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20222025
most citedClimbing Routes Clustering Using Energy-Efficient Accelerometers Attached to the Quickdraws

1 citations · 1 across the 7 of their papers we have counts for

collaborators

8 papers

cs.IT2025

An Improved Lower Bound on Cardinality of Support of the Amplitude-Constrained AWGN Channel

Haiyang Wang, Luca Barletta, Alex Dytso

We study the amplitude-constrained additive white Gaussian noise channel. It is well known that the capacity-achieving input distribution for this channel is discrete and supported…

quant-ph2025

Optimization of Information Reconciliation for Decoy-State Quantum Key Distribution over a Satellite Downlink Channel

Thomas Scarinzi, Davide Orsucci, Marco Ferrari +1

Quantum key distribution (QKD) is a cryptographic solution that leverages the properties of quantum mechanics to be resistant and secure even against an attacker with unlimited com…

cs.IT2025

Estimation Error: Distribution and Pointwise Limits

Luca Barletta, Alex Dytso, Shlomo Shamai

In this paper, we examine the distribution and convergence properties of the estimation error , where is the Bayesian estimator of a random variabl…

cs.IT2024

On MIMO Gaussian Channels with a Small Discrete-Time Peak-Power Constraint

Alex Dytso, Luca Barletta, Gerhard Kramer

A multi-input multi-output (MIMO) Gaussian channel with two transmit antennas and two receive antennas is studied that is subject to an input peak-power constraint. The capacity an…

cs.IT2024

Binomial Channel: On the Capacity-Achieving Distribution and Bounds on the Capacity

Ian Zieder, Antonino Favano, Luca Barletta +1

This work considers a binomial noise channel. The paper can be roughly divided into two parts. The first part is concerned with the properties of the capacity-achieving distributio…

cs.IT2024

Improved Bounds on the Number of Support Points of the Capacity-Achieving Input for Amplitude Constrained Poisson Channels

Luca Barletta, Alex Dytso, Shlomo Shamai

This work considers a discrete-time Poisson noise channel with an input amplitude constraint and a dark current parameter . It is known that the capacity-achieving…

quant-ph2023

Optimal Single-Shot Decoding of Quantum Codes

Aldo Cumitini, Stefano Tinelli, Balázs Matuz +2

We discuss single-shot decoding of quantum Calderbank-Shor-Steane codes with faulty syndrome measurements. We state the problem as a joint source-channel coding problem. By adding…

eess.SP2022★ 1 cited

Climbing Routes Clustering Using Energy-Efficient Accelerometers Attached to the Quickdraws

Sadaf Moaveninejad, Andrea Janes, Camillo Porcaro +3

One of the challenges for climbing gyms is to find out popular routes for the climbers to improve their services and optimally use their infrastructure. This problem must be addres…