Publication

Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks

Related publications (34)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks

Graph Chatbot

Chat with Graph Search

Determining 1D fast-ion velocity distribution functions from ion cyclotron emission data using deep neural networks

On the Implementation Complexity of Digital Full-Duplex Self-Interference Cancellation

Artificial Neural Networks as Surrogate Models for Uncertainty Quantification and Data Assimilation in 2-D/3-D Fuel Performance Studies

On Vacuous and Non-Vacuous Generalization Bounds for Deep Neural Networks.

Learning Activation Functions in Deep (Spline) Neural Networks

Inverse Modelling and Predictive Inference in Continuum Mechanics: a Data-Driven Approach

Supplementary Material - AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks

The Unstoppable Rise of Computational Linguistics in Deep Learning

Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks

Physical Layer Aspects of LoRa and Full-Duplex Wireless Transceivers