A comprehensive survey on blind source separation for wireless adaptive processing: Principles, perspectives, challenges and new research directions

Z Luo, C Li, L Zhu - IEEE Access, 2018 - ieeexplore.ieee.org
With the rapid proliferation of wireless services, the frequency spectrum has become
increasingly crowded, and the interferences and composite signals will be ubiquitous in the …

Estimation of the complex‐valued mixing matrix by single‐source‐points detection with less sensors than sources

H Li, Y Shen, J Wang, X Ren - Transactions on Emerging …, 2012 - Wiley Online Library
This paper essentially considers the direction‐of‐arrival (DOA) estimation of far‐field source
signals in the underdetermined blind separation, where the mixing matrix is complex …

Blind adaptive beamforming for cyclostationary signals: a subspace projection approach

JH Lee, CC Huang - IEEE Antennas and Wireless Propagation …, 2009 - ieeexplore.ieee.org
In this letter, we present an efficient method for blind adaptive beamforming with
cyclostationary signals. In comparison with the SCORE algorithms of Agee et al.(Proc. IEEE …

Three-Level Distributed Real-Time Monitoring of Construction near Underground Infrastructure Using a Combined Intelligent Method

B Zhou, Y Gui, X Wang, X Xie - Sensors, 2022 - mdpi.com
With the rapid development of underground infrastructure and the uncertainty of its location,
the possibility of damage due to nearby construction has increased. Thus, for the early …

[PDF][PDF] An optimal MMSE fuzzy predictor for SISO and MIMO blind equalization

R Ferrari, R Suyama, RR Lopes, RRF Attux… - First IAPR workshop on …, 2008 - eurasip.org
The present work deals with the research of optimal solutions in unsupervised and nonlinear
signal processing. The proposed framework is based on nonlinear prediction, to be …