Automatic modulation classification (AMC) is becoming a promising technique for future
adaptive wireless transceiver systems. The existing blind modulation classification (BMC) …

This study proposed a two-stage method, which combines a convolutional neural network
(CNN) with the continuous wavelet transform (CWT) for multiclass modulation classification …

Research has shown that communications systems and receivers suffer from high power
adjacent channel signals, called blockers, that drive the radio frequency (RF) front end into …

In this paper, we investigate the demodulation performance of radar-embedded
communications, by utilizing deep neural network (DNN) machine learning to extract the …

The wideband RF receiver in a software-defined radio (SDR) system suffers from the
nonlinear effects caused by the front-end analog processing. In the presence of strong …

The performance of coded modulation schemes based on the serial concatenation of a
forward error correction (FEC) code and a differentially encoded (DE) quadrature phase shift …

The evolution of technologies in data communication system has resulted in generation of
large data. With the availability of limited bandwidth and to maintain the energy efficiency of …

Carrier frequency offset (CFO) arises from the intrinsic mismatch between the oscillators of a
wireless transmitter and the corresponding receiver, as well as their relative motion (ie …

l, 090 MHz secondary surveillance radar (SSR) signals received at airports from Mode A/C
and S transponders suffer mostly from garbling, fading and multipath. Due to these radio …

This paper describes the feasibility of software-defined demodulator of DVB-T2 standard
using the scalable DSP processor. This paper focuses mainly on the DVB-T2 receiver …