Rodrigo Carvajal

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 17

Top Topics

Gaussian Mixture

Channel Estimation

Maximum Likelihood

Top Venues

Publications

Angel L. Cedeño, Rodrigo A. González, Rodrigo Carvajal, Juan C. Agüero
Identification of Wiener state-space models utilizing Gaussian sum smoothing. Autom. 166 (2024)
Angel L. Cedeño, Rafael Orellana, Rodrigo Carvajal, Boris I. Godoy, Juan C. Agüero
Finite Impulse Response Errors-in-Variables System Identification Utilizing Approximated Likelihood and Gaussian Mixture Models. IEEE Access 11 (2023)
Pedro Escárate, María Coronel, Rodrigo Carvajal, Juan C. Agüero
An Optimal Integral Controller for Adaptive Optics Systems. Sensors 23 (22) (2023)
Rafael Orellana, Gustavo Bittner, Rodrigo Carvajal, Juan C. Agüero
Maximum Likelihood estimation for non-minimum-phase noise transfer function with Gaussian mixture noise distribution. Autom. 135 (2022)
Mohamed A. Ahmed, José Luis Gallardo, Marcos D. Zuniga, Manuel A. Pedraza, Gonzalo Carvajal, Nicolás A. Jara, Rodrigo Carvajal
LoRa Based IoT Platform for Remote Monitoring of Large-Scale Agriculture Farms in Chile. Sensors 22 (8) (2022)
Rafael Orellana, Rodrigo Carvajal, Pedro Escárate, Juan C. Agüero
On the Uncertainty Identification for Linear Dynamic Systems Using Stochastic Embedding Approach with Gaussian Mixture Models. Sensors 21 (11) (2021)
Mengyu Xie, Kyubum Lee, John H. Lockhart, Scott D. Cukras, Rodrigo Carvajal, Amer A. Beg, Elsa R. Flores, Mingxiang Teng, Christine H. Chung, Aik Choon Tan
TIMEx: tumor-immune microenvironment deconvolution web-portal for bulk transcriptomics using pan-cancer scRNA-seq signatures. Bioinform. 37 (20) (2021)
Angel L. Cedeño, Ricardo Albornoz, Rodrigo Carvajal, Boris I. Godoy, Juan C. Agüero
A Two-Filter Approach for State Estimation Utilizing Quantized Output Data. Sensors 21 (22) (2021)
María Coronel, Rodrigo Carvajal, Pedro Escárate, Juan C. Agüero
Disturbance Modelling for Minimum Variance Control in Adaptive Optics Systems Using Wavefront Sensor Sampled-Data. Sensors 21 (9) (2021)
Angel L. Cedeño, Ricardo Albornoz, Boris I. Godoy, Rodrigo Carvajal, Juan C. Agüero
On Recursive State Estimation for Linear State-Space Models Having Quantized Output Data. CoRR (2021)
Youngchul Kim, Daewon Kim, Biwei Cao, Rodrigo Carvajal, Minjung Kim
PDXGEM: patient-derived tumor xenograft-based gene expression model for predicting clinical response to anticancer therapy in cancer patients. BMC Bioinform. 21 (1) (2020)
Guillermo González-Calderon, Ruizheng Liu, Rodrigo Carvajal, Jamie K. Teer
A negative storage model for precise but compact storage of genetic variation data. Database J. Biol. Databases Curation 2020 (2020)
Rodrigo Carvajal, Guillermo González-Calderon, Miguel Betin-Montes, Rhoda Gai-Cherry, Jordan H. Creed, Joseph Markowitz, Travis A. Gerke, Steven A. Eschrich, Anders Berglund
Patient Timelines for Research-Oriented Exploration of Longitudinal Cancer Patient Data: PT Explorer. AMIA (2019)
Rodrigo Carvajal, Karen Rivas, Juan C. Agüero
On maximum likelihood estimation of channel impulse response and carrier frequency offset in OFDM systems. LATINCOM (2017)
Rodrigo Carvajal, Gabriel Urrutia, Juan C. Agüero
An optimization-based algorithm for model selection using an approximation of Akaike's Information Criterion. AuCC (2016)
Rodrigo Carvajal, Karen Rivas, Juan C. Agüero
Information criterion-based channel estimation in OFDM systems with time and frequency offset. LATINCOM (2016)
Gabriel Urrutia, Ramón A. Delgado, Rodrigo Carvajal, Dimitrios Katselis, Juan C. Agüero
Sparse logistic regression utilizing cardinality constraints and information criteria. CCA (2016)
Rodrigo Carvajal, Juan C. Agüero, Boris I. Godoy, Dimitrios Katselis
-norm regularized sparse parameter estimation using the EM algorithm. CoRR (2015)
Rodrigo Carvajal, Juan C. Agüero, Boris I. Godoy, Dimitrios Katselis
A map approach for ℓq-norm regularized sparse parameter estimation using the EM algorithm. MLSP (2015)
Rodrigo Carvajal, Juan C. Agüero, Boris I. Godoy, Dimitrios Katselis
EM-based sparse channel estimation in OFDM systems with ℓq-norm regularization in the presence of phase noise and frequency offset. LATINCOM (2015)
Boris I. Godoy, Juan C. Agüero, Rodrigo Carvajal, Graham C. Goodwin, Juan I. Yuz
Identification of sparse FIR systems using a general quantisation scheme. Int. J. Control 87 (4) (2014)
Rodrigo Carvajal, Boris I. Godoy, Juan C. Agüero, Juan I. Yuz, Werner Creixell
EM-based ML channel estimation in OFDM systems with phase distortion using RB-EKF. WPMC (2014)
Rodrigo Carvajal, Boris I. Godoy, Juan C. Agüero
A Bayesian approach to sparse channel estimation in OFDM systems. CoRR (2013)
Boris I. Godoy, Rodrigo Carvajal, Juan C. Agüero
An EM-based estimation algorithm for a class of systems promoting sparsity. ECC (2013)
Rodrigo Carvajal, Juan C. Agüero, Boris I. Godoy, Graham C. Goodwin
EM-Based Maximum-Likelihood Channel Estimation in Multicarrier Systems With Phase Distortion. IEEE Trans. Veh. Technol. 62 (1) (2013)
Ramón A. Delgado, Graham C. Goodwin, Rodrigo Carvajal, Juan C. Agüero
A novel approach to model error modelling using the expectation-maximization algorithm. CDC (2012)
Rodrigo Carvajal, Boris I. Godoy, Juan C. Agüero, Graham C. Goodwin
EM-based sparse channel estimation in OFDM systems. SPAWC (2012)
Rodrigo Carvajal, Kaushik Mahata, Juan C. Agüero
Low Complexity Wiener Filtering in CDMA Systems Using a Class of Pseudo-Noise Spreading Codes. IEEE Commun. Lett. 16 (9) (2012)
Rodrigo Carvajal, Boris I. Godoy, Juan C. Agüero, Juan I. Yuz
A filtering approach for model selection. ICCA (2011)
Rodrigo Carvajal, Juan C. Agüero, Boris I. Godoy, Graham C. Goodwin
EM-Based Channel Estimation in OFDM Systems with Phase Noise. GLOBECOM (2011)
Alberto J. Cañas, Roger Carff, Greg Hill, Marco M. Carvalho, Marco Arguedas, Thomas C. Eskridge, James Lott, Rodrigo Carvajal
Concept Maps: Integrating Knowledge and Information Visualization. Knowledge and Information Visualization (2005)