Results 101 to 110 of about 5,520,700 (190)

Time-Domain Convolutive Blind Source Separation Employing Selective-Tap Adaptive Algorithms

EURASIP Journal on Audio, Speech, and Music Processing, 2007
We investigate novel algorithms to improve the convergence and reduce the complexity of time-domain convolutive blind source separation (BSS) algorithms. First, we propose MMax partial update time-domain convolutive BSS (MMax BSS) algorithm.
Pan Qiongfeng, Aboulnasr Tyseer
doaj  

Improved Swarm Intelligent Blind Source Separation Based on Signal Cross-Correlation. [PDF]

Sensors (Basel), 2021
Zi J, Lv D, Liu J, Huang X, Yao W, Gao M, Xi R, Zhang Y.   +7 more
europepmc   +1 more source

The spatial frequency domain designated watermarking framework uses linear blind source separation for intelligent visual signal processing. [PDF]

Front Neurorobot, 2022
Kumari R, Mustafi A.
europepmc   +1 more source

Estimating the neural spike train from an unfused tetanic signal of low-threshold motor units using convolutive blind source separation. [PDF]

Biomed Eng Online, 2023
Rohlén R, Lundsberg J, Antfolk C.
europepmc   +1 more source

Fault Feature Extraction for Reciprocating Compressors Based on Underdetermined Blind Source Separation. [PDF]

Entropy (Basel), 2021
Wang J, Chen X, Chen X, Zhao H, Li Y, Liu Z.   +5 more
europepmc   +1 more source

Blind Source Separation for Compositional Time Series. [PDF]

Math Geosci, 2021
Nordhausen K, Fischer G, Filzmoser P.
europepmc   +1 more source

Single-Channel Blind Source Separation of Spatial Aliasing Signal Based on Stacked-LSTM. [PDF]

Sensors (Basel), 2021
Zhao M, Yao X, Wang J, Yan Y, Gao X, Fan Y.   +5 more
europepmc   +1 more source

Weighted Blind Source Separation Can Decompose the Frequency Mismatch Response by Deviant Concatenation: An MEG Study. [PDF]

Front Neurol, 2022
Matsubara T, Stufflebeam S, Khan S, Ahveninen J, Hämäläinen M, Goto Y, Maekawa T, Tobimatsu S, Kishida K.   +8 more
europepmc   +1 more source

Blind source separation dependent component analysis

, 2015
This book provides readers a complete and self-contained set of knowledge about dependent source separation, including the latest development in this field.
Yong Xiang (13101027), Z Yang (5161979), D Peng (13315233)   +2 more
core  

Breaking the denoising dilemma in NMR spectroscopy by blind source separation. [PDF]

Chem Sci
Zhan H, Li Y, Yuan Y, Huang Y, Chen Z.
europepmc   +1 more source