What is he best known for?
The fields of study Petre Stoica is best known for:
- Statistics
- Radar
- Beamforming
Capon, MIMO and Adaptive beamformer are the focus of his Beamforming studies.
Petre Stoica carries out multidisciplinary research, doing studies in MIMO and Beamforming.
Petre Stoica performs multidisciplinary studies into Algorithm and Upper and lower bounds in his work.
He integrates Upper and lower bounds and Algorithm in his studies.
Telecommunications and Channel (broadcasting) are commonly linked in his work.
His Telecommunications research extends to Channel (broadcasting), which is thematically connected.
His research on Statistics frequently connects to adjacent areas such as Maximum likelihood.
His Maximum likelihood study often links to related topics such as Statistics.
His Artificial intelligence study frequently involves adjacent topics like Control theory (sociology).
His most cited work include:
- MUSIC, maximum likelihood, and Cramer-Rao bound (2242 citations)
- MIMO Radar with Colocated Antennas (1921 citations)
- On robust Capon beamforming and diagonal loading (1011 citations)
What are the main themes of his work throughout his whole career to date
Petre Stoica integrates several fields in his works, including Algorithm and Programming language.
While working on this project, Petre Stoica studies both Programming language and Algorithm.
He merges many fields, such as Statistics and Covariance, in his writings.
Telecommunications and Beamforming are frequently intertwined in his study.
The study of Artificial intelligence is intertwined with the study of Control (management) in a number of ways.
His Control (management) study frequently draws connections to other fields, such as Control theory (sociology).
His research on Control theory (sociology) often connects related areas such as Artificial intelligence.
Petre Stoica integrates Applied mathematics with Mathematical analysis in his study.
He combines Mathematical analysis and Applied mathematics in his research.
Petre Stoica most often published in these fields:
- Algorithm (79.34%)
- Statistics (57.75%)
- Telecommunications (48.36%)
What were the highlights of his more recent work (between 2009-2017)?
- Algorithm (77.27%)
- Artificial intelligence (63.64%)
- Telecommunications (59.09%)
In recent works Petre Stoica was focusing on the following fields of study:
Petre Stoica focuses mostly in the field of Aperiodic graph, narrowing it down to topics relating to Combinatorics and, in certain cases, Complementary sequences.
Petre Stoica links relevant scientific disciplines such as Iterative method and Covariance matrix in the realm of Algorithm.
Petre Stoica is involved in relevant fields of research such as SIGNAL (programming language) and Set (abstract data type) in the field of Programming language.
His work on Programming language expands to the thematically related Set (abstract data type).
Many of his studies on Quantum mechanics involve topics that are commonly interrelated, such as Gaussian and Power (physics).
His Selection (genetic algorithm) research extends to the thematically linked field of Artificial intelligence.
Much of his study explores Telecommunications relationship to Radar imaging.
He merges Radar imaging with Radar in his study.
His work in Radar is not limited to one particular discipline; it also encompasses Waveform.
Between 2009 and 2017, his most popular works were:
- Source Localization and Sensing: A Nonparametric Iterative Adaptive Approach Based on Weighted Least Squares (458 citations)
- SPICE: A Sparse Covariance-Based Estimation Method for Array Processing (423 citations)
- Sparse Learning via Iterative Minimization With Application to MIMO Radar Imaging (222 citations)
In his most recent research, the most cited works focused on:
- Radar
- Beamforming
- Complementary sequences
In Minification, Petre Stoica works on issues like Mathematical optimization, which are connected to Iterative method.
He combines Iterative method and Mathematical optimization in his research.
Beamforming is connected with MIMO and Adaptive beamformer in his study.
His research combines Telecommunications and Adaptive beamformer.
His Telecommunications study typically links adjacent topics like MIMO.
In the subject of Geometry, he integrates adjacent academic fields such as Diagonal and Correlation.
Correlation connects with themes related to Geometry in his study.
He bridges between several scientific fields such as Set (abstract data type) and Construct (python library) in his study of Programming language.
His Set (abstract data type) study frequently links to related topics such as Programming language.
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