Due to the shortage of radio spectrum in the current 5G and upcoming 6G systems, the
cognitive radio (CR) technique is indispensable for spectrum management and can put the …

A novel blind source separation (BSS) method for time-delayed mixtures in underdetermined
case is studied in this paper. The proposed method not only addresses the problem of …

This brief proposes an effective implementation for addressing permutation ambiguity issue
of convolutive blind source separation in frequency domain. Generally, signal envelope and …

To explore the online tensor analysis technique in single-aspect streaming model, a tensor
based unified framework encompassed more tensor formats than one is proposed according …

A novel single‐channel blind source separation method is studied. This method not only
addresses the problem that the traditional blind source separation method depends on the …

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 all …

Blind modulation recognition (BMR) involves identifying the modulation scheme of intercepted
signals, an essential component of terrestrial radio management. While deep learning (DL…

In order to explore the effective statistical information of observed signals to stack into a tensor,
while reduce the computational complexity and speed up the convergence, a new tensor-…

Blind multicarrier waveform recognition has become a more daunting task and open problem
for the current and future radio surveillance and signals interception, with the advent of …

The key to single-channel time-domain speech separation lies in encoding the mixed speech
into latent feature representations by encoder and obtaining the accurate estimation of the …