What is he best known for?
The fields of study he is best known for:
- Statistics
- Algorithm
- Telecommunications
Electronic engineering, Signal processing, Algorithm, Sensor array and Detection theory are his primary areas of study.
His Electronic engineering research integrates issues from Digital filter, Prototype filter and Median filter.
Saleem A. Kassam combines subjects such as Speech recognition, Matched filter, Multidimensional signal processing, Robustness and Statistical signal processing with his study of Algorithm.
Saleem A. Kassam has researched Sensor array in several fields, including Beamforming and Sensor fusion.
The Sensor fusion study combines topics in areas such as Distributed computing and Constrained optimization.
He has included themes like Stochastic process, Constant false alarm rate, Detector and Control theory in his Detection theory study.
His most cited work include:
- Finite-state Markov model for Rayleigh fading channels (753 citations)
- Distributed detection with multiple sensors II. Advanced topics (714 citations)
- Distributed detection with multiple sensors II. Advanced topics (714 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Algorithm, Detection theory, Electronic engineering, Control theory and Signal processing.
His Algorithm study integrates concerns from other disciplines, such as Signal, Noise, Blind equalization and Nonlinear system.
His Detection theory research incorporates themes from Data quantization, Constant false alarm rate, Detector and Sensor fusion.
His work in the fields of Electronic engineering, such as Wideband, overlaps with other areas such as Data acquisition.
His Control theory course of study focuses on Matched filter and Multidimensional signal processing.
His Signal processing research is multidisciplinary, relying on both Digital filter, Boundary and Sensor array.
He most often published in these fields:
- Algorithm (46.00%)
- Detection theory (20.00%)
- Electronic engineering (20.00%)
What were the highlights of his more recent work (between 2003-2017)?
- Algorithm (46.00%)
- Blind equalization (12.67%)
- Blind signal separation (7.33%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Algorithm, Blind equalization, Blind signal separation, Wideband and Synthetic aperture radar.
The concepts of his Algorithm study are interwoven with issues in Convergence, Speech recognition, Probability density function and Antenna.
Wideband is a subfield of Electronic engineering that he investigates.
Saleem A. Kassam has researched Electronic engineering in several fields, including Image resolution, Telecommunications and Channel state information.
The study incorporates disciplines such as Inverse synthetic aperture radar, Side looking airborne radar, Clutter and Beamforming in addition to Synthetic aperture radar.
In his work, Sensor array and Angular resolution is strongly intertwined with Acoustics, which is a subfield of Beamforming.
Between 2003 and 2017, his most popular works were:
- Synthetic aperture beamformer for imaging through a dielectric wall (264 citations)
- Design and implementation of near-field, wideband synthetic aperture beamformers (77 citations)
- Target and change detection in synthetic aperture radar sensing of urban structures (36 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Algorithm
- Telecommunications
Saleem A. Kassam mostly deals with Synthetic aperture radar, Algorithm, Beamforming, Side looking airborne radar and Inverse synthetic aperture radar.
As a part of the same scientific study, Saleem A. Kassam usually deals with the Synthetic aperture radar, concentrating on Clutter and frequently concerns with Artificial intelligence.
His Algorithm study combines topics in areas such as Blind equalization, Quadrature, Quadrature amplitude modulation and Blind signal separation.
His study in Blind signal separation is interdisciplinary in nature, drawing from both Probability distribution, In-phase and quadrature components, Phase-shift keying, Signal reconstruction and Speech recognition.
His biological study spans a wide range of topics, including Acoustics and Optics, Wideband.
His Wideband research entails a greater understanding of Electronic engineering.
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