Molecular communication presents a new approach for data transmission between
miniaturised devices, especially in the context of medical applications. A communication link …

Demodulation techniques are of central importance for achieving intelligent receiving.
Improvement in demodulation performance enhances the overall performance of a …

Automatic modulation classification (AMC), which plays a significant role in wireless
communication, can recognize the modulation type of the received signal without large …

This paper presents a new method for noise-immune demodulation of BPSK signals. It is
based on the use of an artificial neural network and signal randomization. Signal …

Natural gas pumping unit is a very difficult object for diagnosis. A lot of combinations of
technical equipment, different operational conditions, and other factors require design and …

In recent years, more and more attention has been paid to the use of artificial neural
networks (ANN) for the diagnostics of gas pumping units (GPU). Usually, ANN training is …

The anti-interference capability of wireless links is a physical layer problem for edge
computing. Although convolutional codes have inherent error correction potential due to the …

One major challenge for wireless receivers to maintain information fidelity involves the
demodulation of faded signals in noisy environments. Typical demodulation techniques for …

The current industrial, scientific and medical band transceivers provide I (in-phase) Q
(quadrature) samples which are generated at the output of the analog-to-digital converter or …

This paper addresses the problem of creating a tool for categorizing dogs' vocal expressions
into emotional states. Animal vocalizations can now be automatically classified using …