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
Blind signal separation algorithm based on temporal predictability and differential search algorithm
Tongxin xuebao, 2014 A novel blind signal separation algorithm based on differential search was proposed for solving the high cal-culated amount problem in blind signal separation algorithm based on bio-inspired optimization.
Lei CHEN +4 more
doaj +2 more sources
Blind source separation methods for deconvolution of complex signals in cancer biology
, 2013 Two blind source separation methods (Independent Component Analysis and Non-negative Matrix Factorization), developed initially for signal processing in engineering, found recently a number of applications in analysis of large-scale data in molecular ...
Kairov, Ulykbek +3 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
Single-Channel Blind Image Separation Based on Transformer-Guided GAN
Sensors, 2023 Blind source separation (BSS) has been a great challenge in the field of signal processing due to the unknown distribution of the source signal and the mixing matrix.
Yaya Su +3 more
doaj +1 more source
Blind Separation Of Cyclostationary Signals
, 1998 Publication in the conference proceedings of EUSIPCO, Rhodes, Greece ...
Adriana Dapena +2 more
openaire +2 more sources
Neural Full-Rank Spatial Covariance Analysis for Blind Source Separation
IEEE Signal Processing Letters, 2021 This paper describes aneural blind source separation (BSS) method based on amortized variational inference (AVI) of a non-linear generative model of mixture signals.
Yoshiaki Bando +5 more
semanticscholar +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
Convolutive Blind Source Separation for Communication Signals Based on the Sliding Z-Transform
IEEE Access, 2020 Convolutive blind source separation (CBSS) is one of the main branches in the field of intelligent signal processing. Inspired by the thought of sliding discrete Fourier transform (DFT), an idea of the sliding Z-transform is introduced in the present ...
Yinjie Jia, Pengfei Xu
doaj +1 more source
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