Source Separation Using Sparse Representations. In W.
Jafari, MG, Nesbit, A, Plumbley, MD, Vincent, E   +3 more
core   +3 more sources

Disentangling palaeoecological and outcrop controls on MISS occurrence in c. 1 Ga fluvio‐lacustrine facies of the Diabaig Formation, Scotland

Sedimentology, EarlyView.
ABSTRACT The c. 1 Ga Diabaig Formation of north‐west Scotland preserves diverse lacustrine and fluvial facies and abundant microbial and non‐microbial surficial sedimentary features. 172.6 m of section was logged across seven localities to assess the distribution of microbially induced sedimentary structures (MISS) relative to lithofacies, substrate ...
Seán T. Herron, Neil S. Davies, William J. McMahon   +2 more
wiley   +1 more source

DeepGEM‐EGF: A Bayesian Strategy for Joint Estimates of Source‐Time Functions and Empirical Green's Functions

Journal of Geophysical Research: Solid Earth, Volume 130, Issue 12, December 2025.
Abstract An earthquake record is the convolution of source radiation, path propagation and site effects, and instrument response. Isolating the source component requires solving an ill‐posed inverse problem. Whether the instability of inferred source parameters arises from varying properties of the source, or from approximations we introduce in solving
Théa Ragon, Angela F. Gao, Zachary E. Ross   +2 more
wiley   +1 more source

Differential fast fixed-point algorithms for underdetermined instantaneous and convolutive partial blind source separation

, 2007
This paper concerns underdetermined linear instantaneous and convolutive blind source separation (BSS), i.e., the case when the number of observed mixed signals is lower than the number of sources.We propose partial BSS methods, which separate supposedly
Deville, Y., Hosseini, Shahram, Thomas, J.   +2 more
core   +3 more sources

Implicit Neural Representations for Unsupervised Seismic Data Interpolation From Single Gather

Geophysical Prospecting, Volume 73, Issue 9, November 2025.
ABSTRACT Missing seismic traces from data acquisition limits often significantly degrade data quality. This study presents an unsupervised method using implicit neural representation (INR), specifically sinusoidal representation network (SIREN), to enhance seismic data quality from a single shot gather.
Ganghoon Lee, Snons Cheong, Yunseok Choi
wiley   +1 more source