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09/27/2022
Deep Unfolding for Iterative Stripe Noise Removal
The non-uniform photoelectric response of infrared imaging systems resul...
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11/14/2021
Neural Capacity Estimators: How Reliable Are They?
Recently, several methods have been proposed for estimating the mutual i...
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05/10/2021
Neural Computation of Capacity Region of Memoryless Multiple Access Channels
This paper provides a numerical framework for computing the achievable r...
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01/12/2021
Model-Based Machine Learning for Communications
We present an introduction to model-based machine learning for communica...
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11/25/2020
A Survey on Modulation Techniques in Molecular Communication via Diffusion
This survey paper focuses on modulation aspects of molecular communicati...
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11/25/2020
Sparse Multi-Decoder Recursive Projection Aggregation for Reed-Muller Codes
Reed-Muller (RM) codes are one of the oldest families of codes. Recently...
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06/05/2020
Inference from Stationary Time Sequences via Learned Factor Graphs
The design of methods for inference from time sequences has traditionall...
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05/20/2020
Capacities and Optimal Input Distributions for Particle-Intensity Channels
This work introduces the particle-intensity channel (PIC) as a model for...
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02/14/2020
Data-Driven Symbol Detection via Model-Based Machine Learning
The design of symbol detectors in digital communication systems has trad...
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01/31/2020
Data-Driven Factor Graphs for Deep Symbol Detection
Many important schemes in signal processing and communications, ranging ...
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07/25/2019
Deep Neural Network Symbol Detection for Millimeter Wave Communications
This paper proposes to use a deep neural network (DNN)-based symbol dete...
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05/26/2019
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection
Symbol detection plays an important role in the implementation of digita...
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05/13/2019
Low Noise Non-Linear Equalization Using Neural Networks and Belief Propagation
Nonlinearities can be introduced into communication systems by the physi...
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02/27/2019
Diffusive Molecular Communications with Reactive Molecules: Channel Modeling and Signal Design
This paper focuses on molecular communication (MC) systems using two typ...
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12/08/2018
Communication System Design and Analysis for Asynchronous Molecular Timing Channels
Two new asynchronous modulation techniques for molecular timing (MT) cha...
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02/19/2018
Sliding Bidirectional Recurrent Neural Networks for Sequence Detection in Communication Systems
The design and analysis of communication systems typically rely on the d...
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02/19/2018
Deep Learning for Joint Source-Channel Coding of Text
We consider the problem of joint source and channel coding of structured...
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01/31/2018
Neural Network Detection of Data Sequences in Communication Systems
We consider detection based on deep learning, and show it is possible to...
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01/17/2018
Exploiting Diversity in Molecular Timing Channels via Order Statistics
We study diversity in one-shot communication over molecular timing chann...
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05/22/2017
Detection Algorithms for Communication Systems Using Deep Learning
The design and analysis of communication systems typically rely on the d...
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04/16/2017