2022 - Research.com Computer Science in Switzerland Leader Award
2022 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
2019 - Member of Academia Europaea
2017 - Jack S. Kilby Signal Processing Medal For fundamental contributions to advanced sampling
2015 - Member of the National Academy of Engineering For development of time-frequency representations and algorithms in multimedia signal processing and communications.
2009 - ACM Fellow For contributions to multimedia compression and communication.
His main research concerns Algorithm, Filter bank, Wavelet, Wavelet transform and Signal processing. His studies deal with areas such as Transform coding, Mathematical optimization, Computer vision and Signal reconstruction as well as Algorithm. His Filter bank research incorporates themes from Filter, Filter, Filter design, Control theory and Digital filter.
His Wavelet research includes themes of Basis and Pure mathematics. His Wavelet transform research entails a greater understanding of Artificial intelligence. His research investigates the connection with Artificial intelligence and areas like Pattern recognition which intersect with concerns in Image retrieval.
Martin Vetterli spends much of his time researching Algorithm, Artificial intelligence, Computer vision, Wavelet and Mathematical optimization. Martin Vetterli has researched Algorithm in several fields, including Theoretical computer science, Signal reconstruction, Signal processing, Sampling and Filter bank. His Filter bank research integrates issues from Digital filter, Filter and Filter.
His Artificial intelligence research is multidisciplinary, relying on both Computer graphics and Pattern recognition. His study in Wavelet transform, Discrete wavelet transform, Wavelet packet decomposition and Stationary wavelet transform falls under the purview of Wavelet. His research integrates issues of Transform coding and Image compression in his study of Data compression.
Martin Vetterli mostly deals with Algorithm, Artificial intelligence, Computer vision, Mathematical optimization and Compressed sensing. The various areas that Martin Vetterli examines in his Algorithm study include Set, Sampling, Signal, Trajectory and Euclidean distance. His research on Sampling also deals with topics like
The Artificial intelligence study combines topics in areas such as Quadratic growth and Pattern recognition. His Mathematical optimization research is multidisciplinary, incorporating elements of Estimator, Inverse problem and Robustness. Martin Vetterli has included themes like Position and Signal processing in his Wireless sensor network study.
His primary areas of investigation include Algorithm, Artificial intelligence, Computer vision, Mathematical optimization and Compressed sensing. His Algorithm study incorporates themes from Signal, Microphone, Sampling, Iterative reconstruction and Euclidean distance. His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning, Ultrasonic sensor, Process and Scaling.
His studies in Computer vision integrate themes in fields like Calibration Error, Ultrasound Tomography, Set and Matrix completion. His Mathematical optimization study integrates concerns from other disciplines, such as Noise measurement, Sparse matrix, Robustness and Moore–Penrose pseudoinverse. His Compressed sensing study combines topics in areas such as Underdetermined system, Probability distribution, Random matrix, Combinatorics and Block matrix pseudoinverse.
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.
The contourlet transform: an efficient directional multiresolution image representation
M.N. Do;M. Vetterli.
IEEE Transactions on Image Processing (2005)
Wavelets and Subband Coding
Martin Vetterli;Jelena Kovačevic.
(2013)
Wavelets and signal processing
O. Rioul;M. Vetterli.
IEEE Signal Processing Magazine (1991)
Adaptive wavelet thresholding for image denoising and compression
S.G. Chang;Bin Yu;M. Vetterli.
IEEE Transactions on Image Processing (2000)
Wavelets and filter banks: theory and design
M. Vetterli;C. Herley.
IEEE Transactions on Signal Processing (1992)
Receiver-driven layered multicast
Steven McCanne;Van Jacobson;Martin Vetterli.
acm special interest group on data communication (1996)
Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance
M.N. Do;M. Vetterli.
IEEE Transactions on Image Processing (2002)
Spatially adaptive wavelet thresholding with context modeling for image denoising
S.G. Chang;Bin Yu;M. Vetterli.
IEEE Transactions on Image Processing (2000)
Sampling signals with finite rate of innovation
M. Vetterli;P. Marziliano;T. Blu.
IEEE Transactions on Signal Processing (2002)
Fast fourier transforms: a tutorial review and a state of the art
P. Duhamel;M. Vetterli.
Signal Processing (1990)
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