What is he best known for?
The fields of study he is best known for:
- Statistics
- Algorithm
- Algebra
His scientific interests lie mostly in Control theory, Filter bank, Digital filter, Algorithm and Signal processing.
His research in Control theory intersects with topics in Quadrature mirror filter, Prototype filter, Band-pass filter and Topology.
His work carried out in the field of Filter bank brings together such families of science as Filter, Filter design, Network synthesis filters, Decimation and Wavelet transform.
His Digital filter study incorporates themes from Transfer function, Filter, Lossless compression, Linear phase and Electronic engineering.
His Algorithm research includes themes of Sensor array, Beamforming, Mathematical optimization and Biorthogonal system.
P.P. Vaidyanathan combines subjects such as Bioinformatics, Genomics, Computational biology, Gene prediction and DNA sequencing with his study of Signal processing.
His most cited work include:
- Multirate Systems and Filter Banks (4109 citations)
- Nested Arrays: A Novel Approach to Array Processing With Enhanced Degrees of Freedom (909 citations)
- Multirate digital filters, filter banks, polyphase networks, and applications: a tutorial (904 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Algorithm, Control theory, Filter bank, Digital filter and Signal processing.
His Algorithm course of study focuses on Mathematical optimization and Biorthogonal system.
His study in Control theory is interdisciplinary in nature, drawing from both Infinite impulse response, MIMO, Prototype filter and Topology.
His work deals with themes such as Discrete mathematics, Orthonormal basis and Filter, Filter, Filter design, which intersect with Filter bank.
P.P. Vaidyanathan interconnects Transfer function, Lossless compression and Linear phase in the investigation of issues within Digital filter.
His work in Signal processing addresses subjects such as Electronic engineering, which are connected to disciplines such as Transceiver and Waveform.
He most often published in these fields:
- Algorithm (39.71%)
- Control theory (31.48%)
- Filter bank (31.31%)
What were the highlights of his more recent work (between 2013-2021)?
- Algorithm (39.71%)
- Discrete mathematics (14.85%)
- Ramanujan's sum (3.58%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Algorithm, Discrete mathematics, Ramanujan's sum, Coprime integers and Combinatorics.
His Algorithm study integrates concerns from other disciplines, such as Spectral density estimation, Period, Sensor array and Array processing.
His Ramanujan's sum research integrates issues from Digital signal processing, Filter bank, Linear subspace and Arithmetic.
His Filter bank study combines topics in areas such as Filter and Unit circle.
His Coprime integers research incorporates elements of Redundancy, Degrees of freedom, Control theory and Topology.
His research integrates issues of Passband and Filter in his study of Control theory.
Between 2013 and 2021, his most popular works were:
- Remarks on the Spatial Smoothing Step in Coarray MUSIC (208 citations)
- Super Nested Arrays: Linear Sparse Arrays With Reduced Mutual Coupling—Part I: Fundamentals (154 citations)
- Cramér-Rao bounds for coprime and other sparse arrays, which find more sources than sensors (114 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Algorithm
- Algebra
P.P. Vaidyanathan mainly investigates Algorithm, Coprime integers, Discrete mathematics, Array processing and Combinatorics.
In his articles, P.P. Vaidyanathan combines various disciplines, including Algorithm and Uncorrelated.
The Coprime integers study combines topics in areas such as Matrix, Simple, Mathematical optimization and Control theory.
His research on Discrete mathematics also deals with topics like
- Euler's totient function and related Dimension,
- Eigenvalues and eigenvectors which is related to area like Polyphase system, Unit circle, Symmetric matrix, Matrix decomposition and Signal processing,
- Linear subspace which is related to area like Discrete-time signal, Signal subspace and Spectral density estimation.
His research in Array processing intersects with topics in Cramér–Rao bound, Sparse array and Topology.
P.P. Vaidyanathan undertakes interdisciplinary study in the fields of Filter bank and Modular decomposition through his works.
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