In forward blind source separation (FBSS) scenarios, subband adaptive filtering (SAF)
algorithms provide fast convergence due to the SAF decorrelation ability. However, existing …

To address the significant performance degradation of conventional underdetermined blind
source separation algorithms for frequency-hop** (FH) signals under time-frequency (TF) …

Blind source separation (BSS) is a critical task in untangling non-stationary signals without
prior information. This paper extensively explores diverse time-frequency analysis (TFA) …

Aiming at the problem of insufficient separation accuracy of aliased signals in space Internet
satellite-ground communication scenarios, a stacked long short-term memory network …

Blind separation of sources (BSS) is to recover the source signals from the observed mixture
signals with no knowledge on the mixing channel. Recently, there has been more and more …

Abstract Blind Source Separation (BSS) of complex signals composed of radar,
communication and jamming signals is the first step in an integrated electronic system …

In order to overcome the difficulty of identifying multiple electromagnetic radiation sources
(EMRS) of the same frequency and wideband EMRS, a deep neural network model based …

The signal acquisition process is limited by the installation position and number of sensors
in particular types of equipment. Moreover, the observed signals are often compounded by …

Particularly, environmental pollution, such as air pollution, is still a significant issue of
concern all over the world and thus requires the identification of good models for prediction …

卷积混叠环境下的盲源分离(Blind source separation, BSS) 是一个极具挑战性和实际意义的
问题. 本文在独立分量分析框架下, 建立非负矩阵分解(Nonnegative matrix factorization, NMF) …