David Luengo
About
David Luengo has authored 68 papers that have received a total of 1.1k indexed citations.
This includes 33 papers in Artificial Intelligence, 22 papers in Signal Processing and 17 papers in Statistics and Probability. The topics of these papers are Blind Source Separation Techniques (18 papers), Bayesian Methods and Mixture Models (14 papers) and Markov Chains and Monte Carlo Methods (11 papers). David Luengo is often cited by papers focused on Blind Source Separation Techniques (18 papers), Bayesian Methods and Mixture Models (14 papers) and Markov Chains and Monte Carlo Methods (11 papers) and collaborates with scholars based in Spain, Finland and Israel. David Luengo's co-authors include Luca Martino, Vı́ctor Elvira, Mónica F. Bugallo, Ignacio Santamarı́a and Jukka Corander and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Signal Processing
In The Last Decade
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