1989 - Member of Academia Europaea
1989 - IEEE Fellow For contributions to digital-signal processing algorithms and engineering education.
Yrjö Neuvo focuses on Algorithm, Digital filter, Filter, Adaptive filter and Median filter. His Algorithm research is multidisciplinary, relying on both Prototype filter and Signal processing. His Signal processing research focuses on Noise and how it relates to Image restoration.
His research integrates issues of Network synthesis filters, Control theory and Finite impulse response in his study of Digital filter. The study incorporates disciplines such as Noise reduction and Mathematical optimization in addition to Filter. His research on Median filter focuses in particular on Weighted median.
His main research concerns Algorithm, Digital filter, Median filter, Artificial intelligence and Control theory. Yrjö Neuvo combines subjects such as Noise, Filter and Signal processing with his study of Algorithm. His Digital filter research is multidisciplinary, incorporating elements of Mean squared error and Electronic engineering, Bandwidth.
In his work, Detection theory is strongly intertwined with Matched filter, which is a subfield of Median filter. His Artificial intelligence study combines topics in areas such as Signal, Computer vision and Pattern recognition. His study looks at the relationship between Control theory and fields such as Prototype filter, as well as how they intersect with chemical problems.
His primary areas of investigation include Algorithm, Median filter, Weighted median, Artificial intelligence and Computer vision. His Algorithm research includes themes of Mathematical optimization, Filter and Signal processing. His research in Median filter intersects with topics in Interference, Code division multiple access and Block Truncation Coding.
Yrjö Neuvo interconnects Computation and Pattern recognition in the investigation of issues within Artificial intelligence. In general Computer vision study, his work on Image restoration, Edge detection and Weighted median filtering often relates to the realm of Center, thereby connecting several areas of interest. His Control theory study incorporates themes from Digital filter and Filter design.
Yrjö Neuvo mainly focuses on Algorithm, Median filter, Filter, Weighted median and Adaptive filter. His Algorithm study frequently involves adjacent topics like Signal processing. His Signal processing course of study focuses on Control theory and Digital filter.
As part of his Image processing, Computer vision and Artificial intelligence and Median filter studies, he is studying Median filter. His work deals with themes such as Speech recognition, Speech coding and Signal, which intersect with Filter. The Adaptive filter study combines topics in areas such as Artificial neural network and Mathematical optimization.
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.
Vector median filters
J. Astola;P. Haavisto;Y. Neuvo.
Proceedings of the IEEE (1990)
Weighted median filters: a tutorial
Lin Yin;Ruikang Yang;M. Gabbouj;Y. Neuvo.
IEEE Transactions on Circuits and Systems Ii: Analog and Digital Signal Processing (1996)
Detail-preserving median based filters in image processing
Tong Sun;Yrjö Neuvo.
Pattern Recognition Letters (1994)
Interpolated finite impulse response filters
Y. Neuvo;Dong Cheng-Yu;S. Mitra.
IEEE Transactions on Acoustics, Speech, and Signal Processing (1984)
A New Class of Detail-Preserving Filters for Image Processing
Ari Nieminen;Pekka Heinonen;Yrjo Neuvo.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1987)
Analysis of the properties of median and weighted median filters using threshold logic and stack filter representation
O. Yli-Harja;J. Astola;Y. Neuvo.
IEEE Transactions on Signal Processing (1991)
The maximum sampling rate of digital filters under hardware speed constraints
M. Renfors;Y. Neuvo.
IEEE Transactions on Circuits and Systems (1981)
FIR-median hybrid filters
P. Heinonen;Y. Neuvo.
IEEE Transactions on Acoustics, Speech, and Signal Processing (1987)
Optimal weighted median filtering under structural constraints
Ruikang Yang;Lin Yin;M. Gabbouj;J. Astola.
IEEE Transactions on Signal Processing (1995)
FIR-median hybrid filters with predictive FIR substructures
P. Heinonen;Y. Neuvo.
IEEE Transactions on Acoustics, Speech, and Signal Processing (1988)
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