Recently, deep learned enabled end-to-end communication systems have been developed
to merge all physical layer blocks in the traditional communication systems, which make joint …

Watermarking is the process of embedding information into an image that can survive under
distortions, while requiring the encoded image to have little or no perceptual difference with …

Artificial intelligence (AI) and machine learning (ML) have shown tremendous potential in
reshaping the landscape of wireless communications and are, therefore, widely expected to …

The choice of constellations largely affects the performance of communication systems.
When designing constellations, both the locations and probability of occurrence of the points …

The autoencoder concept has fostered the reinterpretation and the design of modern
communication systems. It consists of an encoder, a channel and a decoder block that …

We design short blocklength codes for the Gaussian wiretap channel under information-
theoretic security guarantees. Our approach consists in decoupling the reliability and …

Leveraging powerful deep learning techniques, the end-to-end (E2E) learning of
communication system is able to outperform the classical communication system …

In this paper, a generalization of deep learning-aided joint source channel coding (Deep-
JSCC) approach to secure communications is studied. We propose an end-to-end (E2E) …

Feature ranking and selection is a widely used approach in various applications of
supervised dimensionality reduction in discriminative machine learning. Nevertheless there …

Calculating the capacity (with or without feedback) of channels with memory and continuous
alphabets is a challenging task. It requires optimizing the directed information (DI) rate over …