Jonatan Lerga
Jonatan Lerga
University of Rijeka, Faculty of Engineering & Center for Artificial Intelligence and Cybersecurity
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Cited by
Cited by
Nonlinear IF estimation based on the pseudo WVD adapted using the improved sliding pairwise ICI rule
J Lerga, V Sucic
IEEE Signal Processing Letters 16 (11), 953-956, 2009
Deep learning for feature extraction in remote sensing: A case-study of aerial scene classification
B Petrovska, E Zdravevski, P Lameski, R Corizzo, I Štajduhar, J Lerga
Sensors 20 (14), 3906, 2020
An efficient algorithm for instantaneous frequency estimation of nonstationary multicomponent signals in low SNR
L Jonatan, S Victor, B Boualem
EURASIP Journal on Advances in Signal Processing 2011, 16, 2011
A signal denoising method based on the improved ICI rule
J Lerga, M Vrankić, V Sucic
Signal Processing Letters, IEEE 15, 601-604, 2008
Detection of non-stationary GW signals in high noise from Cohen’s class of time–frequency representations using deep learning
N Lopac, F Hržić, IP Vuksanović, J Lerga
Ieee Access 10, 2408-2428, 2021
Algorithm based on the short-term Rényi entropy and IF estimation for noisy EEG signals analysis
J Lerga, N Saulig, V Mozetič
Computers in biology and medicine 80, 1-13, 2017
Local-entropy based approach for X-ray image segmentation and fracture detection
F Hržić, I Štajduhar, S Tschauner, E Sorantin, J Lerga
Entropy 21 (4), 338, 2019
Multicomponent noisy signal adaptive instantaneous frequency estimation using components time support information
V Sucic, J Lerga, B Boashash
IET signal processing 8 (3), 277-284, 2014
Adaptive filtering and analysis of EEG signals in the time-frequency domain based on the local entropy
G Madhale Jadav, J Lerga, I Štajduhar
EURASIP Journal on Advances in Signal Processing 2020 (1), 1-18, 2020
Denoising of X-ray images using the adaptive algorithm based on the LPA-RICI algorithm
I Mandić, H Peić, J Lerga, I Štajduhar
Journal of Imaging 4 (2), 34, 2018
Extraction of useful information content from noisy signals based on structural affinity of clustered tfds’ coefficients
N Saulig, J Lerga, Ž Milanović, C Ioana
IEEE Transactions on Signal Processing 67 (12), 3154-3167, 2019
Adaptive filter support selection for signal denoising based on the improved ICI rule
V Sucic, J Lerga, M Vrankić
Digital Signal Processing 23 (1), 65-74, 2012
Particle-swarm-optimization-enhanced radial-basis-function-kernel-based adaptive filtering applied to maritime data
N Lopac, I Jurdana, J Lerga, N Wakabayashi
Journal of Marine Science and Engineering 9 (4), 439, 2021
Performance analysis of the LPA-RICI denoising method
J Lerga, V Sucic, D Seršić
Image and Signal Processing and Analysis, 2009. ISPA 2009. Proceedings of …, 2009
A novel approach to extracting useful information from noisy TFDs using 2D local entropy measures
A Vranković, J Lerga, N Saulig
EURASIP Journal on Advances in Signal Processing 2020, 1-19, 2020
Automatic music transcription for traditional woodwind instruments sopele
A Skoki, S Ljubic, J Lerga, I Štajduhar
Pattern Recognition Letters 128, 340-347, 2019
TFD thresholding in estimating the number of EEG components and the dominant if using the short-term rényi entropy
J Lerga, N Saulig, R Lerga, I Štajduhar
Proceedings of the 10th International Symposium on Image and Signal …, 2017
An improved method for nonstationary signals components extraction based on the ICI rule
J Lerga, V Sucic, B Boashash
International Workshop on Systems, Signal Processing and their Applications …, 2011
Deep Learning Approach for Objects Detection in Underwater Pipeline Images
B Gašparović, J Lerga, G Mauša, M Ivašić-Kos
Applied Artificial Intelligence 36 (1), 2146853, 2022
Comparison of entropy and dictionary based text compression in English, German, French, Italian, Czech, Hungarian, Finnish, and Croatian
M Ignatoski, J Lerga, L Stanković, M Daković
Mathematics 8 (7), 1059, 2020
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