Nicoletta Saulig

According to our database, Nicoletta Saulig authored at least 15 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Signal Useful Information Recovery by Overlapping Supports of Time-Frequency Representations.

Nicoletta Saulig, Milos Milovanovic, Sinisa Milicic, Jonatan Lerga

IEEE Trans. Signal Process., 2022

Block-Adaptive Rényi Entropy-Based Denoising for Non-Stationary Signals.

Nicoletta Saulig, Jonatan Lerga, Sinisa Milicic, Zeljka Tomasovic

Sensors, 2022

Entropy-Based Concentration and Instantaneous Frequency of TFDs from Cohen's, Affine, and Reassigned Classes.

David Bacnar, Nicoletta Saulig, Irena Petrijevcanin Vuksanovic, Jonatan Lerga

Sensors, 2022

2020

A novel approach to extracting useful information from noisy TFDs using 2D local entropy measures.

Ana Vrankovic, Jonatan Lerga, Nicoletta Saulig

EURASIP J. Adv. Signal Process., 2020

2019

Extraction of Useful Information Content From Noisy Signals Based on Structural Affinity of Clustered TFDs' Coefficients.

Nicoletta Saulig, Jonatan Lerga, Zeljka Milanovic, Cornel Ioana

IEEE Trans. Signal Process., 2019

Spectrogram-based assessment of small SNR variations, with application to medical electrodes.

Zeljka Milanovic, Nicoletta Saulig, Ivan Marasovic, Damir Sersic

EURASIP J. Adv. Signal Process., 2019

Adaptive Thresholding in Extracting Useful Information From Noisy Time- Frequency Distributions.

Nicoletta Saulig, Jonatan Lerga, Zlatko Baracskai, Milos Dakovic

Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

2017

A local entropy-based algorithm for information content extraction from time-frequency distributions of noisy signals.

Nicoletta Saulig, Zeljka Milanovic, Cornel Ioana

Digit. Signal Process., 2017

Algorithm based on the short-term Rényi entropy and IF estimation for noisy EEG signals analysis.

Jonatan Lerga, Nicoletta Saulig, Vladimir Mozetic

Comput. Biol. Medicine, 2017

TFD thresholding in estimating the number of EEG components and the dominant if using the short-term rényi entropy.

Jonatan Lerga, Nicoletta Saulig, Rebeka Lerga, Ivan Stajduhar

Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis, 2017

2016

Optimization of quadratic time-frequency distributions using the local Rényi entropy information.

Nicoletta Saulig, Irena Orovic, Victor Sucic

Signal Process., 2016

2015

Rényi entropy based failure detection of medical electrodes.

Ivan Marasovic, Nicoletta Saulig, Zeljka Milanovic

Proceedings of the 23rd International Conference on Software, 2015

2014

Analysis of local time-frequency entropy features for nonstationary signal components time supports detection.

Victor Sucic, Nicoletta Saulig, Boualem Boashash

Digit. Signal Process., 2014

2013

Instantaneous counting of components in nonstationary signals.

Nicoletta Saulig, Nelly Pustelnik, Pierre Borgnat, Patrick Flandrin, Victor Sucic

Proceedings of the 21st European Signal Processing Conference, 2013

2011

Estimating the number of components of a multicomponent nonstationary signal using the short-term time-frequency Rényi entropy.

Victor Sucic, Nicoletta Saulig, Boualem Boashash

EURASIP J. Adv. Signal Process., 2011