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Nicoletta Saulig
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2020 – today
- 2022
- [j11]David Bacnar
, Nicoletta Saulig
Entropy-Based Concentration and Instantaneous Frequency of TFDs from Cohen's, Affine, and Reassigned Classes. Sensors 22(10): 3727 (2022) - [j10]Nicoletta Saulig
Block-Adaptive Rényi Entropy-Based Denoising for Non-Stationary Signals. Sensors 22(21): 8251 (2022) - [j9]Nicoletta Saulig
Signal Useful Information Recovery by Overlapping Supports of Time-Frequency Representations. IEEE Trans. Signal Process. 70: 5504-5517 (2022) - 2020
- [j8]Ana Vrankovic, Jonatan Lerga, Nicoletta Saulig:
A novel approach to extracting useful information from noisy TFDs using 2D local entropy measures. EURASIP J. Adv. Signal Process. 2020(1): 18 (2020)
2010 – 2019
- 2019
- [j7]Zeljka Milanovic
Spectrogram-based assessment of small SNR variations, with application to medical electrodes. EURASIP J. Adv. Signal Process. 2019: 38 (2019) - [j6]Nicoletta Saulig
Extraction of Useful Information Content From Noisy Signals Based on Structural Affinity of Clustered TFDs' Coefficients. IEEE Trans. Signal Process. 67(12): 3154-3167 (2019) - [c4]Nicoletta Saulig, Jonatan Lerga
Adaptive Thresholding in Extracting Useful Information From Noisy Time- Frequency Distributions. ISPA 2019: 329-334 - 2017
- [j5]Jonatan Lerga
Algorithm based on the short-term Rényi entropy and IF estimation for noisy EEG signals analysis. Comput. Biol. Medicine 80: 1-13 (2017) - [j4]Nicoletta Saulig
A local entropy-based algorithm for information content extraction from time-frequency distributions of noisy signals. Digit. Signal Process. 70: 155-165 (2017) - [c3]Jonatan Lerga
TFD thresholding in estimating the number of EEG components and the dominant if using the short-term rényi entropy. ISPA 2017: 80-85 - 2016
- [j3]Nicoletta Saulig
Optimization of quadratic time-frequency distributions using the local Rényi entropy information. Signal Process. 129: 17-24 (2016) - 2015
- [c2]Ivan Marasovic, Nicoletta Saulig, Zeljka Milanovic
Rényi entropy based failure detection of medical electrodes. SoftCOM 2015: 346-350 - 2014
- [j2]Victor Sucic
Analysis of local time-frequency entropy features for nonstationary signal components time supports detection. Digit. Signal Process. 34: 56-66 (2014) - 2013
- [c1]Nicoletta Saulig, Nelly Pustelnik, Pierre Borgnat, Patrick Flandrin, Victor Sucic:
Instantaneous counting of components in nonstationary signals. EUSIPCO 2013: 1-5 - 2011
- [j1]Victor Sucic
Estimating the number of components of a multicomponent nonstationary signal using the short-term time-frequency Rényi entropy. EURASIP J. Adv. Signal Process. 2011: 125 (2011)
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