Presentacions
http://hdl.handle.net/2117/5516
2024-03-28T18:51:11ZEnglish-to-Hindi system description for WMT 2014: deep source-context features for Moses
http://hdl.handle.net/2117/102348
English-to-Hindi system description for WMT 2014: deep source-context features for Moses
Ruiz Costa-Jussà, Marta; Gupta, Parth; Banchs, Rafael E.; Rosso, P.
This paper describes the IPN-UPV participation on the English-to-Hindi translation task from WMT 2014 International Evaluation Campaign. The system presented is based on Moses and enhanced with deep learning by meansof asource-context feature function. This feature depends on the input sentence to translate, which makes it more challenging to adapt it into the Moses framework. This work reports the experimental details of the system putting special emphasison: how thefeaturefunction is integrated in Moses and how the deep learning representations are trained and used.
2017-03-10T19:06:41ZRuiz Costa-Jussà, MartaGupta, ParthBanchs, Rafael E.Rosso, P.This paper describes the IPN-UPV participation on the English-to-Hindi translation task from WMT 2014 International Evaluation Campaign. The system presented is based on Moses and enhanced with deep learning by meansof asource-context feature function. This feature depends on the input sentence to translate, which makes it more challenging to adapt it into the Moses framework. This work reports the experimental details of the system putting special emphasison: how thefeaturefunction is integrated in Moses and how the deep learning representations are trained and used.Multilevel direct DFB phase modulation in 6.25 GHz spectrally spaced UDWDM PONs
http://hdl.handle.net/2117/98941
Multilevel direct DFB phase modulation in 6.25 GHz spectrally spaced UDWDM PONs
Cano Valadez, Iván Nicolás; Velásquez Micolta, Juan Camilo; Polo Querol, Víctor; Prat Gomà, Josep Joan
Direct phase modulation of DFB is demonstrated with DPSK, DQPSK and Duobinary modulation formats and detected with an intradyne receiver based on a 120-degree hybrid. The system is tested in a 50 km fibre link with 6.25 GHz channel spacing among users in a UDWDM-PON. By using higher modulation formats, the spectral
efficiency can be increased in a single carrier system without spectral shaping while achieving an Rx sensitivity of -40 dBm at BER = 10-3for 5 Gb/s in a 2 GHz bandwidth limited DFB.
2017-01-10T11:21:58ZCano Valadez, Iván NicolásVelásquez Micolta, Juan CamiloPolo Querol, VíctorPrat Gomà, Josep JoanDirect phase modulation of DFB is demonstrated with DPSK, DQPSK and Duobinary modulation formats and detected with an intradyne receiver based on a 120-degree hybrid. The system is tested in a 50 km fibre link with 6.25 GHz channel spacing among users in a UDWDM-PON. By using higher modulation formats, the spectral
efficiency can be increased in a single carrier system without spectral shaping while achieving an Rx sensitivity of -40 dBm at BER = 10-3for 5 Gb/s in a 2 GHz bandwidth limited DFB.Looking for efficient and accurate ways of computing the global ionospheric electron density distribution from huge amounts of GNSS observations
http://hdl.handle.net/2117/86453
Looking for efficient and accurate ways of computing the global ionospheric electron density distribution from huge amounts of GNSS observations
Hernández Pajares, Manuel; Juan Zornoza, José Miguel; Sanz Subirana, Jaume; Monte Moreno, Enrique; Aragón Ángel, María Ángeles
In this work the authors will explore different potential ways of estimating efficiently and accurately the global
number density of ionospheric free electrons from the most part of nowadays available GNSS measurements, taken from ground based GPS receivers (IGS network) and LEO on-board GPS receivers (such as FORMOSAT-3/COSMIC constellation).
It is basically designed as a bootstrapping approach, from a first determination of VTEC global maps based on
the ground data, to a final electron density extrapolation process aided by simple first-principle conditions, and
passing by an optimal error decorrelation treatment in the VTEC interpolation and corresponding application to
improve the inversion of the GPS occultation measurements.
The performances against external reference data, including dual frequency altimeters and ionosonde measurements, will be also shown to support the conclusions in different Solar Cycle conditions.
2016-05-02T08:39:12ZHernández Pajares, ManuelJuan Zornoza, José MiguelSanz Subirana, JaumeMonte Moreno, EnriqueAragón Ángel, María ÁngelesIn this work the authors will explore different potential ways of estimating efficiently and accurately the global
number density of ionospheric free electrons from the most part of nowadays available GNSS measurements, taken from ground based GPS receivers (IGS network) and LEO on-board GPS receivers (such as FORMOSAT-3/COSMIC constellation).
It is basically designed as a bootstrapping approach, from a first determination of VTEC global maps based on
the ground data, to a final electron density extrapolation process aided by simple first-principle conditions, and
passing by an optimal error decorrelation treatment in the VTEC interpolation and corresponding application to
improve the inversion of the GPS occultation measurements.
The performances against external reference data, including dual frequency altimeters and ionosonde measurements, will be also shown to support the conclusions in different Solar Cycle conditions.The challenge of the multiantenna-IC and practical solutions for the MISO case
http://hdl.handle.net/2117/14073
The challenge of the multiantenna-IC and practical solutions for the MISO case
Pérez Neira, Ana Isabel; Vázquez, Miguel Ángel; Lagunas Hernandez, Miguel A.
The interference channel (IC) models a network of simultaneous communication node pairs. Interference is not a fundamental limitation: IA (interference alignment) is cooperative and not selfish. It avoids MUD. What about intermediate SINR regime in a constant channel? (where the desired signal power is an issue). What about MIMO-IC?
2011-11-24T18:00:50ZPérez Neira, Ana IsabelVázquez, Miguel ÁngelLagunas Hernandez, Miguel A.The interference channel (IC) models a network of simultaneous communication node pairs. Interference is not a fundamental limitation: IA (interference alignment) is cooperative and not selfish. It avoids MUD. What about intermediate SINR regime in a constant channel? (where the desired signal power is an issue). What about MIMO-IC?Potential synergetic use of GNSS-R signals to improve the sea-state correction in the sea surface salinity estimation: Application to the SMOS mission
http://hdl.handle.net/2117/10436
Potential synergetic use of GNSS-R signals to improve the sea-state correction in the sea surface salinity estimation: Application to the SMOS mission
Sabia, Roberto; Caparrini, M.; Camps Carmona, Adriano José; Ruffini, G.
It is accepted that the best way to monitor sea surface
salinity (SSS) on a global basis is by means of L-band radiometry.
However, the measured sea surface brightness temperature
(TB) depends not only on the SSS but also on the sea surface
temperature (SST) and, more importantly, on the sea state, which
is usually parameterized in terms of the 10-m-height wind speed
(U10) or the significant wave height. It has been recently proposed
that the mean-square slope (mss) derived from global navigation
satellite system (GNSS) signals reflected by the sea surface could
be a potentially appropriate sea-state descriptor and could be used
to make the necessary sea state TB corrections to improve the
SSS estimates. This paper presents a preliminary error analysis of
the use of reflected GNSS signals for the sea roughness correction
and was performed to support the European Space Agency’s
Soil Moisture and Ocean Salinity (SMOS) mission; the orbit and
parameters for the SMOS instrument were assumed. The accuracy
requirement for the retrieved SSS is 0.1 practical salinity units
after monthly averaging over 2◦ × 2◦ boxes. In this paper, potential
improvements in salinity estimation are hampered mainly
by the coarse sampling and by the requirements of the retrieval
algorithm, particularly the need for a semiempirical model that
relates TB and mss.
2010-11-29T09:20:46ZSabia, RobertoCaparrini, M.Camps Carmona, Adriano JoséRuffini, G.It is accepted that the best way to monitor sea surface
salinity (SSS) on a global basis is by means of L-band radiometry.
However, the measured sea surface brightness temperature
(TB) depends not only on the SSS but also on the sea surface
temperature (SST) and, more importantly, on the sea state, which
is usually parameterized in terms of the 10-m-height wind speed
(U10) or the significant wave height. It has been recently proposed
that the mean-square slope (mss) derived from global navigation
satellite system (GNSS) signals reflected by the sea surface could
be a potentially appropriate sea-state descriptor and could be used
to make the necessary sea state TB corrections to improve the
SSS estimates. This paper presents a preliminary error analysis of
the use of reflected GNSS signals for the sea roughness correction
and was performed to support the European Space Agency’s
Soil Moisture and Ocean Salinity (SMOS) mission; the orbit and
parameters for the SMOS instrument were assumed. The accuracy
requirement for the retrieved SSS is 0.1 practical salinity units
after monthly averaging over 2◦ × 2◦ boxes. In this paper, potential
improvements in salinity estimation are hampered mainly
by the coarse sampling and by the requirements of the retrieval
algorithm, particularly the need for a semiempirical model that
relates TB and mss.