Laboratory for Application of Information Technologies

Croatian

Ongoing projects

  • Implementation of time-frequency and other advanced algorithms for biomedical signal analysis

Publications

Chapters in books:

  1. 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:

  1. 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, impact factor 1.203 (median 1.055)
  2. 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, impact factor 1.173 (median 0.980)
  3. 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/Q3, impact factor 0.811 (median 1.020)
  4. 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: Q3, impact factor 1.627 (median 0.898/0.724)
  5. Sucic, V.; Lerga, J.; Vrankic, M.: Adaptive Filter Support Selection for Signal Denoising Based on the Improved ICI Rule, Digital Signal Processing, vol. 2012, 2012.
    Digital Signal Processing: Q2, impact factor 1.918 (median 1.103)
  6. 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/Q3, impact factor 0.714 (median 1.103)
  7. 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/Q4, impact factor 0.311 (medijan 1.227/1.417)
  8. Šegon, G.; Lerga, J.; Sucic, V.: Improved LPA-ICI-Based Estimators Embedded in a Signal Denoising Virtual Instrument, Signal, Image and Video Processing, vol. 2016, pp. 1-8, 2016.
    Signal, Image and Video Processing: Q2/Q3, impact factor 0.872 (median 1.277/1.334)
  9. 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/Q2, impact factor 1.521 (median 1.344/1.467/1.522/1.812)
  10. 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, pp. 1-17, 2017.
    Circuits, Systems, and Signal Processing: Q3, impact factor 1.178 (JIF percentile 46.109)

Papers in other journals:

  1. 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.
  2. 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.
  3. 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.

International conference papers:

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
Head Assist. Prof. Jonatan Lerga person.image.file.alt
Telephone
+385 51 651583, int. 2583 (Office)
Location
1-51

News

  • Published
    12. June 2017.

    Paper in " Expert Systems with Applications"

    New paper entitled "Mirroring Quasi-Symmetric Organ Observations For Reducing Problem Complexity" authored by I. Štajduhar, M. Tomić and J. Lerga published in Current Contents indexed journal "Expert Systems with Applications".