What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Algorithm
- Algebra
The scientist’s investigation covers issues in Mathematical analysis, Fractional Fourier transform, Artificial intelligence, Fourier transform and Computer vision.
His Mathematical analysis research integrates issues from Stationary sequence, Coefficient quantization, Eigenvalues and eigenvectors, Differentiator and Finite impulse response.
Soo-Chang Pei focuses mostly in the field of Artificial intelligence, narrowing it down to matters related to Pattern recognition and, in some cases, Image retrieval, Iterative reconstruction and Standard test image.
His work deals with themes such as Convolution, Fractional calculus and Signal processing, which intersect with Fourier transform.
His Computer vision study frequently intersects with other fields, such as Algorithm.
His work in Non-uniform discrete Fourier transform addresses subjects such as Discrete Fourier transform, which are connected to disciplines such as Harmonic wavelet transform.
His most cited work include:
- Effective color interpolation in CCD color filter arrays using signal correlation (310 citations)
- Discrete fractional Fourier transform based on orthogonal projections (260 citations)
- Closed-form discrete fractional and affine Fourier transforms (238 citations)
What are the main themes of his work throughout his whole career to date?
Soo-Chang Pei focuses on Algorithm, Artificial intelligence, Computer vision, Control theory and Mathematical analysis.
His Algorithm study integrates concerns from other disciplines, such as Time–frequency analysis, S transform and Signal processing.
His Pattern recognition research extends to the thematically linked field of Artificial intelligence.
His research integrates issues of Digital filter, Infinite impulse response and Filter design in his study of Control theory.
His studies in Fractional Fourier transform and Discrete Fourier series are all subfields of Mathematical analysis research.
His study on Fractional Fourier transform is covered under Fourier transform.
He most often published in these fields:
- Algorithm (30.25%)
- Artificial intelligence (29.49%)
- Computer vision (24.39%)
What were the highlights of his more recent work (between 2010-2021)?
- Artificial intelligence (29.49%)
- Computer vision (24.39%)
- Algorithm (30.25%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Computer vision, Algorithm, Fractional Fourier transform and Mathematical analysis.
Artificial intelligence is closely attributed to Pattern recognition in his research.
His Computer vision research is multidisciplinary, incorporating perspectives in Brightness and Backlight.
His research in Algorithm intersects with topics in Matrix and Signal, Time–frequency analysis.
His Fractional Fourier transform study deals with the bigger picture of Fourier transform.
His Fourier transform research is multidisciplinary, incorporating elements of Optics and Signal processing.
Between 2010 and 2021, his most popular works were:
- Image Feature Extraction in Encrypted Domain With Privacy-Preserving SIFT (139 citations)
- Image Quality Assessment Using Human Visual DOG Model Fused With Random Forest (87 citations)
- Compressed Sensing Detector Design for Space Shift Keying in MIMO Systems (80 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Algorithm
- Computer vision
Soo-Chang Pei mostly deals with Artificial intelligence, Computer vision, Algorithm, Feature extraction and Pattern recognition.
He has included themes like Visibility, Brightness, Backlight and Mean opinion score in his Computer vision study.
He has researched Algorithm in several fields, including Hartley transform, Non-uniform discrete Fourier transform, Discrete Fourier transform, Signal processing and Discrete-time Fourier transform.
His Non-uniform discrete Fourier transform course of study focuses on Discrete Hartley transform and Discrete sine transform, Discrete Fourier transform, DFT matrix, Cyclotomic fast Fourier transform and Overlap–add method.
Discrete sine transform is the subject of his research, which falls under Fractional Fourier transform.
His research in Discrete mathematics focuses on subjects like Fast Fourier transform, which are connected to Control theory.
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