877 citations · 2k across the 39 of their papers we have counts for
10 papers · 1 filter
MICAL: Mutual Information-Based CNN-Aided Learned Factor Graphs for Seizure Detection from EEG Signals
Bahareh Salafian, Eyal Fishel Ben-Knaan, Nir Shlezinger +2
We develop a hybrid model-based data-driven seizure detection algorithm called Mutual Information-based CNNAided Learned factor graphs (MICAL) for detection of eclectic seizures fr…
CNN-Aided Factor Graphs with Estimated Mutual Information Features for Seizure Detection
Bahareh Salafian, Eyal Fishel Ben-Knaan, Nir Shlezinger +2
We propose a convolutional neural network (CNN) aided factor graphs assisted by mutual information features estimated by a neural network for seizure detection. Specifically, we us…
Efficient Epileptic Seizure Detection Using CNN-Aided Factor Graphs
Bahareh Salafian, Eyal Fishel Ben, Nir Shlezinger +2
We propose a computationally efficient algorithm for seizure detection. Instead of using a purely data-driven approach, we develop a hybrid model-based/data-driven method, combinin…
Model-Based Machine Learning for Communications
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar +1
We present an introduction to model-based machine learning for communication systems. We begin by reviewing existing strategies for combining model-based algorithms and machine lea…
Data-Driven Symbol Detection via Model-Based Machine Learning
Nariman Farsad, Nir Shlezinger, Andrea J. Goldsmith +1
The design of symbol detectors in digital communication systems has traditionally relied on statistical channel models that describe the relation between the transmitted symbols an…
Deep Neural Network Symbol Detection for Millimeter Wave Communications
Yun Liao, Nariman Farsad, Nir Shlezinger +2
This paper proposes to use a deep neural network (DNN)-based symbol detector for mmWave systems such that CSI acquisition can be bypassed. In particular, we consider a sliding bidi…
Low Noise Non-Linear Equalization Using Neural Networks and Belief Propagation
Etsushi Yamazaki, Nariman Farsad, Andrea Goldsmith
Nonlinearities can be introduced into communication systems by the physical components such as the power amplifier, or during signal propagation through a nonlinear channel. These…
Communication System Design and Analysis for Asynchronous Molecular Timing Channels
Nariman Farsad, Yonathan Murin, Weisi Guo +3
Two new asynchronous modulation techniques for molecular timing (MT) channels are proposed. One based on modulating information on the time between two consecutive releases of indi…
Sliding Bidirectional Recurrent Neural Networks for Sequence Detection in Communication Systems
Nariman Farsad, Andrea Goldsmith
The design and analysis of communication systems typically rely on the development of mathematical models that describe the underlying communication channel. However, in some syste…
Neural Network Detection of Data Sequences in Communication Systems
Nariman Farsad, Andrea Goldsmith
We consider detection based on deep learning, and show it is possible to train detectors that perform well without any knowledge of the underlying channel models. Moreover, when th…