What is he best known for?
The fields of study he is best known for:
- Mathematical analysis
- Statistics
- Algorithm
The scientist’s investigation covers issues in Algorithm, Mathematical analysis, Control theory, Banach space and Nonlinear system.
His studies deal with areas such as Digital filter, Discrete Fourier transform and Sonar as well as Algorithm.
N. U. Ahmed combines subjects such as Non-uniform discrete Fourier transform, Transform coding, Modified discrete cosine transform, Lapped transform and Discrete Hartley transform with his study of Discrete Fourier transform.
His research in Modified discrete cosine transform tackles topics such as Image processor which are related to areas like Discrete sine transform.
His Mathematical analysis research is multidisciplinary, incorporating perspectives in Terminal and Pure mathematics.
His research integrates issues of Computer simulation and Fading in his study of Control theory.
His most cited work include:
- Discrete Cosine Transform (3635 citations)
- Discrete Cosine Transfom (2116 citations)
- Orthogonal transforms for digital signal processing (841 citations)
What are the main themes of his work throughout his whole career to date?
N. U. Ahmed spends much of his time researching Mathematical analysis, Control theory, Optimal control, Algorithm and Applied mathematics.
His studies in Mathematical analysis integrate themes in fields like Pure mathematics and Nonlinear system.
N. U. Ahmed works in the field of Control theory, focusing on Linear system in particular.
N. U. Ahmed works mostly in the field of Optimal control, limiting it down to topics relating to Class and, in certain cases, Distributed parameter system.
His Algorithm research incorporates themes from Fourier transform and Signal processing.
The various areas that N. U. Ahmed examines in his Adaptive filter study include Digital filter and Kernel adaptive filter.
He most often published in these fields:
- Mathematical analysis (29.57%)
- Control theory (22.85%)
- Optimal control (21.51%)
What were the highlights of his more recent work (between 2001-2020)?
- Optimal control (21.51%)
- Mathematical analysis (29.57%)
- Applied mathematics (13.44%)
In recent papers he was focusing on the following fields of study:
His main research concerns Optimal control, Mathematical analysis, Applied mathematics, Mathematical optimization and Hilbert space.
The concepts of his Optimal control study are interwoven with issues in Kalman filter, Vector measure, Boundary value problem and Algebra.
His Mathematical analysis and Measure, Banach space, Differential inclusion, Class and Space investigations all form part of his Mathematical analysis research activities.
N. U. Ahmed has researched Applied mathematics in several fields, including Neutral differential equations, Differential equation and Cover.
The study incorporates disciplines such as State and Nonlinear system in addition to Mathematical optimization.
To a larger extent, N. U. Ahmed studies Control theory with the aim of understanding Nonlinear system.
Between 2001 and 2020, his most popular works were:
- Outage minimization with limited feedback for the fading relay channel (144 citations)
- Outage minimization and optimal power control for the fading relay channel (111 citations)
- Dynamic Systems and Control with Applications (71 citations)
In his most recent research, the most cited papers focused on:
- Mathematical analysis
- Statistics
- Hilbert space
Control theory, Optimal control, Mathematical analysis, Banach space and Computer network are his primary areas of study.
His study in the fields of Linear system and Nonlinear system under the domain of Control theory overlaps with other disciplines such as Power control, Relay channel and Relay.
His Optimal control study which covers Applied mathematics that intersects with Hilbert space and Riesz representation theorem.
His study of Cover is a part of Mathematical analysis.
His Banach space study combines topics from a wide range of disciplines, such as Space and Differential inclusion.
His Fair-share scheduling, Base station and Packet scheduling algorithm study, which is part of a larger body of work in Computer network, is frequently linked to Group based, bridging the gap between disciplines.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
