Ljubisa Stankovic
University of Montenegro
328 Papers
2.3K Citations
Ljubisa Stankovic is an academic researcher from University of Montenegro. The author has contributed to research in topics: Time–frequency analysis & Signal processing. The author has an hindex of 46, co-authored 306 publications. Previous affiliations of Ljubisa Stankovic include Imperial College London & Montenegrin Academy of Sciences and Arts.
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Papers
An analysis of some time-frequency and time-scale distributions
TL;DR: In this article, an analysis of the representation of instantaneous frequency and group delay using time-frequency transforms or distributions of energy density domain is presented, which ideally represent the instantaneous frequency or group delay (itfd) are defined.
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Inverse radon transform–based micro-doppler analysis from a reduced set of observations
TL;DR: A method for accurate and efficient parameter estimation and decomposition of sinusoidally frequency modulated signals is presented and theory is illustrated on signals with one and more components, including noise and disturbances, as well as time-frequency patterns that deviate from sinusoidal form.
74
Multiwindow S-method for instantaneous frequency estimation and its application in radar signal analysis
TL;DR: In this article, a new distribution that provides high concentration in the time-frequency domain is proposed, based on the S-method and multi-window approach, where different order Hermite functions are employed as multiple windows.
74
Time-frequency decomposition of multivariate multicomponent signals
TL;DR: The analysis shows that the multivariate signal components can be obtained as linear combinations of the eigenvectors that minimize the concentration measure in the time-frequency domain.
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Robust Wigner distribution with application to the instantaneous frequency estimation
Igor Djurovic,Ljubisa Stankovic +1 more
TL;DR: The robust Wigner distribution is introduced, a reliable TF representation tool for wide class of nonstationary signals corrupted with impulse noise, and produces good accuracy of the instantaneous frequency (IF) estimation.
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