What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Algorithm
- Statistics
His scientific interests lie mostly in Algorithm, Digital filter, Control theory, Artificial intelligence and Computer vision.
The study incorporates disciplines such as Transform coding, Harmonic Vector Excitation Coding, Prototype filter and Signal processing in addition to Algorithm.
His Digital filter research includes themes of Transfer function, Filter and Network synthesis filters, Electronic engineering, Finite impulse response.
His research integrates issues of Low-pass filter, Filter, Filter design and Filter bank in his study of Control theory.
As a part of the same scientific study, Sanjit K. Mitra usually deals with the Artificial intelligence, concentrating on Pattern recognition and frequently concerns with Subpixel rendering and Camera resectioning.
His Computer vision research is multidisciplinary, incorporating elements of Audio signal processing, Radar imaging and Metric.
His most cited work include:
- Digital Signal Processing : A Computer-Based Approach (1422 citations)
- Multisensor image fusion using the wavelet transform (1418 citations)
- A new efficient approach for the removal of impulse noise from highly corrupted images (595 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Algorithm, Artificial intelligence, Control theory, Computer vision and Digital filter.
His biological study deals with issues like Signal processing, which deal with fields such as Digital signal processing.
Much of his study explores Artificial intelligence relationship to Pattern recognition.
He focuses mostly in the field of Control theory, narrowing it down to topics relating to Filter design and, in certain cases, Low-pass filter.
In his study, which falls under the umbrella issue of Computer vision, Artifact is strongly linked to Annoyance.
His study in Digital filter is interdisciplinary in nature, drawing from both Transfer function, Filter, Electronic engineering, Finite impulse response and Topology.
He most often published in these fields:
- Algorithm (31.12%)
- Artificial intelligence (30.58%)
- Control theory (23.92%)
What were the highlights of his more recent work (between 2003-2020)?
- Artificial intelligence (30.58%)
- Computer vision (27.34%)
- Algorithm (31.12%)
In recent papers he was focusing on the following fields of study:
Sanjit K. Mitra mainly focuses on Artificial intelligence, Computer vision, Algorithm, Electronic engineering and Control theory.
His Artificial intelligence research focuses on subjects like Brightness, which are linked to Colorfulness.
Artifact, Speech recognition, Statistics, Mean squared error and Ringing artifacts is closely connected to Annoyance in his research, which is encompassed under the umbrella topic of Computer vision.
His work carried out in the field of Algorithm brings together such families of science as Theoretical computer science, Sharpening, Band-stop filter, Encoder and Signal processing.
The various areas that Sanjit K. Mitra examines in his Electronic engineering study include Factorization, Antenna aperture, Polynomial and Prototype filter.
His Control theory research incorporates elements of Low-pass filter, Filter, Filter design and Decimation.
Between 2003 and 2020, his most popular works were:
- Enhancement of Color Images by Scaling the DCT Coefficients (189 citations)
- Voice activity detection based on multiple statistical models (182 citations)
- Optimized LOWESS normalization parameter selection for DNA microarray data (114 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Algorithm
Sanjit K. Mitra mostly deals with Artificial intelligence, Computer vision, Decimation, Algorithm and Data compression.
His work on Speech processing is typically connected to Psychophysics as part of general Artificial intelligence study, connecting several disciplines of science.
His Computer vision research integrates issues from Digital video and Video compression picture types.
The various areas that Sanjit K. Mitra examines in his Decimation study include Control theory, Filter, Comb filter, Integrator and Electronic engineering.
His Algorithm research incorporates elements of Band-stop filter, Signal processing, Discrete Fourier transform, Discrete sine transform and Motion vector.
His Data compression research incorporates themes from Annoyance, Real-time computing, Mobile computing and Artifact.
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