Her primary areas of study are Algorithm, Signal processing, Theoretical computer science, Wavelet and Filter bank. In her study, which falls under the umbrella issue of Algorithm, Kernel adaptive filter is strongly linked to Speech recognition. She combines subjects such as Optimization problem, Digital signal processing, Fourier transform and Computer engineering with her study of Signal processing.
Jelena Kovacevic interconnects Toolbox and Robustness in the investigation of issues within Theoretical computer science. Her Wavelet research includes themes of Basis, Discrete time and continuous time, Filter and Pure mathematics. Jelena Kovacevic has researched Filter bank in several fields, including Discrete mathematics, Digital filter, Multidimensional systems, Mathematical optimization and Filter.
Her primary areas of investigation include Algorithm, Artificial intelligence, Computer vision, Signal processing and Filter bank. Her work deals with themes such as Theoretical computer science, Filter, Speech recognition, Filter and Graph, which intersect with Algorithm. The study of Artificial intelligence is intertwined with the study of Pattern recognition in a number of ways.
Her Signal processing research focuses on subjects like Fourier transform, which are linked to Orthonormal basis. Her study in Filter bank is interdisciplinary in nature, drawing from both Discrete mathematics, Filter design, Digital filter, Multidimensional systems and Wavelet. Her Wavelet research is mostly focused on the topic Wavelet transform.
The scientist’s investigation covers issues in Graph, Algorithm, Signal processing, Theoretical computer science and Point cloud. The study incorporates disciplines such as Graph, Sampling, Supervised learning, Noise reduction and Acceleration in addition to Algorithm. Her Graph research incorporates elements of Image segmentation and Directed graph.
Her Signal processing study integrates concerns from other disciplines, such as Real-time computing and Data mining. As a part of the same scientific family, Jelena Kovacevic mostly works in the field of Theoretical computer science, focusing on Graph bandwidth and, on occasion, Hamming distance and Speedup. Her Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Pattern recognition.
Her main research concerns Algorithm, Signal processing, Point cloud, Graph and Theoretical computer science. Her work carried out in the field of Algorithm brings together such families of science as Process, Bridge, Dimensionality reduction, Supervised learning and Acceleration. The Signal processing study combines topics in areas such as Matching pursuit, Sparse approximation and Data mining.
Artificial intelligence covers Jelena Kovacevic research in Point cloud. Her Graph study combines topics from a wide range of disciplines, such as Polygon mesh, Exponential function and Piecewise. The various areas that Jelena Kovacevic examines in her Theoretical computer science study include Differentiable function, Generalization, Image and Convolution.
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.
Wavelets and Subband Coding
Martin Vetterli;Jelena Kovačevic.
Nonseparable multidimensional perfect reconstruction filter banks and wavelet bases for R/sup n/
J. Kovacevic;M. Vetterli;M. Vetterli;M. Vetterli.
IEEE Transactions on Information Theory (1992)
Graph Signal Processing: Overview, Challenges, and Applications
Antonio Ortega;Pascal Frossard;Jelena Kovacevic;Jose M. F. Moura.
Proceedings of the IEEE (2018)
Quantized Frame Expansions with Erasures
Vivek K. Goyal;Jelena Kovačević;Jonathan A. Kelner.
Applied and Computational Harmonic Analysis (2001)
Discrete Signal Processing on Graphs: Sampling Theory
Siheng Chen;Rohan Varma;Aliaksei Sandryhaila;Jelena Kovacevic.
IEEE Transactions on Signal Processing (2015)
Wavelets: the mathematical background
A. Cohen;J. Kovacevic.
Proceedings of the IEEE (1996)
Equal-Norm Tight Frames with Erasures
Peter G. Casazza;Jelena Kovačević.
Advances in Computational Mathematics (2003)
Foundations of Signal Processing
Martin Vetterli;Jelena Kovačević;Vivek K Goyal.
Life Beyond Bases: The Advent of Frames (Part II)
J. Kovacevic;A. Chebira.
IEEE Signal Processing Magazine (2007)
Reproducible research in signal processing
P. Vandewalle;J. Kovacevic;M. Vetterli.
IEEE Signal Processing Magazine (2009)
Profile was last updated on December 6th, 2021.
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