38 citations · 63 across the 4 of their papers we have counts for
5 papers · 1 filter
Aircraft Radar Altimeter Interference Mitigation Through a CNN-Layer Only Denoising Autoencoder Architecture
Samuel B. Brown, Stephen Young, Adam Wagenknecht +4
Denoising autoencoders for signal processing applications have been shown to experience significant difficulty in learning to reconstruct radio frequency communication signals, par…
The RFML Ecosystem: A Look at the Unique Challenges of Applying Deep Learning to Radio Frequency Applications
Lauren J. Wong, William H. Clark, Bryse Flowers +3
While deep machine learning technologies are now pervasive in state-of-the-art image recognition and natural language processing applications, only in recent years have these techn…
Classification of Radio Signals Using Truncated Gaussian Discriminant Analysis of Convolutional Neural Network-Derived Features
J. B. Persons, Lauren J. Wong, W. Chris Headley +1
To improve the utility and scalability of distributed radio frequency (RF) sensor and communication networks, reduce the need for convolutional neural network (CNN) retraining, and…
Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications
Bryse Flowers, R. Michael Buehrer, William C. Headley
Recent advancements in radio frequency machine learning (RFML) have demonstrated the use of raw in-phase and quadrature (IQ) samples for multiple spectrum sensing tasks. Yet, deep…
Emitter Identification Using CNN IQ Imbalance Estimators
Lauren J. Wong, William C. Headley, Alan J. Michaels
Specific Emitter Identification is the association of a received signal to a unique emitter, and is made possible by the naturally occurring and unintentional characteristics an em…