LoRa based IoT platform for remote monitoring of large-scale agriculture farms in Chile MA Ahmed, JL Gallardo, MD Zuniga, MA Pedraza, G Carvajal, N Jara, ... Sensors 22 (8), 2824, 2022 | 47 | 2022 |
EM-Based Maximum Likelihood Channel Estimation in Multicarrier Systems with Phase Distortion R Carvajal, JC Aguero, BI Godoy, GC Goodwin IEEE Transactions on Vehicular Technology 62 (1), 152-160, 2013 | 45 | 2013 |
Identification of sparse FIR systems using a general quantisation scheme BI Godoy, JC Agüero, R Carvajal, GC Goodwin, JI Yuz International Journal of Control 87 (4), 874-886, 2014 | 35 | 2014 |
A novel approach to model error modelling using the expectation-maximization algorithm RA Delgado, GC Goodwin, R Carvajal, JC Agüero 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 7327-7332, 2012 | 20 | 2012 |
Minimum variance control for mitigation of vibrations in adaptive optics systems P Escárate, R Carvajal, L Close, J Males, K Morzinski, JC Agüero Applied Optics 56 (19), 5388-5397, 2017 | 18 | 2017 |
EM-based identification of ARX systems having quantized output data JC Agüero, K González, R Carvajal IFAC-PapersOnLine 50 (1), 8367-8372, 2017 | 17 | 2017 |
A data augmentation approach for a class of statistical inference problems R Carvajal, R Orellana, D Katselis, P Escárate, JC Agüero PloS one 13 (12), e0208499, 2018 | 16 | 2018 |
On the uncertainty identification for linear dynamic systems using stochastic embedding approach with gaussian mixture models R Orellana, R Carvajal, P Escárate, JC Agüero Sensors 21 (11), 3837, 2021 | 15 | 2021 |
Maximum Likelihood estimation for non-minimum-phase noise transfer function with Gaussian mixture noise distribution R Orellana, G Bittner, R Carvajal, JC Agüero Automatica 135, 109937, 2022 | 13 | 2022 |
On filtering methods for state-space systems having binary output measurements AL Cedeño, R Albornoz, R Carvajal, BI Godoy, JC Agüero IFAC-PapersOnLine 54 (7), 815-820, 2021 | 11 | 2021 |
Maximum likelihood infinite mixture distribution estimation utilizing finite Gaussian mixtures R Orellana, R Carvajal, JC Agüero IFAC-PapersOnLine 51 (15), 706-711, 2018 | 11 | 2018 |
EM-based sparse channel estimation in OFDM systems R Carvajal, BI Godoy, JC Agüero, GC Goodwin 2012 IEEE 13th International Workshop on Signal Processing Advances in …, 2012 | 11 | 2012 |
A two-filter approach for state estimation utilizing quantized output data AL Cedeño, R Albornoz, R Carvajal, BI Godoy, JC Agüero Sensors 21 (22), 7675, 2021 | 10 | 2021 |
Maximum Likelihood identification for Linear Dynamic Systems with finite Gaussian mixture noise distribution G Bittner, R Orellana, R Carvajal, JC Agüero 2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering …, 2019 | 10 | 2019 |
A method to deconvolve stellar rotational velocities-III. The probability distribution function via maximum likelihood utilizing finite distribution mixtures R Orellana, P Escarate, M Cure, A Christen, R Carvajal, JC Agüero Astronomy & Astrophysics 623, A138, 2019 | 10 | 2019 |
Maximum Likelihood identification of a continuous-time oscillator utilizing sampled data K González, M Coronel, R Carvajal, P Escárate, JC Agüero IFAC-PapersOnLine 51 (15), 712-717, 2018 | 9 | 2018 |
Robust automatic net damage detection and tracking on real aquaculture environment using computer vision J Labra, MD Zuniga, J Rebolledo, MA Ahmed, R Carvajal, N Jara, ... Aquacultural Engineering 101, 102323, 2023 | 8 | 2023 |
Disturbance modelling for minimum variance control in adaptive optics systems using wavefront sensor sampled-data M Coronel, R Carvajal, P Escárate, JC Agüero Sensors 21 (9), 3054, 2021 | 8 | 2021 |
EM-based identification of static errors-in-variables systems utilizing Gaussian Mixture models AL Cedeno, R Orellana, R Carvajal, JC Agüero IFAC-PapersOnLine 53 (2), 863-868, 2020 | 8 | 2020 |
Empirical Bayes estimation utilizing finite Gaussian mixture models R Orellana, R Carvajal, JC Agüero 2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering …, 2019 | 7 | 2019 |