Underdetermined Blind Source Separation in Echoic Environments Using DESPRIT [PDF]
EURASIP Journal on Advances in Signal Processing, 2007 The DUET blind source separation algorithm can demix an arbitrary number of speech signals using M=2 anechoic mixtures of the signals. DUET however is limited in that it relies upon source signals which are mixed in an anechoic environment and which are ...
Scott Rickard, Thomas Melia
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Underdetermined Blind Source Separation of Synchronous Orthogonal Frequency Hopping Signals Based on Single Source Points Detection [PDF]
Sensors, 2017 This paper considers the complex-valued mixing matrix estimation and direction-of-arrival (DOA) estimation of synchronous orthogonal frequency hopping (FH) signals in the underdetermined blind source separation (UBSS).
Chaozhu Zhang, Yu Wang, Fulong Jing
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A Novel Underdetermined Blind Source Separation Method and Its Application to Source Contribution Quantitative Estimation [PDF]
Sensors, 2019 To identify the major vibration and radiation noise, a source contribution quantitative estimation method is proposed based on underdetermined blind source separation.
Jiantao Lu, Wei Cheng, Yanyang Zi
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Fault Feature Extraction for Reciprocating Compressors Based on Underdetermined Blind Source Separation [PDF]
Entropy, 2021 In practical engineering applications, the vibration signals collected by sensors often contain outliers, resulting in the separation accuracy of source signals from the observed signals being seriously affected.
Jindong Wang +4 more
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Underdetermined Blind Audio Source Separation Using Modal Decomposition [PDF]
EURASIP Journal on Audio, Speech, and Music Processing, 2007 This paper introduces new algorithms for the blind separation of audio sources using modal decomposition. Indeed, audio signals and, in particular, musical signals can be well approximated by a sum of damped sinusoidal (modal) components.
Aïssa-El-Bey Abdeldjalil +2 more
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Mixing Matrix Estimation Algorithm for Underdetermined Blind Source Separation [PDF]
IEEE Access, 2021 An original algorithm for underdetermined mixing matrix estimation is proposed in this paper, which can estimate the mixing matrix effectively when the number of source signals is unknown.
Weihong Fu +4 more
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Sparse Component Analysis (SCA) Based on Adaptive Time—Frequency Thresholding for Underdetermined Blind Source Separation (UBSS) [PDF]
Sensors, 2023 Blind source separation (BSS) recovers source signals from observations without knowing the mixing process or source signals. Underdetermined blind source separation (UBSS) occurs when there are fewer mixes than source signals. Sparse component analysis (
Norsalina Hassan, Dzati Athiar Ramli
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Adaptive DBSCAN Clustering and GASA Optimization for Underdetermined Mixing Matrix Estimation in Fault Diagnosis of Reciprocating Compressors [PDF]
Sensors, 2023 Underdetermined blind source separation (UBSS) has garnered significant attention in recent years due to its ability to separate source signals without prior knowledge, even when sensors are limited.
Yanyang Li +4 more
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Underdetermined Joint Blind Source Separation of Multiple Datasets
IEEE Access, 2017 In this paper, we tackle the problem of jointly separating instantaneous linear underdetermined mixtures of latent sources from multiple data sets, where the number of sources exceeds that of observations in each data set.
Liang Zou +3 more
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A Regularized Weighted Smoothed L0 Norm Minimization Method for Underdetermined Blind Source Separation [PDF]
Sensors, 2018 Compressed sensing (CS) theory has attracted widespread attention in recent years and has been widely used in signal and image processing, such as underdetermined blind source separation (UBSS), magnetic resonance imaging (MRI), etc.
Linyu Wang +3 more
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