Alonso, P.; García Mollá, Víctor Manuel; Martínez Zaldívar, Francisco José; Salazar Afanador, Addisson; Vergara Domínguez, Luís; Vidal Maciá, Antonio Manuel(Springer Verlag (Germany), 2014-11)
We tackle the parallelization of Non-Negative Matrix Factorization (NNMF), using the Alternating Least Squares and Lee and Seung algorithms, motivated by its use in audio source separation. For the first algorithm, a very ...
García Mollá, Víctor Manuel; Alonso-Jordá, Pedro(Springer-Verlag, 2023-01)
[EN] Border tracking in binary images is an important operation in many computer vision applications. The problem consists in finding borders in a 2D binary image (where all of the pixels are either 0 or 1). There are ...
García Mollá, Víctor Manuel; Alonso-Jordá, Pedro; García-Laguía, Ricardo(Springer-Verlag, 2020-01-19)
[EN] Border tracking in binary images is an important kernel for many applications. There are very efficient sequential algorithms, most notably, the algorithm proposed by Suzuki et al., which has been implemented for CPUs ...
Simarro Haro, Mª de los Angeles; Ramiro Sánchez, Carla; Martínez Zaldívar, Francisco José; Vidal Maciá, Antonio Manuel; González Téllez, Alberto; Piñero Sipán, María Gemma; García Mollá, Víctor Manuel(2013)
[EN] One of the current techniques proposed for multiple transmit and receive antennas wireless communication systems is the use of error control coding and iterative detection and decoding at the receiver. These sophisticated ...
García Mollá, Víctor Manuel; Simarro, M. Angeles; Martínez Zaldívar, Francisco José; Boratto, Murilo; Alonso-Jordá, Pedro; Gonzalez, Alberto(Springer-Verlag, 2022-04)
[EN] Generalized Spatial Modulation is a recently developed technique that is designed to enhance the efficiency of transmissions in MIMO Systems. However, the procedure for correctly retrieving the sent signal at the ...
García Mollá, Víctor Manuel; Salazar Afanador, Addisson; Safont Armero, Gonzalo; Vidal, Antonio M.; Vergara Domínguez, Luís(Springer, 2019-06-14)
In this paper, we present the optimization and parallelization of a state-of-the-art algorithm for automatic classification, in order to perform real-time classification of clinical data. The parallelization has been carried ...
Simarro, M. Angeles; García Mollá, Víctor Manuel; Vidal Maciá, Antonio Manuel; Martínez Zaldívar, Francisco José; Gonzalez, Alberto(Elsevier, 2018)
[EN] Achieving optimal detection performance with low complexity is
one of the major challenges, mainly in multiple-input multiple-output
(MIMO) detection. This paper presents three low-complexity Soft-Output
MIMO detection ...
García Mollá, Víctor Manuel; Gonzalez, Alberto; González García, Cristina Yenixe; Martínez Zaldívar, Francisco José; Ramiro Sánchez, Carla; Roger Varea, Sandra; Vidal Maciá, Antonio Manuel(Instittuto de Telecomunicaciones y Aplicaciones Multimedia (iTEAM), 2011)
[EN] This paper presents a meaningful practical performance comparison between the last generation
of Graphics Processing Units (GPUs) and the last generation multi-core CPUs when they are
used to solve given Signal ...
San Juan Sebastián, Pablo; Vidal Maciá, Antonio Manuel; García Mollá, Víctor Manuel(Elsevier, 2016-12-08)
The Non-Negative Matrix Factorization (NNMF) is a recent numerical tool that, given a nonnegative
data matrix, tries to obtain its factorization as the approximate product of two
nonnegative matrices. Nowadays, this ...