Pablo Padilla

Prof. Dr. Pablo Padilla

Department of Signal Theory, Telematics and Communications, University of Granada, Periodista Daniel Saucedo Aranda S/N, 18071 Granada, Spain
orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 May 2010 in IEEE Transactions on Antennas and Propagation
Verified
Journal Article
Closed access
Pablo PadillaPablo Padilla
Pablo Padilla
AMAlfonso Muñoz-Acevedo
Alfonso Muñoz-Acevedo
MSManuel Sierra-Castañer
Manuel Sierra-Castañer
MSManuel Sierra-Pérez
Manuel Sierra-Pérez
An electronically reconfigurable transmitarray device at 12 GHz is presented in this work. This paper highlights the functioning of this kind of device and thoroughly examines the proposed reconfigurable transmitarray. The architecture is discussed along with the design and selection of all the constituting elements and the prototypes for all of them. In order to add reconfigurability to the transmitarray structure, 360° reflective phase shifters were designed, prototyped and validated for direct application. Eventually, a demonstrative prototype for an active transmitarray with phase shifters was assembled, and radiation pattern measurements were taken in an anechoic chamber to demonstrate the capabilities of this structure.

12 September 2011 in IEEE Transactions on Medical Imaging
Verified
Journal Article
Closed access
Pablo PadillaPablo Padilla
Pablo Padilla
MLM. Lopez
M. Lopez
Juan M. Górriz SáezJuan M. Górriz Sáez
Juan M. Górriz Sáez
Javier RamírezJavier Ramírez
Javier Ramírez
DSD. Salas-Gonzalez
D. Salas-Gonzalez
IAI. Alvarez
I. Alvarez
This paper presents a novel computer-aided diagnosis (CAD) technique for the early diagnosis of the Alzheimer's disease (AD) based on nonnegative matrix factorization (NMF) and support vector machines (SVM) with bounds of confidence. The CAD tool is designed for the study and classification of functional brain images. For this purpose, two different brain image databases are selected: a single photon emission computed tomography (SPECT) database and positron emission tomography (PET) images, both of them containing data for both Alzheimer's disease (AD) patients and healthy controls as a reference. These databases are analyzed by applying the Fisher discriminant ratio (FDR) and nonnegative matrix factorization (NMF) for feature selection and extraction of the most relevant features. The resulting NMF-transformed sets of data, which contain a reduced number of features, are classified by means of a SVM-based classifier with bounds of confidence for decision. The proposed NMF-SVM method yields up to 91% classification accuracy with high sensitivity and specificity rates (upper than 90%). This NMF-SVM CAD tool becomes an accurate method for SPECT and PET AD image classification.

1 March 2011 in Neurocomputing
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Journal Article
Closed access
MLM. López
M. López
Javier RamírezJavier Ramírez
Javier Ramírez
Juan M. Górriz SáezJuan M. Górriz Sáez
Juan M. Górriz Sáez
IÁI. Álvarez
I. Álvarez
DSD. Salas-Gonzalez
D. Salas-Gonzalez
MGM. Gómez-Río
M. Gómez-Río

1 March 2010 in Neuroscience Letters
Verified
Journal Article
Closed access
Javier RamírezJavier Ramírez
Javier Ramírez
Juan M. Górriz SáezJuan M. Górriz Sáez
Juan M. Górriz Sáez
FSFermín Segovia
Fermín Segovia
RCR. Chaves
R. Chaves
DSD. Salas-Gonzalez
D. Salas-Gonzalez
Pablo PadillaPablo Padilla
Pablo Padilla

1 November 2010 in Medical Physics
Verified
Journal Article
Closed access
DSD Salas-Gonzalez
D Salas-Gonzalez
Juan M. Górriz SáezJuan M. Górriz Sáez
Juan M. Górriz Sáez
Javier RamírezJavier Ramírez
Javier Ramírez
III A Illán
I A Illán
MLM López
M López
CPC G Puntonet
C G Puntonet

22 October 2012 in IEEE Antennas and Wireless Propagation Letters
Verified
Journal Article
Closed access
GEGonzalo Exposito-Dominguez
Gonzalo Exposito-Dominguez
JFJose-Manuel Fernandez-Gonzalez
Jose-Manuel Fernandez-Gonzalez
Pablo PadillaPablo Padilla
Pablo Padilla
MSManuel Sierra-Castañer
Manuel Sierra-Castañer
In this letter, a dual circular polarized steering antenna for satellite communications in X-band is presented. This antenna consists of printed elements grouped in an array, able to work from 7.25 up to 8.4 GHz in both polarizations: left-handed circular polarization (LHCP) and right-handed circular polarization (RHCP). The module antenna is compact, with narrow beamwidth, and reaches a gain of 16 dBi. It has the capability to steer in elevation to ±10° and ±40° electronically with a Butler matrix. In order to reduce the mutual coupling between adjacent patches, electromagnetic band-gap (EBG) structures are introduced. These EBGs combine double-layer and edge location via in order to reduce the size, without changing the low-permittivity substrate, and therefore maintaining the high radiation efficiency of the antenna.