Likelihood-ratio approaches to automatic modulation classification
Adaptive modulation and automatic modulation classification are highly demanded in
software-defined radio (SDR) for both commercial and military applications. Various design …
software-defined radio (SDR) for both commercial and military applications. Various design …
Automatic modulation recognition of communication signals
E Azzouz, A Nandi - 1996 - books.google.com
Automatic modulation recognition is a rapidly evolving area of signal analysis. In recent
years, interest from the academic and military research institutes has focused around the …
years, interest from the academic and military research institutes has focused around the …
Deep neural network architectures for modulation classification
In this work, we investigate the value of employing deep learning for the task of wireless
signal modulation recognition. Recently in [1], a framework has been introduced by …
signal modulation recognition. Recently in [1], a framework has been introduced by …
Fast deep learning for automatic modulation classification
In this work, we investigate the feasibility and effectiveness of employing deep learning
algorithms for automatic recognition of the modulation type of received wireless …
algorithms for automatic recognition of the modulation type of received wireless …
Multitask-learning-based deep neural network for automatic modulation classification
Automatic modulation classification (AMC) is to identify the modulation type of a received
signal, which plays a vital role to ensure the physical-layer security for Internet of Things …
signal, which plays a vital role to ensure the physical-layer security for Internet of Things …
Survey of automatic modulation classification techniques: classical approaches and new trends
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 …
step between signal detection and demodulation, is a major task of an intelligent receiver …
Hierarchical digital modulation classification using cumulants
A Swami, BM Sadler - IEEE Transactions on communications, 2000 - ieeexplore.ieee.org
A simple method, based on elementary fourth-order cumulants, is proposed for the
classification of digital modulation schemes. These statistics are natural in this setting as …
classification of digital modulation schemes. These statistics are natural in this setting as …
Algorithms for automatic modulation recognition of communication signals
AK Nandi, EE Azzouz - IEEE Transactions on communications, 1998 - ieeexplore.ieee.org
This paper introduces two algorithms for analog and digital modulations recognition. The
first algorithm utilizes the decision-theoretic approach in which a set of decision criteria for …
first algorithm utilizes the decision-theoretic approach in which a set of decision criteria for …
Maximum-likelihood classification for digital amplitude-phase modulations
W Wei, JM Mendel - IEEE transactions on Communications, 2000 - ieeexplore.ieee.org
We apply the maximum-likelihood (ML) method to the classification of digital quadrature
modulations. We show that under an ideal situation, the IQ domain data are sufficient …
modulations. We show that under an ideal situation, the IQ domain data are sufficient …
Signal modulation classification based on the transformer network
In this work, the Transformer Network (TRN) is applied to the automatic modulation
classification (AMC) problem for the first time. Different from the other deep networks, the …
classification (AMC) problem for the first time. Different from the other deep networks, the …