222 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Universidad Carlos III de MadridES14 papers
- Hospital General Universitario Gregorio MarañónES4 papers
- Chalmers University of TechnologySE3 papers
- Paderborn UniversityDE3 papers
- Centro de AstrobiologíaES2 papers
- Heidelberg UniversityDE2 papers
- Institut d'Estudis Espacials de CatalunyaES2 papers
- Institute of Space SciencesES2 papers
- Instituto de Astrofísica de AndalucíaES2 papers
- Instituto de Astrofísica de CanariasES2 papers
- Know Center Research GmbH (Austria)AT2 papers
- Leiden Observatory2 papers
19 papers
Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks
Antía López Galdo, Alejandro Guerrero-López, Pablo M. Olmos +1
Railway axle maintenance is critical to avoid catastrophic failures. Nowadays, condition monitoring techniques are becoming more prominent in the industry to prevent enormous costs…
Boosting offline handwritten text recognition in historical documents with few labeled lines
José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos
In this paper, we face the problem of offline handwritten text recognition (HTR) in historical documents when few labeled samples are available and some of them contain errors in t…
Is there NaI in the atmosphere of HD 209458b? Effect of the centre-to-limb variation and Rossiter-McLaughlin effect in transmission spectroscopy studies
N. Casasayas-Barris, E. Palle, F. Yan +22
HD 209458b was the first transiting planet discovered, and the first for which an atmosphere, in particular NaI, was detected. With time, it has become one of the most frequently s…
Two-Channel Passive Detection Exploiting Cyclostationarity
Stefanie Horstmann, David Ramírez, Peter J. Schreier
This paper addresses a two-channel passive detection problem exploiting cyclostationarity. Given a reference channel (RC) and a surveillance channel (SC), the goal is to detect a t…
The CARMENES search for exoplanets around M dwarfs. Two temperate Earth-mass planet candidates around Teegarden's Star
M. Zechmeister, S. Dreizler, I. Ribas +182
Context. Teegarden's Star is the brightest and one of the nearest ultra-cool dwarfs in the solar neighbourhood. For its late spectral type (M7.0V), the star shows relatively little…
Saddlepoint Approximations for Short-Packet Wireless Communications
Alejandro Lancho, Jöhan Ostman, Giuseppe Durisi +2
In recent years, the derivation of nonasymptotic converse and achievability bounds on the maximum coding rate as a function of the error probability and blocklength has gained atte…
Robust Signaling for Bursty Interference
Grace Villacrés, Tobias Koch, Aydin Sezgin +1
This paper studies a bursty interference channel, where the presence/absence of interference is modeled by a block-i.i.d.\ Bernoulli process that stays constant for a duration of $…
LMPIT-inspired Tests for Detecting a Cyclostationary Signal in Noise with Spatio-Temporal Structure
Aaron Pries, David Ramírez, Peter J. Schreier
In spectrum sensing for cognitive radio, the presence of a primary user can be detected by making use of the cyclostationarity property of digital communication signals. For the ge…
On the Information Dimension of Multivariate Gaussian Processes
Bernhard C. Geiger, Tobias Koch
The authors have recently defined the Rényi information dimension rate of a stationary stochastic process as the entropy rate of the uniform…
On Single-Antenna Rayleigh Block-Fading Channels at Finite Blocklength
Alejandro Lancho, Tobias Koch, Giuseppe Durisi
This paper concerns the maximum coding rate at which data can be transmitted over a noncoherent, single-antenna, Rayleigh block-fading channel using an error-correcting code of a g…
On the Information Dimension of Stochastic Processes
Bernhard C. Geiger, Tobias Koch
In 1959, Rényi proposed the information dimension and the -dimensional entropy to measure the information content of general random variables. This paper proposes a generalizati…
Phase-Retrieved Tomography enables imaging of a Tumor Spheroid in Mesoscopy Regime
Daniele Ancora, Diego Di Battista, Georgia Giasafaki +3
Optical tomographic imaging of biological specimen bases its reliability on the combination of both accurate experimental measures and advanced computational techniques. In general…
Continuous Transmission of Spatially-Coupled LDPC Code Chains
Pablo M. Olmos, David G. M. Mitchell, Dmitri Truhachev +1
We propose a novel encoding/transmission scheme called continuous chain (CC) transmission that is able to improve the finite-length performance of a system using spatially-coupled…
Canonical correlation analysis of high-dimensional data with very small sample support
Yang Song, Peter J. Schreier, David Ramirez +1
This paper is concerned with the analysis of correlation between two high-dimensional data sets when there are only few correlated signal components but the number of samples is ve…
Converse Bounds for Entropy-Constrained Quantization Via a Variational Entropy Inequality
Tobias Koch, Gonzalo Vazquez-Vilar
We derive a lower bound on the smallest output entropy that can be achieved via vector quantization of a -dimensional source with given expected th-power distortion. Speciali…
The Shannon Lower Bound is Asymptotically Tight
Tobias Koch
The Shannon lower bound is one of the few lower bounds on the rate-distortion function that holds for a large class of sources. In this paper, it is demonstrated that its gap to th…
Short-Packet Communications over Multiple-Antenna Rayleigh-Fading Channels
Giuseppe Durisi, Tobias Koch, Johan Östman +2
Motivated by the current interest in ultra-reliable, low-latency, machine-type communication systems, we investigate the tradeoff between reliability, throughput, and latency in th…
Multi-Class Source-Channel Coding
Irina E. Bocharova, Albert Guillén i Fàbregas, Boris D. Kudryashov +3
This paper studies an almost-lossless source-channel coding scheme in which source messages are assigned to different classes and encoded with a channel code that depends on the cl…
Spherical deconvolution of multichannel diffusion MRI data with non-Gaussian noise models and spatial regularization
Erick J. Canales-Rodríguez, Alessandro Daducci, Stamatios N. Sotiropoulos +11
Spherical deconvolution (SD) methods are widely used to estimate the intra-voxel white-matter fiber orientations from diffusion MRI data. However, while some of these methods assum…