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Sparse Approximation Signal Detection
Sparse Approximation Signal Detection Professors in Global
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Professor
Elias Aboutanios
University of New South Wales
Australia
signal detection
signal processing
statistical multidimensional signal processing
array signal processing
radar signal processing
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Professor
Sreeraman Rajan
Carleton University
Canada
statistical signal processing
adaptive signal processing
signal processing
compressive sensing
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Professor
Oleg Michailovich
University of Waterloo
Canada
statistical signal processing
signal processing
compressive sensing
approximation theory
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Professor
George Moustakides
University of Patras
Greece
statistical signal processing
adaptive signal processing
sequential detection
communication signal processing
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Professor
Jan Østergaard
Aalborg University
Denmark
statistical signal processing
signal processing
acoustic signal processing
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Professor
Mahdi Cheraghchi
Imperial College London
United Kingdom
sparse recovery
signal processing
compressive sensing
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Professor
Holger Rauhut
Ludwig-Maximilians-Universität München
Germany
signal processing
compressive sensing
approximation theory
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Professor
Ralf Peeters
Maastricht University
Netherlands
signal image processing
statistical parameter estimation
pattern recognition feature extraction
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Professor
Ralf Peeters
Maastricht University
Netherlands
signal image processing
statistical parameter estimation
pattern recognition feature extraction
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Professor
Zoltán Szabó
London School of Economics and Political Science
United Kingdom
structured sparsity
statistical machine learning
remote sensing
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Professor
Tatjana Pavlenko
Uppsala University
Sweden
sparse signal detection
statistical machine learning
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Professor
Tengyao Wang
London School of Economics
United Kingdom
sparse signal detection
statistical learning-assisted material discovery
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Professor
Malcolm Wong
University of New South Wales
Australia
sparse signal separation
radar signal processing
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Professor
Morten Nielsen
Aalborg University
Denmark
sparse signal processing
approximation theory
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Professor
Raman Arora
Johns Hopkins University
United States of America
stochastic approximation algorithms
statistical signal processing
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Professor
Raman Arora
Johns Hopkins University
United States of America
stochastic approximation algorithms
statistical signal processing
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Professor
Rui Pires Da Silva Castro
Eindhoven University of Technology
Belgium
statistical signal image processing
signal processing
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Professor
Mats Bengtsson
Royal Institute of Technology
Sweden
statistical signal processing
signal processing
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Professor
Geethu Joseph
Delft University of Technology
Netherlands
statistical signal processing
signal processing
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Professor
Milad Lankarany
University of Toronto
Canada
statistical signal processing
signal processing
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Professor
Pradeepa Yahampath
University of Manitoba
Canada
statistical signal processing
signal processing
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