no code implementations • 28 Nov 2023 • Helena Calatrava, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas
In this paper, importance sampling is applied to the DKF framework for learning deep Markov models, resulting in the IW-DKF, which shows an improvement in terms of log-likelihood estimates and KL divergence between the variational distribution and the transition model.
no code implementations • 9 Aug 2023 • Haoqing Li, Shuo Tang, Peng Wu, Pau Closas
Global Navigation Satellite System (GNSS) is pervasive in navigation and positioning applications, where precise position and time referencing estimations are required.
1 code implementation • 10 Jun 2023 • Francisco Pastor, Jorge García-González, Juan M. Gandarias, Daniel Medina, Pau Closas, Alfonso J. García-Cerezo, Jesús M. Gómez-de-Gabriel
Recent advances in the field of intelligent robotic manipulation pursue providing robotic hands with touch sensitivity.
no code implementations • 5 Jun 2023 • Peng Wu, Helena Calatrava, Tales Imbiriba, Pau Closas
Jamming signals can jeopardize the operation of GNSS receivers until denying its operation.
1 code implementation • 19 Mar 2023 • Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas
First, a stochastic model is proposed to represent both the dynamical evolution of the endmembers and their abundances, as well as the mixing process.
1 code implementation • 6 Jan 2023 • Haoqing Li, Bhavya Duvvuri, Ricardo Borsoi, Tales Imbiriba, Edward Beighley, Deniz Erdogmus, Pau Closas
To evaluate the proposed methodology we consider a water mapping task where real data acquired by the Landsat and MODIS instruments are fused generating high spatial-temporal resolution image estimates.
no code implementations • 4 Jan 2023 • Helena Calatrava, Bhavya Duvvuri, Haoqing Li, Ricardo Borsoi, Edward Beighley, Deniz Erdogmus, Pau Closas, Tales Imbiriba
Our method also improves the performance of deep learning-based classifiers without the need for additional training data.
no code implementations • 15 Dec 2022 • Andrea Nardin, Tales Imbiriba, Pau Closas
Monitoring interferences to satellite-based navigation systems is of paramount importance in order to reliably operate critical infrastructures, navigation systems, and a variety of applications relying on satellite-based positioning.
no code implementations • 14 Dec 2022 • Peng Wu, Tales Imbiriba, Victor Elvira, Pau Closas
When data is only available in a distributed fashion or when different sensors are used to infer a quantity of interest, data fusion becomes essential.
no code implementations • 12 May 2022 • Nasim Soltani, Hai Cheng, Mauro Belgiovine, Yanyu Li, Haoqing Li, Bahar Azari, Salvatore D'Oro, Tales Imbiriba, Tommaso Melodia, Pau Closas, Yanzhi Wang, Deniz Erdogmus, Kaushik Chowdhury
Here, ML blocks replace the individual processing blocks of an OFDM receiver, and we specifically describe this swapping for the legacy channel estimation, symbol demapping, and decoding blocks with Neural Networks (NNs).
no code implementations • 26 Apr 2022 • Haoqing Li, Bhavia Duvviri, Ricardo Borsoi, Tales Imbiriba, Edward Beighley, Deniz Erdogmus, Pau Closas
Satellite imaging has a central role in monitoring, detecting and estimating the intensity of key natural phenomena.
no code implementations • 13 Apr 2022 • Tales Imbiriba, Ahmet Demirkaya, Jindřich Duník, Ondřej Straka, Deniz Erdoğmuş, Pau Closas
In this paper we present a hybrid neural network augmented physics-based modeling (APBM) framework for Bayesian nonlinear latent space estimation.
no code implementations • 9 Jul 2021 • Peng Wu, Tales Imbiriba, Junha Park, Sunwoo Kim, Pau Closas
Localization and tracking of objects using data-driven methods is a popular topic due to the complexity in characterizing the physics of wireless channel propagation models.
no code implementations • 17 Apr 2021 • Haoqing Li, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos Moreira Bermudez, Deniz Erdoğmuş
Autoencoder (AEC) networks have recently emerged as a promising approach to perform unsupervised hyperspectral unmixing (HU) by associating the latent representations with the abundances, the decoder with the mixing model and the encoder with its inverse.
no code implementations • 2 Jan 2020 • Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos Moreira Bermudez, Cédric Richard
The recent evolution of hyperspectral imaging technology and the proliferation of new emerging applications presses for the processing of multiple temporal hyperspectral images.