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 | 99 | 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 | 96 | 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 | 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 | 67 | 2021 |
A signal denoising method based on the improved ICI rule J Lerga, M Vrankić, V Sucic Signal Processing Letters, IEEE 15, 601-604, 2008 | 62 | 2008 |
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 | 37 | 2019 |
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 | 36 | 2017 |
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 | 28 | 2020 |
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 | 26 | 2014 |
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 | 23 | 2019 |
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 | 23 | 2018 |
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 | 22 | 2022 |
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 | 21 | 2023 |
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 | 21 | 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 | 18 | 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 | 16 | 2009 |
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 | 13 | 2020 |
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 | 13 | 2020 |
Automatic music transcription for traditional woodwind instruments sopele A Skoki, S Ljubic, J Lerga, I Štajduhar Pattern Recognition Letters 128, 340-347, 2019 | 13 | 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 | 13 | 2017 |