In this paper, we study ACK/NACK messages detection in the LTE physical uplink control
channel (PUCCH) with multiple receive antennas. The LTE PUCCH is typically …

The recent years had witnessed a resurgence on neural network. Many hidden layers were
stacked hierarchically to learn the high-level representations. Great performances were …

The modern battlefield is getting more complicated due to the increasing number of different
radiation sources as well as their fierce contention (interference) and confrontations …

Visible light communication (VLC) has emerged as a secure, cost-effective, and green
supplement to the existing radio frequency (RF) communication systems. However, the …

In uncoordinated spectrum scenarios, such as shared spectrum, accurate spectral analysis
is challenging if devices are interfering with one another. This paper examines wireless …

Abstract Label Distribution Learning (LDL) is a general learning paradigm in machine
learning, which includes both single-label learning (SLL) and multilabel learning (MLL) as …

Modulation recognition is an important task in radio signal processing. Most of the current
researches focus on supervised learning. However, in many real scenarios, it is difficult and …

Cyclic block filtered multi-tone (CB-FMT) is a waveform that can be efficiently synthesized
through a filter-bank in the frequency domain. Although the main principles have been …

Soft demodulation of received symbols into bit log-likelihood ratios (LLRs) is at the very
heart of multiple-input-multiple-output (MIMO) detection. However, the optimal maximum a …

The advancement of deep learning (DL) techniques has led to significant progress in
Automatic Modulation Classification (AMC). However, most existing DL-based AMC …