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Jonatan Lerga
Jonatan Lerga
University of Rijeka, Faculty of Engineering & Center for Artificial Intelligence and Cybersecurity
Verified email at riteh.hr - Homepage
Title
Cited by
Cited by
Year
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
982009
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
962020
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
78*2011
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
662021
A signal denoising method based on the improved ICI rule
J Lerga, M Vrankić, V Sucic
Signal Processing Letters, IEEE 15, 601-604, 2008
622008
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
372019
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
362017
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, 1-18, 2020
292020
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
262014
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
232019
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
232018
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
212012
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
202022
Evaluating Yolov5, Yolov6, Yolov7, and Yolov8 in underwater environment: Is there real improvement?
B Gašparović, G Mauša, J Rukavina, J Lerga
2023 8th International Conference on Smart and Sustainable Technologies …, 2023
182023
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
172021
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
162009
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
132020
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), 18, 2020
132020
Automatic music transcription for traditional woodwind instruments sopele
A Skoki, S Ljubic, J Lerga, I Štajduhar
Pattern Recognition Letters 128, 340-347, 2019
132019
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
132017
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