Laboratorij za primjenu informacijskih tehnologija

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Projekti u tijeku

  • Implementacija vremensko-frekvencijskih i drugih naprednih algoritama u analizi biomedicinskih signala

Popis radova

Poglavlja u knjigama:

  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.

Znanstveni radovi u inozemnim časopisima indeksiranim u 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, faktor odjeka 1.203 (medijan 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, faktor odjeka 1.173 (medijan 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, faktor odjeka 0.811 (medijan 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, faktor odjeka 1.627 (medijan 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, faktor odjeka 1.918 (medijan 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, faktor odjeka 0.714 (medijan 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, faktor odjeka 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, faktor odjeka 0.872 (medijan 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, faktor odjeka 1.521 (medijan 1.344/1.467/1.522/1.812)

Znanstveni radovi u drugim časopisima:

  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.

Znanstveni radovi na međunarodnim skupovima:

  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.
Voditelj doc. dr. sc. Jonatan Lerga person.image.file.alt
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Novosti

  • Published
    Travanj 2017
    • Published
      10. travnja 2017.

      Paper in "Circuits, Systems, and Signal Processing"

      New paper entitled "A Fast Signal Denoising Algorithm Based on the LPA-ICI Method for Real-Time Applications" authored by I. Volaric, J. Lerga and V. Sučić published in Current Contents indexed journal "Circuits, Systems, and Signal Processing".
  • Published
    Siječanj 2017
    • Published
      9. siječnja 2017.

      Project "Implementation of time-frequency and other advanced algorithms for biomedical signal analysis" approved by the UniRi

      Funding of the project entitled "Implementation of time-frequency and other advanced algorithms for biomedical signal analysis" approved by the University of Rijeka.
  • Published
    Prosinac 2016
    • Published
      20. prosinca 2016.

      Paper in "Computers In Biology And Medicine"

      New paper entitled "Algorithm Based On the Short-Term Rényi Entropy And IF Estimation For Noisy EEG Signals Analysis" authored by J. Lerga, N. Saulig and V. Mozetič published in Current Contents indexed journal "Computers In Biology And Medicine".