Research team

• Asist. prof. Jonatan Lerga, PhD

• Assoc. prof. Ivan Štajduhar, PhD

• Ana Vranković, PhD student

• Denis Selimović, PhD student

• Luka Batistić, PhD student

• Guruprasad Madhale Jadav, PhD student

• Franko Hržić, PhD student

• Veljko Jardas, PhD student (part-time)

• Marinko Žagar, PhD student (part-time)

Projects

Ongoing projects

• International Cooperation in Computer Science, CEEPUS network (2018-ongoing)

• National Competence Centres in the Framework of EuroHPC (EUROCC), European Horizon 2020, (2020-2022)

• Hyperspectral Image Analysis Using Machine Learning and Adaptive Data-Driven Filtering, bilateral Croatian-Slovenian project (2020-2021)

• Decision support system for green and safe ship Routing, Croatian Science Foundation (2019-2023)

• Computer-aided digital analysis and classification of signals, University of Rijeka (2019-2022)

• Development of machine-learning-based techniques for illness and injury detection in medical images, University of Rijeka (2019-2022)

• A network for gravitational waves, geophysics and machine learning, CA COST Action CA17137 (2018-2022)

• Thorax motion supervision in radiotherapy using machine learning techniques, researcher, Croatian Ministry Of Science and Education, bilateral Croatian-Slovenian project (2018-2019)

Finished projects

• Implementation of time-frequency and other advanced algorithms for biomedical signal analysis, University of Rijeka (2017)

• RadiologyNet: Machine learning for knowledge transfer, University of Rijeka (2017)

Publications

Chapters in books

• Sucic, V.; Lerga, J.; Rankine, L.; Boashash, B.: Components Extraction from TFDs for Multicomponent Signals IF Estimation, B. Boashash, ed., Time-Frequency Signal Analysis and Processing: A Comprehensive Review, 2nd ed., Academic Press, 2015, ch. 10.6, pp. 566-573. In press.

Papers in journals indexed in Current Contents, Science Citation Index and Science Citation Index Expanded

• Ignatoski, M.; Lerga, J.; Stanković, Lj.; Daković, M.: Comparison of Entropy and Dictionary Based Text Compression in English, German, French, Italian, Czech, Hungarian, Finnish, and Croatian, Mathematics 2020, 8, 1059.
  Mathematics: Q3 (Scimago), Q1 (Thomson Reuters), impact factor 1.747

• Vranković, A.; Lerga, J.; Saulig, N.: A Novel Approach to Extracting Useful Information From Noisy TFDs Using 2D Local Entropy Measures, EURASIP Journal on Advances in Signal Processing, no. 18, 2020.
  EURASIP Journal on Advances in Signal Processing: Q2 (Scimago), Q3 (Thomson Reuters), impact factor 1.749

• Selimović, D.; Lerga, J.; Prpić-Oršić, J.; Kenji, S.: Improving the Performance of Dynamic Ship Positioning Systems: A Review of Filtering and Estimation Techniques, Journal of Marine Science and Engineering, vol. 8, no. 4, no. 234, 2020.
  Journal of Marine Science and Engineering: Q2 (Scimago), Q3 (Thomson Reuters), impact factor 1.732

• Kirinčić, V.; Lerga, J.; Saulig, N.; Franković, D.: Improved Power System State Estimator with Preprocessing Based on the Modified Intersection of Confidence Intervals, Sustainable Energy, Grids and Networks, vol. 21, no. 100323, 2020.
  Sustainable Energy, Grids and Networks: Q1 (Scimago), Q2 (Thomson Reuters), impact factor 3.182

• Madhale Jadav, G.; Lerga, J.; Stajduhar, I.: Adaptive Filtering and Analysis of EEG Signals in the Time-Frequency Domain Based on the Local Entropy, EURASIP Journal on Advances in Signal Processing, no. 7, 2020.
  EURASIP Journal on Advances in Signal Processing: Q2 (Scimago), Q3 (Thomson Reuters), impact factor 1.749

• Skoki, A.; Ljubic, S.; Lerga, J.; Štajduhar, I. Automatic Music Transcription for Traditional Woodwind Instruments Sopele, Pattern Recognition Letters, vol. 128; pp. 340 – 347, 2019.
  Pattern Recognition Letters: Q1 (Scimago), Q2 (Thomson Reuters), impact factor 2.810

• Saulig, N.; Lerga, J.; Milanovic, Ž.; Ioana, C.: Extraction of Useful Information Content From Noisy Signals Based on Structural Affinity of Clustered TFDs’ Coefficients, IEEE Transactions on Signal Processing, vol. 67, no. 12, pp. 3154-3167, 2019.

• IEEE Transactions on Signal Processing: Q1 (Scimago), Q1 (Thomson Reuters), impact factor 4.203

• Hržić, F.; Štajduhar, I.; Tschauner, S.; Sorantin, E., Lerga, J.: Local-Entropy Based Approach for X-Ray Image Segmentation and Fracture Detection, vol. 21, no. 4, pp. 338:1-18, 2019.
  Entropy: Q2 (Scimago), Q2 (Thomson Reuters), impact factor 2.305

• Kirinčić, V.; Čeperić, E.; Vlahinić, S.; Lerga, J.: Support Vector Machine State Estimation, Applied Artificial Intelligence, vol. , no. , pp. , 2019.
  Applied Artificial Intelligence: Q3 (Scimago), Q4 (Thomson Reuters), impact factor 0.587

• Lerga, J.; Mandić, I.; Peić, H.; Brščić, D.: An adaptive method based on the improved LPA-ICI algorithm for MRI enhancement, The Imaging Science Journal, vol. 66, no. 6, pp. 372-381, 2018.
  The Imaging Science Journal: Q2 (Scimago), Q4 (Thomson Reuters), impact factor 0.366

• Lerga, J.; Kirinčić, V.; Franković, D.; Štajduhar, I.: Adaptive State Estimator With Intersection of Confidence Intervals Based Preprocessing, International Journal of Electrical Power & Energy Systems, vol. 102, pp. 413-420, 2018.
  International Journal of Electrical Power & Energy Systems: Q1 (Scimago), Q1 (Thomson Reuters), impact factor 3.610

• Lerga, J.; Grbac, E.; Sucic, V.; Saulig, N.: Adaptive Methods for Video Denoising Based on the ICI, FICI, and RICI Algorithms, Tehnički vjesnik, vol. 25, no. suppl. 1, pp. 1-6, 2018. 
  Tehnički vjesnik: Q2 (Scimago), Q4 (Thomson Reuters), impact factor 0.686

• Štajduhar, I.; Tomić, M.; Lerga, J.: Mirroring quasi-symmetric organ observations for reducing problem complexity, Expert Systems with Applications, vol. 85, pp. 318–334, 2017.
  Expert Systems with Applications: Q1 (Scimago), Q1 (Thomson Reuters), impact factor 3.768

• Volaric, I.; Lerga, J.; Sucic, V.: A Fast Signal Denoising Algorithm Based on the LPA-ICI Method for Real-Time Applications, Circuits, Systems, and Signal Processing, vol. 36, pp. 4653-4669, 2017.
  Circuits, Systems, and Signal Processing: Q2 (Scimago), Q2 (Thomson Reuters), impact factor 1.998

• Lerga, J.; Saulig, N.; Mozetič, V.: Algorithm Based On the Short-Term Rényi Entropy And IF Estimation For Noisy EEG Signals Analysis, Computers In Biology And Medicine, vol. 80, pp. 1-13, 2017.
  Computers In Biology And Medicine: Q2 (Scimago), Q2 (Thomson Reuters), impact factor 2.115

• Šegon, G.; Lerga, J.; Sucic, V.: Improved LPA-ICI-Based Estimators Embedded in a Signal Denoising Virtual Instrument, Signal, Image and Video Processing, vol. 11, no. 2, pp. 211-217, 2017.
  Signal, Image and Video Processing: Q2 (Scimago), Q3 (Thomson Reuters), impact factor 1.643

• Lerga, J.; Grbac E.; Sucic, V.: An ICI Based Algorithm for Fast Denoising of Video Signals, Automatika, vol. 55, no. 3, pp. 351-358, 2014. 
  Automatika: Q3 (Scimago), Q4 (Thomson Reuters), impact factor 0.307

• Sucic, V.; Lerga, J.; Boashash, B.: Multicomponent Noisy Signal Adaptive Instantaneous Frequency Estimation Using Components Time Support Information, IET Signal Processing, vol. 8, no. 3, pp. 277-284, 2014.
  IET Signal Processing: Q2 (Scimago), Q3 (Thomson Reuters), impact factor 1.495

• Sucic, V.; Lerga, J.; Vrankic, M.: Adaptive Filter Support Selection for Signal Denoising Based on the Improved ICI Rule, Digital Signal Processing, vol. 23, no. 1, pp. 65-74, 2013. 
  Digital Signal Processing: Q1 (Scimago), Q2 (Thomson Reuters), impact factor 1.495

• Lerga, J.; Sucic, V.; Vrankić, M.: Separable Image Denoising Based on the Relative Intersection of Confidence Intervals Rule, Informatica, vol. 22, no. 3, pp. 383-394, 2011.
  Informatica: Q2 (Scimago), Q1 (Thomson Reuters), impact factor 1.627

• Lerga J.; Sucic, V.; Boashash, B.: An Efficient Algorithm for Instantaneous Frequency Estimation of Nonstationary Multicomponent Signals in Low SNR, EURASIP Journal on Advances in Signal Processing, vol. 2011, pp. 1-16, 2011. 
  EURASIP Journal on Advances in Signal Processing: Q2 (Scimago), Q3 (Thomson Reuters), impact factor 0.811

• Lerga, J.; Sucic, V.: Nonlinear IF Estimation Based on the Pseudo WVD Adapted Using the Improved Sliding Pairwise ICI Rule, IEEE Signal Processing Letters, vol. 16, no. 11, pp. 953-956, 2009.
  IEEE Signal Processing Letters: Q1 (Scimago), Q2 (Thomson Reuters), impact factor 1.173

• Lerga, J.; Vrankic, M.; Sucic, V.: A Signal Denoising Method Based on the Improved ICI Rule, IEEE Signal Processing Letters, vol. 15, pp. 601-604, 2008.
  IEEE Signal Processing Letters: Q1 (Scimago), Q2 (Thomson Reuters), impact factor 1.203

Papers in other journals

• Skoki, A.; Ljubic, S.; Lerga, J.; Štajduhar, I.: Sopele Music Dataset, Data In Brief, vol. 28, 2020, no. 104840.
  Data In Brief: WoS CC

• Mandić, I.; Peić, H.; Lerga, J.; Štajduhar, I.: Denoising of X-ray Images Using the Adaptive Algorithm Based on the LPA-RICI Algorithm, Journal of Imaging, vol. 4, no. 2, pps. 15, 2018.

• Journal of Imaging: WoS CC

• Bujak M; Ratkaj I.; Markova-Car E.; Jurisic D.; Horvatic A.; Vucinic S.; Lerga J.; Baus Loncar M.; Pavelic K.; Kraljevic Pavelic S.: Inflammatory Gene Expression Upon TGF-b1-Induced p38 Activationin Primary Dupuytren’s Disease Fibroblasts, Frontiers in Molecular Biosciences, vol. 2; pp. 1-9, 2015.

• Lerga, J.; Franusic, M.; Sucic, V.: Parameters Analysis for the Time-Varying Automatically Adjusted LPA Based Estimators, Journal of Automation and Control Engineering, vol. 2, no. 3; pp. 203-208, 2014.

• Lerga, J.; Sucic, V.; Grbac, E.: An Adaptive Method for Video Denoising Based on the ICI Rule, Engineering Review, vol. 32, no. 1; pp. 33-40, 2012.

International conference papers

• Daković, M.; Ponjavić, M.; Stanković, I.; Lerga, J.; Ioana, C.: Time‐Frequency Analysis of Ionospheric Whistler Signals, 27th Tеlеcommunicаtions Forum, TЕLFOR 2019, Beograd, Serbia, November 2019, pp. 1-4.

• Saulig, N.; Lerga, J.; Baracskai, Z.; Daković, M.: Adaptive Thresholding in Extracting Useful Information from Noisy Time-Frequency Distributions, 11th International Symposium on Image and Signal Processing and Analysis, ISPA2019, Dubrovnik, Croatia, September 2019, pp. 329-334. 

• Lerga, J.; Prpić-Oršić, J.: Introduction to Time-Frequency Analysis of Signals in Ship Guidance, Navigation and Control, 13th International Conference on Advanced Computational Engineering and Experimenting, ACEX2019, Athens, Greece, July 2019, pp. 21. 

• Lerga, J.; Saulig, N.; Žuškin, M.; Panjkota, A.: Denoising Accuracy of Adaptive ICI-Based Estimators With Regards to Sampling Rate, 4th International Conference on Smart and Sustainable Technologies (SpliTech), Split, Croatia, June 2019, pp. 1-6.

• Babić Grbac, S.; Galinac Grbac, T.; Lerga, J.: Community Structure of a Complex Software-System in Evolution, 41st International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2018, Opatija, Croatia, May 2018, pp. 1467-1471.

• Lerga, J.; Saulig, N.; Lerga, R.; Štajduhar, I.: TFD Thresholding In Estimating The Number of EEG Components And The Dominant IF Using The Short-Term Rényi Entropy, 10th International Symposium on Image and Signal Processing and Analysis - ISPA 2017, Ljubljana, Slovenia, September 2017, pp. 80-85.

• Saulig, N.; Milanović, Ž.; Lerga, J.; Griparić, K.: On the Selection of the Proper Number of Classes in TFD Segmentation for Extraction of Useful Information Content from Noisy Signals, 3rd International Conference on Smart and Sustainable Technologies, Splitech 2018, Split, Croatia, June 2018, pp. 1-5.

• Lerga, J.; Saulig, N.:, Mozetič, V.; Lerga, R.: Number of EEG Signal Components Estimated Using the Short-Term Renyi Entropy, 1st International Multidisciplinary Conference on Computer and Energy Science, SpliTech 2016, Split, Croatia, July 2016, pp. 1-6.

• Rešetar, D.; Marchetti-Deschmann, M.; Allmaier, G.; Lerga, J.; Peter Katalinić, J.; Kraljević Pavelić, S.: Direct MALDI-TOF Wine Fingerprinting Protocol for Assesment of White Wine Authenticity, 8th International Congress of Food Technologists, Biotechnologists and Nutritionists, Opatija, Croatia, October 2014, pp. 181-181.

• Rešetar, D.; Marchetti-Deschmann, M.; Allmaier, G.; Lerga, J.; Peter Katalinić, J.; Kraljević Pavelić, S.: Direct MALDI-TOF Wine Fingerprinting Protocol for Assesment of White Wine Authenticity, 8th Summer Course for Mass Spectrometry in Biotechnology and Medicine, Dubrovnik, Croatia, July 2014.

• Volarić, I.; Lerga, J.; Sucic, V.; Orovic, I.; Stankovic S.: Modification of the ICI Rule Applied to Signal Denoising, International Conference on Innovative Technologies (IN-TECH 2012), Rijeka, Croatia, September 2012, pp. 97-101.

• Rubeša, G.; Antulov, R.; Ruzic Barsic, A.; Lerga, J.; Miletic, D.: The Relationship Between Gray Matter Changes in Schizophrenia Patients and the Number of Psychotic Episodes, 19th European Congress of Psychiatry, Vienna, Austria, March 2011, pp. 952-952.

• Grbac, E.; Lerga, J.; Sucic, V.: Video Denoising Using the ICI Method, International Conference on Innovative Technologies (IN-TECH 2011), Bratislava, Slovakia, September 2011, pp. 182-186.

• Lerga, J.; Sucic; V.; Boashash, B.: An Improved Method for Nonstationary Signals Components Extraction Based on the ICI Rule, 7th International Workshop on Systems, Signal Processing and their Applications (WoSSPA 2011), Tipaza, Algeria, May 2011, pp. 307-310.

• Ruzic Barsic, A.; Antulov, R.; Lerga, J.; Rubesa, G.; Miletic, D.: Gray Matter Changes In Patients With Schizophrenia: A Voxel-Based Morphometry Study, V Congress of Croatian Society of Radiology with International Participations, Opatija, Croatia, October 2010, pp. 58-58.

• Lerga, J.; Sucic, V.: An instantaneous frequency estimation method based on the improved sliding pair-wise ICI rule, 10th International Conference on Information Sciences Signal Processing and their Applications (ISSPA 2010), Kuala Lumpur, Malaysia, May 2010, pp. 161-164.

• Saulig, N.; Sucic, V.; Lerga, J.: The Wigner-Ville Distribution Masking Method for an Interference Free Signal Time-Frequency Representation, International Conference on Innovative Technologies (IN-TECH 2010), Prag, Czech Republic, September 2010, pp. 495-498.

• Lerga, J.; Sucic, V.:, Sersic D.: Image Denoising Based on the One-Dimensional LPA-RICI Method, 51st International Symposium ELMAR-2009, Zadar, Croatia, September 2009, pp. 57-60.

• Lerga, J.; Sucic, V.:, Sersic D.: Performance Analysis of the LPA-RICI Denoising Method, 6th International Symposium on Image and Signal Processing and Analysis (ISPA 2009), Salzburg, Austria, September 2009, pp. 28-33.

Awards

• 2019: Certificate of Appreciation for accomplishments in 2019 (from University of Rijeka)

• 2019: ICT Conference Grant from European Cooperation in Science and Technology in 2019

• 2018: Annual award from Foundation of the University of Rijeka in 2018 (engineering and bioengineering sciences)

• 2018: Annual award from Primorje-Gorski Kotar County in 2018

• 2018: Certificate of Appreciation for accomplishments in 2018 (from University of Rijeka)

• 2015: Certificate of Appreciation for accomplishments in 2015 (from University of Rijeka)

• 2015: Annual award from City of Rijeka in 2015

• 2013: Certificate of Appreciation for accomplishments in 2013 (from University of Rijeka)

• 2012: Award from Croatian academy of engineering “Vera Johanides” in 2012 (young scientists)

• 2011: Certificate of Appreciation for accomplishments in 2011 (from University of Rijeka)

• 2010: Annual award from Foundation of the University of Rijeka in 2009/2010 (engineering and natural sciences)

• 2009: Certificate of Appreciation for achievements and accomplishments in 2009 (from University of Rijeka)

• 2008: Annual award from Foundation of the University of Rijeka in 2007/2008 (engineering and biotechnology)

Teaching

• Information Theory and Coding

• Information Theory with Applications

• Digital Image Processing

• Computer Software in Engineering

• Digital Logics

• Applied Computing

Equipment

Matlab code

• Matlab code for the paper "Extraction of Useful Information Content From Noisy Signals Based on Structural Affinity of Clustered TFDs’ Coefficients"