activity
20122022
most citedReinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding

41 citations · 65 across the 7 of their papers we have counts for

collaborators

7 papers

eess.IV2022

Motion Magnification Algorithms for Video-Based Breathing Monitoring

Veronica Mattioli, Davide Alinovi, Gianluigi Ferrari +2

In this paper, we present two video processing techniques for contact-less estimation of the Respiratory Rate (RR) of framed subjects. Due to the modest extent of movements related…

cs.IT2021★ 2 cited

On the Outage Capacity of the Massive MIMO Diversity Channel

Marco Martalo, Riccardo Raheli

We consider the massive Multiple Input Multiple Output (MIMO) diversity channel affected by independent and identically distributed Rayleigh fading, with linear processing at both…

eess.IV2020★ 4 cited

Maximum Likelihood Speed Estimation of Moving Objects in Video Signals

Veronica Mattioli, Davide Alinovi, Riccardo Raheli

Video processing solutions for motion analysis are key tasks in many computer vision applications, ranging from human activity recognition to object detection. In particular, speed…

cs.IT2019★ 41 cited

Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding

Fabrizio Carpi, Christian Häger, Marco Martalò +2

In this paper, we use reinforcement learning to find effective decoding strategies for binary linear codes. We start by reviewing several iterative decoding algorithms that involve…

stat.AP2016★ 9 cited

Markov Chain Modeling and Simulation of Breathing Patterns

Davide Alinovi, Gianluigi Ferrari, Francesco Pisani +1

The lack of large video databases obtained from real patients with respiratory disorders makes the design and optimization of video-based monitoring systems quite critical. The pur…

cs.IT2015★ 2 cited

Models, Statistics, and Rates of Binary Correlated Sources

Marco Martalo', Riccardo Raheli

This paper discusses and analyzes various models of binary correlated sources, which may be relevant in several distributed communication scenarios. These models are statistically…

cs.IT2012★ 7 cited

Orthogonal Multiple Access with Correlated Sources: Feasible Region and Pragmatic Schemes

A. Abrardo, G. Ferrari, M. Martalo' +2

In this paper, we consider orthogonal multiple access coding schemes, where correlated sources are encoded in a distributed fashion and transmitted, through additive white Gaussian…