Results 111 to 120 of about 5,520,700 (190)

Blind Source Separation Method Based on Neural Network with Bias Term and Maximum Likelihood Estimation Criterion. [PDF]

Sensors (Basel), 2021
Liu S, Wang B, Zhang L.
europepmc   +1 more source

Blind Source Separation Based on Sparsity

CoRR
Blind source separation (BSS) is a key technique in array processing and data analysis, aiming to recover unknown sources from observed mixtures without knowledge of the mixing matrix. Classical independent component analysis (ICA) methods rely on the assumption that sources are mutually independent.
openaire   +3 more sources

Transformer-Based Nonlinear Blind Source Separation for Anti-Jamming in DSSS Satellite Communications. [PDF]

Sensors (Basel)
Sun X, Li C, Li J, Su Q.
europepmc   +1 more source

Anisotropic local covariance matrices for spatial blind source separation. [PDF]

Adv Stat Anal
Muehlmann C, Cappello C, De Iaco S, Nordhausen K.   +3 more
europepmc   +1 more source

A Novel Radar Mainlobe Anti-Jamming Method via Space-Time Coding and Blind Source Separation. [PDF]

Sensors (Basel)
Ge X, Wang Y, Zheng Y, Jin G, Zhu D.
europepmc   +1 more source

Kernel-FastICA-Based Nonlinear Blind Source Separation for Anti-Jamming Satellite Communications. [PDF]

Sensors (Basel)
Sun X, Li C, Li J, Su Q.
europepmc   +1 more source

Blind source separation and unmanned aerial vehicle classification using CNN with hybrid cross-channel and spatial attention module. [PDF]

Sci Rep
Ni J, Zhou Z.
europepmc   +1 more source

An Anti-Mainlobe Suppression Jamming Method Based on Improved Blind Source Separation Using Variational Mode Decomposition and Wavelet Packet Decomposition. [PDF]

Sensors (Basel)
Li R, He H, Liu X, Wang L, You Y, Li Z, Han X.   +6 more
europepmc   +1 more source

Elementary Cost Functions For Blind Separation Of Non-Stationary

, 2008
Blind source separation (BSS) is a problem found in many applications related to acoustics or communications. This paper addresses the blind source separation problem for the case where the source signals are non-stationary and the sensors are noisy.
Marcel Joho, Russell H. Lambert, Heinz Mathis, Source Signals Marcel   +3 more
core  

Secure and Intelligent Single-Channel Blind Source Separation via Adaptive Variational Mode Decomposition with Optimized Parameters. [PDF]

Sensors (Basel)
Yan M, Chen L, Hu W, Sun Z, Zhou X, Zhou X.   +5 more
europepmc   +1 more source