What is he best known for?
The fields of study he is best known for:
- Telecommunications
- Algorithm
- Electrical engineering
Antonio Cantoni focuses on Algorithm, Signal processing, Mathematical optimization, Control theory and Computer network.
His Algorithm research is multidisciplinary, incorporating elements of Antenna array, Filter and Signal.
His Signal processing research incorporates elements of Electronic engineering and Topology.
His work in Mathematical optimization tackles topics such as Recursion which are related to areas like Probability density function.
Antonio Cantoni combines subjects such as Beamforming, Adaptive beamformer and Narrowband with his study of Control theory.
His Computer network study integrates concerns from other disciplines, such as Multiplexing and Transfer.
His most cited work include:
- Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter (591 citations)
- The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations (470 citations)
- Eigenvalues and eigenvectors of symmetric centrosymmetric matrices (286 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Control theory, Electronic engineering, Mathematical optimization, Algorithm and Signal processing.
His Control theory research is multidisciplinary, relying on both Digital filter and Filter design.
His biological study spans a wide range of topics, including Phase-locked loop, Signal and Synchronization.
The Mathematical optimization study combines topics in areas such as Beamforming and Applied mathematics.
Antonio Cantoni studies Algorithm, focusing on Recursion in particular.
As part of the same scientific family, Antonio Cantoni usually focuses on Signal processing, concentrating on Antenna array and intersecting with Narrowband.
He most often published in these fields:
- Control theory (32.57%)
- Electronic engineering (23.37%)
- Mathematical optimization (17.62%)
What were the highlights of his more recent work (between 2006-2021)?
- Electronic engineering (23.37%)
- Mathematical optimization (17.62%)
- Algorithm (17.62%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Electronic engineering, Mathematical optimization, Algorithm, Control theory and Beamforming.
The study incorporates disciplines such as Baseband, Transmission line, Signal integrity and Transmitter in addition to Electronic engineering.
As a part of the same scientific study, Antonio Cantoni usually deals with the Mathematical optimization, concentrating on Constraint and frequently concerns with Fundamental frequency and Harmonic analysis.
In general Algorithm study, his work on Recursion often relates to the realm of Gaussian process, thereby connecting several areas of interest.
His Control theory research integrates issues from Digital filter, Matrix, Low complexity and Mimo systems.
His Digital filter study combines topics from a wide range of disciplines, such as Mean squared error and Signal processing.
Between 2006 and 2021, his most popular works were:
- Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter (591 citations)
- The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations (470 citations)
- Bayesian Filtering With Random Finite Set Observations (127 citations)
In his most recent research, the most cited papers focused on:
- Telecommunications
- Algorithm
- Electrical engineering
His scientific interests lie mostly in Mathematical optimization, Control theory, Algorithm, Electronic engineering and Gradient method.
He works mostly in the field of Mathematical optimization, limiting it down to topics relating to Mutual recursion and, in certain cases, Linearization, Cardinality, Point process and Finite set, as a part of the same area of interest.
His research integrates issues of Digital filter, Low complexity, Mimo systems and Transmitter in his study of Control theory.
The concepts of his Digital filter study are interwoven with issues in Mean squared error and Signal processing.
His Recursion study, which is part of a larger body of work in Algorithm, is frequently linked to Unscented transform and Gaussian process, bridging the gap between disciplines.
His Electronic engineering study incorporates themes from Busbar, Low frequency, Electrical impedance, Input impedance and Ground plane.
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