Blind source separation using kurtosis, negentropy and maximum likelihood functions
M Kumar, VE Jayanthi - International Journal of Speech Technology, 2020 - Springer
Independent component analysis (ICA) is a thriving tool in separating blind sources from its
determined or over-determined instantaneous mixture signals. FastICA is one of the …
determined or over-determined instantaneous mixture signals. FastICA is one of the …
Sparse component analysis (SCA) based on adaptive time—frequency thresholding for underdetermined blind source separation (UBSS)
Blind source separation (BSS) recovers source signals from observations without knowing
the mixing process or source signals. Underdetermined blind source separation (UBSS) …
the mixing process or source signals. Underdetermined blind source separation (UBSS) …
Multi-Channel Bin-Wise Speech Separation Combining Time-Frequency Masking and Beamforming
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 …
mixtures that may be underdetermined. Our method combines TF masking and beamforming …
Underdetermined blind source separation based on third‐order cumulant and tensor compression
W Luo, X Li, H Jin, H Li, K Yuan… - IET Radar, Sonar & …, 2024 - Wiley Online Library
A method for Underdetermined Blind Source Separation is proposed using third‐order
cumulants and tensor compression. To effectively suppress symmetrical distributed noise …
cumulants and tensor compression. To effectively suppress symmetrical distributed noise …
Bin-wise combination of time-frequency masking and beamforming for convolutive source separation
This paper presents a new Blind Source Separation (BSS) method for convolutive mixtures
that can be underdeter-mined. Exploiting the sparsity of the source signals in the Time …
that can be underdeter-mined. Exploiting the sparsity of the source signals in the Time …
A Density Based Clustering Approach to Underdetermined Blind Source Separation
Y Wang, Q Wang - 2021 China Automation Congress (CAC), 2021 - ieeexplore.ieee.org
Blind source separation (BSS) is the process recovering the source signals unknown. Once
the number of observed signal is less than the source, it can be referred to underdetermined …
the number of observed signal is less than the source, it can be referred to underdetermined …
An Underdetermined Convolutional Blind Separation Algorithm for Time–Frequency Overlapped Wireless Communication Signals with Unknown Source Number
H Ma, X Zheng, L Yu, X Wu, Y Zhang - Applied Sciences, 2022 - mdpi.com
It has been challenging to separate the time–frequency (TF) overlapped wireless
communication signals with unknown source numbers in underdetermined cases. In order to …
communication signals with unknown source numbers in underdetermined cases. In order to …