The automatic recognition of the modulation format of a detected signal, the intermediate
step between signal detection and demodulation, is a major task of an intelligent receiver …

Blind modulation classification (MC) is an integral part of designing an adaptive or intelligent
transceiver for future wireless communications. Blind MC has several applications in the …

A new approach to modulation classification based on the Kolmogorov-Smirnov (KS) test is
proposed. The KS test is a non-parametric method to measure the goodness of fit. The basic …

Automatic identification of the digital modulation type of a signal has found applications in
many areas, including electronic warfare, surveillance and threat analysis. This paper …

Automatic modulation classification (AMC) is an important stage in intelligent wireless
communication receivers. It is a necessary process after signal detection, and before …

In this study the negative impacts of interference transmitters on automatic modulation
classification (AMC) have been discussed. The authors proposed two approaches for AMC …

Adaptive modulation is an effective method to increase the spectral efficiency of OFDM
based high-speed wireless data transmission systems in time-dispersive (frequency …

Automatical classification of the modulation type of a received signal is an indispensable first
step in many military communication systems. Typical military wireless communication …

This paper presents a prototype of an automatic digital modulation classifier based on a real-
time spectrum analyzer (RTSA) architecture. The modulation classifier is suitable for efficient …

Feature engineering is a difficult task, and for real signal data, it is difficult to find a certain
feature that can easily distinguish all classes. Multiple features can provide more …