Digital communications techniques based on random, chaotic, or noisy carriers are well
known and successfully used in a number of applications. Simple on-off or amplitude shift …

In this paper we present the symbol and bit error rate performance of the weak signal digital
communications system. We investigate orthogonal multiple frequency shift keying …

Spectrum awareness allows the understanding of the wireless systems environment, and it
gives engineers and designers better control in system spectrum signal interference …

This paper demonstrates exceptional performance of approximately 10.0 dB learning-based
gain using the Deep Convolutional Neural Network (DCNN) for demodulation of a Rayleigh …

Aiming at the problem of signal demodulation under noise interference channel, a signal
recognition method using deep learning is proposed. The signal demodulation is completed …

Spectrum awareness allows the understanding of the wireless systems environment and it
gives engineers and designers better control in systems design and analysis. Phase noise is …

With the unprecedented availability of computing and data resources, there has been a
widespread trend in using machine learning techniques in the field of communication as …

Wireless systems on military platforms often operate in challenging electromagnetic
environments. Such environments contain interference which tends to be non-Gaussian. A …

In this paper we proposed the use of JT65A radio communication protocol for data exchange
in wide-area monitoring systems in electric power systems. We investigated the software …

This paper presents a brief review on deep learning in application of communication signal
processing. As an important branch of artificial intelligence technology, deep learning …