Miloš Daković - Publications

Curriculum Vitae Personal page
58
11 int. journal pub.
15 other pub.
2017
26
5 int. journal pub.
12 other pub.
2016
17
8 int. journal pub.
8 other pub.
2015
16
5 int. journal pub.
3 other pub.
2014
8
2 int. journal pub.
7 other pub.
2013
9
0 int. journal pub.
4 other pub.
2012
4
0 int. journal pub.
3 other pub.
2011
3

Books

  1. LJ. Stanković, M. Daković, and T. Thayaparan, Time-Frequency Signal Analysis. Kindle edition, Amazon, May 7, 2014
  2. LJ. Stanković, M. Daković, and T. Thayaparan, Time-Frequency Signal Analysis with Applications. Artech House, Boston, March 2013
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Leading International Journals and Book Chapters

  1. I. Stanković, C. Ioana, and M. Daković, “On the reconstruction of nonsparse time-frequency signals with sparsity constraint from a reduced set of samples,” Signal Processing, vol. 142, January 2018, pp. 480-484, DOI: http://dx.doi.org/10.1016/j.sigpro.2017.07.036
  2. LJ. Stanković, D. Mandic, M. Daković, and M. Brajović, “Time-frequency decomposition of multivariate multicomponent signals,” Signal Processing, , in print, http://dx.doi.org/10.1016/j.sigpro.2017.08.001, 2017.
  3. LJ. Stanković, E. Sejdić, and M. Daković, “Vertex-Frequency Energy Distributions,” IEEE Signal Processing Letters, accepted, 2017.
  4. LJ. Stanković, M. Daković, I. Stanković, and S. Vujović, “On the Errors in Randomly Sampled Nonsparse Signals Reconstructed with a Sparsity Assumption ,” IEEE Geoscience and Remote Sensing Letters, in print, 2017.
  5. M. Brajović, I. Orović, M. Daković, and S. Stanković, “Compressive Sensing of Sparse Signals in the Hermite Transform Basis,” IEEE Transactions on Aerospace and Electronic Systems, accepted for publication
  6. R. Vojinović, and M. Daković, “Optimization of adaptive three-mode GBN scheme control parameters,” Radioengineering, Vol. 26, No. 2, September 2017.
  7. LJ. Stanković, M. Daković, and I. Stanković, “Compressive Sensing Methods for Reconstruction of Big Sparse Signals,” in “Biomedical Signal Processing in Big Data”, E. Sejdic ed., CRC Press, 2017.
  8. LJ. Stanković, M. Daković, and E. Sejdić, “Vertex-Frequency Analysis: A Way to Localize Graph Spectral Components,” IEEE Signal Processing Magazine, Vol.34, No. 4, July 2017, pp. 176-182
  9. I. Stanković, I. Orović, M. Daković, and S. Stanković, “Denoising of Sparse Images in Impulsive Disturbance Environment,” Multimedia Tools and Applications, https://doi.org/10.1007/s11042-017-4502-7, 2017.
  10. LJ. Stanković, M. Daković, S. Stanković, and I. Orović, “Sparse Signal Reconstruction - Introduction ,” Wiley Encyclopedia of Electrical and Electronics Engineering, John Wiley & Sons, May 2017, DOI: 10.1002/047134608X.W8350
  11. B. Lutovac, M. Daković, S. Stanković, and I. Orović, “Watermark Detection in Impulsive Noise Environment Based on the Compressive Sensing Reconstruction,” Radioengineering, vol. 26, no. 1, pp. 309-315, DOI: 10.13164/re.2017.0309, ISSN: 1805-9600
  12. M. Brajović, I. Orović, M. Daković, and S. Stanković, “On the Parameterization of Hermite Transform with Application to the Compression of QRS Complexes,” Signal Processing, in print, vol. 131, pp. 113-119, February 2017.
  13. LJ. Stanković, M. Daković, and S. Vujović, “Reconstruction of Sparse Signals in Impulsive Disturbance Environments,” Circuits, Systems and Signal Processing, vol. 2016. pp. 1-28, DOI: 10.1007/s00034-016-0334-3, ISSN: 0278-081X print, 1531-5878 online
  14. LJ. Stanković, and M. Daković, “On a Gradient-Based Algorithm for Sparse Signal Reconstruction in the Signal/Measurements Domain,” Mathematical Problems in Engineering, vol. 2016, Article ID 6212674, 11 pages, 2016. doi:10.1155/2016/6212674.
  15. LJ. Stanković, I. Stanković, and M. Daković, “Nonsparsity Influence on the ISAR Recovery from Reduced Data,” IEEE Transactions on Aerospace and Electronic Systems, Vol. 52, Issue: 6, Dec. 2016, pp. 3065 - 3070, DOI: 10.1109/TAES.2016.160312
  16. M. Brajović, I. Orović, M. Daković, and S. Stanković, “Gradient-based signal reconstruction algorithm in the Hermite transform domain,” Electronics Letters, Volume 52, Issue 1, pp.41-43, 2016
  17. B. Lutovac, M. Daković, S. Stanković, and I. Orović, “An Algorithm for Robust Image Watermarking based on the DCT and Zernike Moments,” Multimedia Tools and Applications, 2016, doi: 10.1007/s11042-016-4127-2
  18. LJ. Stanković, S. Stanković, T. Thayaparan, M. Daković, and I. Orović, “Separation and Reconstruction of the Rigid Body and Micro-Doppler Signal in ISAR Part I – Theory,” IET Radar, Sonar & Navigation, vol.9, no.9, pp.1147-1154, 2015 doi: 10.1049/iet-rsn.2015.0096
  19. LJ. Stanković, S. Stanković, T. Thayaparan, M. Daković, and I. Orović, “Separation and Reconstruction of the Rigid Body and Micro-Doppler Signal in ISAR Part II – Statistical Analaysis,” IET Radar, Sonar & Navigation, vol.9, no.9, pp.1155-1161, 2015 doi: 10.1049/iet-rsn.2015.0137
  20. LJ. Stanković, and M. Daković, “On the Uniqueness of the Sparse Signals Reconstruction Based on the Missing Samples Variation Analysis,” Mathematical Problems in Engineering, vol. 2015, Article ID 629759, 14 pages, 2015. doi:10.1155/2015/629759
  21. LJ. Stanković, M. Daković, S. Stanković, and I. Orović, “Sparse Signal Processing,” in the Book: Digital Signal Processing, L. Stankovic, CreateSpace, Amazon, 2015, pp 665-810
  22. LJ. Stanković, and M. Daković, “Adaptive Systems,” Chapter in the Book: Digital Signal Processing, L. Stankovic, CreateSpace, Amazon, 2015, pp. 423-520
  23. LJ. Stanković, M. Daković, and T. Thayaparan, “Time-Frequency Analysis,” Chapter in the Book: Digital Signal Processing, L. Stankovic, CreateSpace, Amazon, 2015, pp. 521-664
  24. S.Vujošević, S. Mujović, and M. Daković, “Analysis of Real Overvoltage Disturbances by Using Nonstationary Signal Processing Techniques,” Advances in Electrical and Computer Engineering, vol.15, no.3, pp.23-32, 2015, doi:10.4316/AECE.2015.03004
  25. LJ. Stanković, M. Daković, T. Thayaparan, and V. Popović-Bugarin, “Inverse Radon Transform Based Micro-Doppler Analysis from a Reduced Set of Observations,” IEEE Transactions on Aerospace and Electronic Systems, Vol. 51, No. 2, pp.1155-1169, April 2015
  26. LJ. Stanković, I. Djurović, S. Stanković, M. Simeunović, S. Djukanović, and M. Daković, “Instantaneous frequency in time–frequency analysis: Enhanced concepts and performance of estimation algorithms,” Digital Signal Processing, vol. 35, December 2014, pp. 1-13.
  27. LJ. Stanković, M. Daković, T. Thayaparan, and V. Popović-Bugarin, “Signal Decomposition of Micro-Doppler Signatures,” Radar Micro-Doppler Signatures: Processing and Applications, Ed. V. C. Chen, D. Tahmoush, and W. J. Miceli, IET, pp.273-327, 2014.
  28. LJ. Stanković, S. Stanković, and M. Daković, “From the STFT to the Wigner distribution,” IEEE Signal Processing Magazine, Vol. 31, No. 3, May 2014, pp. 163-174 (supplementary material www.tfsa.ac.me/LN)
  29. LJ. Stanković, M. Daković, and S. Vujović, “Adaptive Variable Step Algorithm for Missing Samples Recovery in Sparse Signals,” IET Signal Processing, vol. 8, no. 3, pp. 246 -256, 2014. (arXiv:1309.5749v1).
  30. LJ. Stanković, M. Daković, and T. Thayaparan, “Non-stationary Signal Analysis: Time-Frequency Approach,” in Academic Press Library in Signal Processing, Elsevier-Oxford Press, Vol.3, 2014, pp. 27-142
  31. LJ. Stanković, M. Daković, and T. Thayaparan, “A Real-Time Time-Frequency Based Instantaneous Frequency Estimator,” Signal Processing, Volume 93, Issue 5, May 2013, pp.1392-1397
  32. LJ. Stanković, M. Daković, T. Thayaparan, and V. Popović-Bugarin, “Micro-Doppler Removal in the Radar Imaging Analysis,” IEEE Transactions on Aerospace and Electronic Systems, Vol. 49, No. 2, April 2013, pp.1234-1250
  33. S. Djukanović, V. Popović-Bugarin, M. Daković, and LJ. Stanković, “A parametric method for non-stationary interference suppression in direct sequence spread-spectrum systems,” Signal Processing, Vol. 91, No. 6, pp. 1425-1431, June 2011
  34. M. Daković, T. Thayaparan, and LJ. Stanković, “Time-frequency based detection of fast manoeuvring targets,” IET Signal Processing, Vol. 4, No. 3, June 2010, pp. 287-297
  35. T. Thayaparan, LJ. Stanković, M. Daković, and V. Popović-Bugarin, “Micro-Doppler parameter estimation from a fraction of the period,” IET Signal Processing, vol. 4, no. 3, pp. 201-212, June 2010. doi: 10.1049/iet-spr.2009.0093, ISSN: 1751-9675
  36. V. Popović-Bugarin, I. Djurović, LJ. Stanković, T. Thayaparan, and M. Daković, “Autofocusing of SAR images based on parameters estimated from the PHAF,” Signal Processing, Vol. 90, No. 5, May 2010, Pages 1382-1391
  37. S. Djukanović, M. Daković, T. Thayaparan, and LJ. Stanković, “Method for Nonstationary Jammer Suppression in Noise Radar Systems,” IET Signal Processing, Vol. 4, No. 3, June 2010, Page(s) 305-313
  38. I. Djurović, LJ. Stanković, V. Popović-Bugarin, M. Daković, and T. Thayaparan, “Time-frequency analysis for SAR and ISAR imaging,” in GeoSpatial Visual Analytics, Springer 2009, ISBN 978-90-481-2898-3, pp. 113-127
  39. S. Djukanović, M. Daković, and LJ. Stanković, “Bit error probability approximation for short-time Fourier transform based nonstationary interference excision in DS-SS systems,” Signal Processing, Vol. 89, No. 11, Nov. 2009, pp. 2178-2184
  40. T. Thayaparan, M. Daković, and LJ. Stanković, “Mutual interference and low probability of interception capabilities of noise radar,” IET Radar, Sonar & Navigation, Vol. 2, No. 4, Aug. 2008, pp. 294-305
  41. M. Daković, T. Thayaparan, S. Djukanović, and LJ. Stanković, “Time-frequency-based non-stationary interference suppression for noise radar systems,” IET Radar, Sonar & Navigation, Vol. 2, No. 4, Aug. 2008, pp. 306-314
  42. T. Thayaparan, LJ. Stanković, C. Wernik, and M. Daković, “Real-time motion compensation, image formation and image enhancement of moving targets in ISAR and SAR using S-method based approach,” IET Signal Processing, Vol. 2, No. 3, Aug. 2008, pp. 247-264
  43. S. Djukanović, M. Daković, and LJ. Stanković, “Local Polynomial Fourier Transform Receiver for Nonstationary Interference Excision in DSSS Communications,” IEEE Transactions on Signal Processing, Vol. 56, No. 4, Apr. 2008, pp. 1627-1636
  44. E. Sejdić, LJ. Stanković, M. Daković, and J. Jiang, “Instantaneous Frequency Estimation Using the S-Transform,” IEEE Signal Processing Letters, Vol. 15, No. 2, Feb. 2008, pp. 309-312
  45. LJ. Stanković, T. Thayaparan, V. Popović-Bugarin, I. Djurović, and M. Daković, “Adaptive S-Method for SAR/ISAR Imaging,” EURASIP Journal on Advances in Signal Processing, Vol. 2008, No. Jan. 2008, Page(s) 10 pages
  46. LJ. Stanković, T. Thayaparan, and M. Daković, “Signal Decomposition by Using the S-Method with Application to the Analysis of HF Radar Signals in Sea-Clutter,” IEEE Transactions on Signal Processing, Vol.54, No.11, Nov. 2006, pp.4332- 4342
  47. V. Rubežić, I. Djurović, and M. Daković, “Time-frequency representations based detector of chaos in oscillatory circuits,” Signal Processing, Vol.86, No.9, Sep. 2006, pp.2255-2270
  48. V. N. Ivanović, M. Daković, and LJ. Stanković, “Performance of Quadratic Time-Frequency Distributions as Instantaneous Frequency Estimators,” IEEE Transactions on Signal Processing, Vol. 51, No. 1, Jan. 2003, pp.77-89
  49. LJ. Stanković, M. Daković, and V. N. Ivanović, “Performance of spectrogram as IF estimator,” Electronics Letters, Vol.37, No.12, June 2001, pp.797-799.
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Other International, Regional, and National Journals

  1. M. Brajović, LJ. Stanković, and M. Daković, “Reconstruction of non-stationary signals with missing samples using S-method and a gradient-based reconstruction algorithm,” ETF Journal of Electrical Engineering, Vol. 21, No. 1, 2015.
  2. S. Djukanović, M. Daković, and LJ. Stanković, “Metode za uklanjanje nestacionarnih ometača kod šumnih radara,” ETF Journal of Electrical Engineering, Elektrotehnicki fakultet Podgorica, Crna Gora, Novembar 2011.
  3. V. N. Ivanović, M. Daković, and LJ. Stanković, “The exact estimation error analysis in the instantaneous frequency estimation by using quadratic time-frequency distributions,” ETF Journal of Electrical Engineering, Vol.9-10, No.1, Oct.2001, pp.30-43.
  4. V. N. Ivanović, M. Daković, and LJ. Stanković, “Analysis of the instantaneous frequency estimation with reduced interference distributions,” ETF Journal of Electrical Engineering, Vol.8, No.1, Nov.1999, pp.20-35.
  5. O. Laković, N. Jauković, B. Lutovac, and M. Daković, “Prilog prepoznavanju tonaliteta primjenom neuralnih mreža,” Info Science, No.6, 1997.
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National Books

  1. LJ. Stanković, M. Daković, and T. Thayaparan, Time-Frequency Signal Analysis. e-book, 2013,
  2. LJ. Stanković, S. Stanković, I. Djurović, and M. Daković, Time-frequency signal analysis. Research monograph, Faculty of Electrical Engineering, Podgorica, Nov. 2011
  3. I. Orović, N. Žarić, M. Daković, and S. Stanković, Basics of Informatics and Information Systems 1. textbook (in Montenegrin), Faculty for Tourism and Hotel Management, Second edition, Sept. 2010.
  4. S. Stanković, I. Orović, N. Žarić, and M. Daković, Basics of informatics and information systems 1. textbook (in Montenegrin), Faculty for Tourism and Hotel Management, 2008.
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International Conferences

  1. I. Stanković, C. Ioana, and M. Daković, “High-Resolution Local Polynomial Fourier Transform in Acoustic Signal Analysis,” 59th International Symposium ELMAR 2017, September 18-20, Zadar, Croatia
  2. I. Stanković, C. Ioana, and M. Daković, “Model-based decomposition of acoustic signals in dispersive environment,” 26th Symposium GRETSI 2017, September 5-8, Juan-les-Pins, France
  3. LJ. Stanković, M. Brajović, M. Daković, and D. Mandic, “Two-component Bivariate Signal Decomposition Based on Time-Frequency Analysis,” 22nd International Conference on Digital Signal Processing IEEE DSP 2017, August 23-25, London, United Kingdom
  4. M. Daković, LJ. Stanković, and E. Sejdić, “Windowing Methods for Graph Signal Localization,” 22nd International Conference on Digital Signal Processing IEEE DSP 2017, August 23-25, London, United Kingdom
  5. I. Stanković, M. Daković, and C. Ioana, “Time-Frequency Signal Reconstruction of Nonsparse Audio Signals,” 22nd International Conference on Digital Signal Processing IEEE DSP 2017, August 23-25, London, United Kingdom
  6. M. Brajović, I. Orović, M. Daković, and S. Stanković, “The Reconstruction of 2D Sparse Signals by Exploiting Transform Coefficients Variances,” 17th IEEE International Conference on Smart Technologies, IEEE EUROCON 2017
  7. S. Stanković, S. Vujović, I. Orović, M. Daković, and LJ. Stanković, “Combination of Gradient Based and Single Iteration Reconstruction Algorithms for Sparse Signals,” 17th IEEE International Conference on Smart Technologies, IEEE EUROCON 2017
  8. M. Daković, LJ. Stanković, B. Lutovac, and I. Stanković, “On the Fixed-point Rounding in the DFT,” 17th IEEE International Conference on Smart Technologies, IEEE EUROCON 2017
  9. M. Daković, LJ. Stanković, B. Lutovac, E. Sejdić, and T. B. Šekara, “A Resistive Circuits Analysis Using Graph Spectral Decomposition,” 6th Mediterranean Conference on Embedded Computing, MECO 2017, Bar, June 2017
  10. M. Č. Bošković, T. B. Šekara, B. Lutovac, M. Daković, P. D. Mandić, and M. P. Lazarević, “Analysis of electrical circuits including fractional order elements,” 6th Mediterranean Conference on Embedded Computing MECO 2017, Bar, Montenegro, June 2017
  11. I. Stanković, M. Daković, and C. Ioana, “Decomposition of Signals in Dispersive Channels using Dual Polynomial Fourier Transform,” 6th Mediterranean Conference on Embedded Computing MECO, Bar, Montenegro, June 2017
  12. M. Daković, I. Stanković, M. Brajović, and LJ. Stanković, “Sparse Signal Reconstruction Based on Random Search Procedure,” 40th International Convention on Information and Communication Technology, Electronics and Microelectronics MIPRO, Opatija, Croatia, May 2017
  13. I. Stanković, M. Daković, and I. Orović, “Overlapping Blocks in Reconstruction of Sparse Images,” 40th International Convention on Information and Communication Technology, Electronics and Microelectronics MIPRO, Opatija, Croatia, May 2017
  14. M. Daković, T. Ružić, T. Rogač, M. Brajović, and B. Lutovac, “Neural Networks Application to Neretva Basin Hydro-meteorological Data,” 13th Symposium on Neural Networks and Applications NEUREL 2016, November 2016, Belgrade, Serbia
  15. M. Daković, I. Stanković, J. Ender, and LJ. Stanković, “Sample Selection Strategy in DFT based Compressive Sensing,” 24th Telecommunications Forum TELFOR 2016, Belgrade, Nov 22-23, 2016
  16. M. Brajović, B. Lutovac, I. Orović, M. Daković, and S. Stanković, “Sparse Signal Recovery Based on Concentration Measures and Genetic Algorithm,” 13th Symposium on Neural Networks and Applications NEUREL 2016, Belgrade, Serbia, November 2016
  17. LJ. Stanković, I. Stanković, and M. Daković, “Analysis of Noise and Nonsparsity in the ISAR Image Recovery from a Reduced Set of Data,” 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa) 2016, 19-22 September, Aachen, Germany, 2016.
  18. M. Daković, LJ. Stanković, and S. Stanković, “A Procedure for Optimal Pulse Selection Strategy in Radar Imaging Systems,” 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa), 19-22 September, Aachen, Germany, 2016. pp. 34-37
  19. M. Brajović, I. Orović, M. Daković, and S. Stanković, “Representation of Uniformly Sampled Signals in the Hermite Transform Domain,” 58th International Symposium ELMAR-2016, Zadar, Croatia, September 2016.
  20. M. Brajović, I. Orović, M. Daković, and S. Stanković, “Compressive Sensing of Signals Sparse in 2D Hermite Transform Domain,” 58th International Symposium ELMAR-2016, Zadar, Croatia, September 2016
  21. S. Vujović, I. Stanković, M. Daković, and LJ. Stanković, “Comparison of a Gradient-Based and LASSO (ISTA) Algorithm for Sparse Signal Reconstruction,” 5th Mediterranean Conference on Embedded Computing MECO 2016, Bar, June 2016
  22. M. Brajović, M. Daković, and LJ. Stanković, “Convexity of the l1-norm based Sparsity Measure with Respect to the Missing Samples as Variables,” 5th Mediterranean Conference on Embedded Computing, MECO 2016, Bar, June 2016
  23. I. Stanković, I. Orović, S. Stanković, and M. Daković, “Iterative Denoising of Sparse Images,” 39th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2016
  24. M. Brajović, I. Orović, M. Daković, and S. Stanković, “The Analysis of Missing Samples in Signals Sparse in the Hermite Transform Domain,” 23rd Telecommunications Forum TELFOR, Belgrade, 2015
  25. S. Vujović, I. Orović, M. Daković, and LJ. Stanković, “Statistical Performance Analyzer for Compressive Sensing Gradient Algorithm,” 57th International Symposium , ELMAR-2015, Zadar, Croatia
  26. M. Daković, LJ. Stanković, and S. Stanković, “Gradient Algorithm Based ISAR Image Reconstruction From the Incomplete Dataset,” 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa) 2015, 17-19 June 2015, pp.6-10, doi: 10.1109/CoSeRa.2015.7330253
  27. A. Draganić, I. Orović, N. Lekić, M. Daković, and S. Stanković, “Architecture for Single Iteration Reconstruction Algorithm,” 4th Mediterranean Conference on Embedded Computing, MECO 2015
  28. S. Vujović, M. Daković, I. Orović, and S. Stanković, “An Architecture for Hardware Realization of Compressive Sensing Gradient Algorithm,” 4th Mediterranean Conference on Embedded Computing , MECO - 2015
  29. S. Vujović, M. Daković, and LJ. Stanković, “Comparison of the L1-magic and the Gradient Algorithm for Sparse Signals Reconstruction,” 22nd Telecommunications Forum , TELFOR, 2014 ,
  30. M. Daković, LJ. Stanković, and I. Orović, “Adaptive Gradient Based Algorithm for Complex Sparse Signal Reconstruction,” 22nd Telecommunications Forum TELFOR 2014, Belgrade, Serbia
  31. A. Drašković, M. Brajović, M. Daković, and LJ. Stanković, “Time- Frequency Plane Splitting for the First Order Local Polynomial Fourier Transform,” 21st Telecommunications Forum TELFOR 2013, Beograd, Nov. 26-28, 2013
  32. LJ. Stanković, M. Daković, and S. Vujović, “Concentration measures with an adaptive algorithm for processing sparse signals,” ISPA 2013, Trieste, Italy, 4-6 September 2013, pp. 418-423
  33. M. Daković, and LJ. Stanković, “Estimation of sinusoidally modulated signal parameters based on the inverse Radon transform,” ISPA 2013, Trieste, Italy, 4-6 September 2013, pp. 302-307
  34. M. Daković, M. Brajović, T. Thayaparan, and LJ. Stanković, “An algorithm for micro-Doppler period estimation,” 20th Telecommunications Forum TELFOR 2012, Beograd Nov. 20-22, 2012
  35. S. Djukanović, T. Thayaparan, M. Daković, and LJ. Stanković, “Interference suppression in noise radar systems,” SPIE Defense, Security, and Sensing, Orlando, Florida, USA, April 2011.
  36. S. Djukanović, M. Daković, T. Thayaparan, and LJ. Stanković, “A new method for strong broadband jammer rejection in noise radar systems,” 2010 ANTEM Conference, Ottawa, July 5-9, 2010.
  37. M. Daković, T. Thayaparan, and LJ. Stanković, “Empirical Mode Decomposition in Radar Signal Processing,” ANTEM/AMEREM 2010, 14TH International Symposium on Antennas and Electromagnetics and The American Electromagnetics Conference, July 2010, Ottawa, Canada
  38. V. Popović-Bugarin, I. Djurović, LJ. Stanković, T. Thayaparan, and M. Daković, “Autofocusing of SAR Images Based on the LPFT and the PHAF,” ANTEM/AMEREM 2010, 14TH International Symposium on Antennas and Electromagnetics and The American Electromagnetics Conference, July 2010, Ottawa, ON, CANADA
  39. P. Raković, T. Thayaparan, M. Daković, and LJ. Stanković, “An Algorithm for Detecting a Maneuvering Radar Target Based on TFR and Viterbi Algorithm,” SMACD 2010, 2010, Tunis-Gammarth, Tunis
  40. S. Djukanović, LJ. Stanković, and M. Daković, “Time-frequency method for nonstationary jammer suppression in dsss systems,” 17th Telecommunications Forum TELFOR 2009, invited paper, Serbia, Belgrade, November 24-26, 2009
  41. T. Thayaparan, LJ. Stanković, M. Daković, I. Djurović, and V. Popović-Bugarin, “Image enhancement and motion compensation of moving targets in ISAR using S-method,” International Radar Conference Surveilance for a Safer World 2009, RADAR, 2009, pp. 1-5.
  42. I. Djurović, M. Daković, and V. Popović-Bugarin, “Numerical modeling in radar data analyzing,” 6-th International Seminar Mathematical Models & Modeling in Laser – Plasma Processes, Budva, Crna Gora, pp. 43, jun 2009.
  43. E. Sejdić, P. Raković, M. Daković, and LJ. Stanković, “Heart sound decomposition by S-method,” EUSIPCO 2007, Poznan, Poland
  44. LJ. Stanković, T. Thayaparan, M. Daković, and V. Popović-Bugarin, “S-Method in radar imaging,” EUSIPCO 2006, Florence, Italy, 4-8 September 2006.
  45. V. Popović-Bugarin, M. Daković, T. Thayaparan, and LJ. Stanković, “Sar Images Improvements by Using The S-Method,” in Proc. of ICASSP 2006, Vol.3, 21-24 May 2006, pp.III-177-III-180
  46. T. Thayaparan, LJ. Stanković, and M. Daković, “A new Time-Frequency Signal Decomposition Approach for the Detection of Accelerating Air Targets in Sea-Clutter using Higth-Frequency Surface-Wave Radar,” IRS 2005, Berlin, Germany, Sept.2005
  47. LJ. Stanković, T. Thayaparan, and M. Daković, “Improvement of the Fast Moving Targets Presentation in ISAR by Using the S-Method,” EUSIPCO 2005, Antalya, Turkey, Sept. 2005
  48. LJ. Stanković, T. Thayaparan, and M. Daković, “Algorithm for Signal Decomposition by Using The S-Method,” EUSIPCO 2005, Antalya, Turkey, Sept. 2005
  49. I. Djurović, V. Rubežić, and M. Daković, “Chaos detection in Colpitts oscillator,” Proceedings of the XL International Scientific Conference on Information, Communication and Energy Systems and Technologies ICEST 2005, pp. 648 -651, Niš, 2005
  50. V. Rubežić, M. Radulović, A. Jovanović, and M. Daković, “The chaotic mobile robot,” WSEAS Transactions on Computers, Issue 4, Vol.3, Oct. 2004, pp.959-962
  51. LJ. Stanković, V. Popović-Bugarin, and M. Daković, “On the Capon's method application in time-frequency signal analysis,” in Proc. of ISSPIT 2003, Darmstadt, Germany, 14-17 December 2003, pp. 721-724.
  52. M. Daković, V. N. Ivanović, and LJ. Stanković, “On the S-method based instantaneous frequency estimation,” in Proc. of ISSPA, Paris, July 2003
  53. M. Daković, I. Djurović, and LJ. Stanković, “Adaptive weighted fractional Fourier transforms,” European Conf. on Signal Processing, EUSIPCO 2002, France, Toulouse, Sept.2002, Vol.II, pp.603-606
  54. V. N. Ivanović, M. Daković, I. Djurović, and LJ. Stanković, “Instantaneous frequency estimation by using time-frequency distributions,” IEEE Int.Conf. Acoust., Speech, Sign. Proc., ICASSP 2001, Salt Lake City, May 2001, Vol.6, pp.3521-3524.
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Regional and National Conferences

  1. M. Daković, B. Lutovac, and T. B. Šekara, “Razdvajanje potrošača zasnovano na neinvazivnom praćenju potrošnje ,” III naučno-stručni simpozijum ENEF 2017, Banja Luka, 3 - 4. novembar 2017.
  2. M. Brajović, M. Daković, and LJ. Stanković, “A Higher Order Time-Frequency Representation With Reduced Cross-Terms,” 22nd International Scientific-Professional Conference Information Technology 2017, Žabljak, February 2017.
  3. T. Ružić, T. Rogač, M. Brajović, and M. Daković, “Digitalna obrada hidrometeoroloških podataka sa sliva rijeka Neretve i Trebišnjice,” ETRAN 2016, Zlatibor, June 2016
  4. T. Rogač, T. Ružić, and M. Daković, “Primjena vremensko-frekvencijskih transformacija na hidrometeorološke podatke,” INFOTEH, Jahorina, Vol. 15, March 2016, pp. 671-674
  5. M. Brajović, LJ. Stanković, and M. Daković, “Reconstruction of non-stationary signals with missing samples using S-method and a gradient-based reconstruction algorithm,” Informacione Tehnologije - IT 2015, February 2015
  6. D. Žarić, M. Daković, and M. Brajović, “Radarski sistem baziran na analizi signala emitovanih iz postojećih izvora,” ETRAN 2013, Zlatibor, jun 2013
  7. M. Daković, S. Vujović, and LJ. Stanković, “Rekonstrukcija odbiraka signala korišćenjem sparse signal analize,” Informacione Tehnologije - IT 2013, Žabljak, februar 2013.
  8. M. Brajović, A. Drašković, M. Daković, and LJ. Stanković, “Razmatranje numeričke implementacije nekih vremensko-frekvencijskih reprezentacija,” Informacione Tehnologije - IT 2013, Žabljak, februar 2013
  9. M. Brajović, M. Daković, and LJ. Stanković, “Vremensko-frekvencijska transformacija višeg reda zasnovana na aproksimaciji prvog izvoda faze,” ETRAN 2012, Zlatibor, jul 2012
  10. M. Daković, M. Brajović, and LJ. Stanković, “Rekurzivni metod za računanje kratkotrajne Fourier-ove transformacije,” Informacione tehnologije - IT 2012, Žabljak, februar 2012
  11. M. Simeunović, M. Daković, and I. Djurović, “Primjena MPI za određivanje izraza za bias i varijansu kubične fazne funkcije,” Informacione tehnologije IT 2010, Žabljak, Februar 2010.
  12. M. Daković, N. Radović, and LJ. Stanković, “Upoređivanje klasičnih radarskih sistema i radarskih sistema sa slučajnim signalima,” XII konferencija IT 2007, Žabljak, 2007
  13. I. Djurović, V. Rubežić, and M. Daković, “Otkrivanje haotičnih sigurnih komunikacija upotrebom vremensko-frekvencijskih reprezentacija,” Informacione tehnologije IT '06, pp. 154-157. Žabljak, 2006
  14. V. Rubežić, I. Djurović, and M. Daković, “Otkrivanje haotičnih sigurnih komunikacija upotrebom vremensko-frekvencijskih reprezentacija,” Informacione tehnologije IT '06, Zbornik radova, str. 154-157, Žabljak, 2006.
  15. V. Rubežić, I. Djurović, and M. Daković, “Detekcija haosa u Kolpicovom oscilatoru,” ETRAN 2005, Budva, 2005, pp.155-158
  16. V. Rubežić, I. Djurović, and M. Daković, “Detekcija haosa u Cuinom oscilatoru,” Informacione tehnologije IT '05, Žabljak, 2005.
  17. V. Rubežić, M. Radulović, M. Daković, and R. Ostojić, “Haoticni mobilni robot,” XLVII ETRAN, Herceg Novi 2003, Vol. IV, pp.379-381
  18. M. Daković, LJ. Stanković, and Z. Uskoković, “Energetska mjera koncentracije vremensko-frekvencijskih reprezentacija,” IT MM, Žabljak, 2000
  19. M. Daković, R. Vuković, and Ž. Crnjak, “Pracenje stanja visih harmonika u elektroenergetskoj mrezi uz pomoć racunara,” IT MM, Žabljak, 2000
  20. V. N. Ivanović, and M. Daković, “Reduced interference distributions in instantaneous frequency estimation,” Proc. of 43. Yugoslav Conference of ETRAN, Zlatibor 1999
  21. R. Dragović-Ivanović, M. Daković, and S. M. Perovich, “Concerning the diode rectifier instruments calibration,” PRIM 97, Novi Sad 1997
  22. N. Jauković, B. Lutovac, M. Daković, and O. Laković, “Neural netvork application for music element recognition,” NEUREL 97, Beograd 1997
  23. O. Laković, N. Jauković, B. Lutovac, and M. Daković, “Prepoznavanje tonaliteta primjenom neuralnih mreža,” Informacione tehnologije II, Žabljak, 1997
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Projects and other Publications

  1. M. Daković, LJ. Stanković, T. Thayaparan, V. Popović-Bugarin, P. Raković, and M. Brajović, “Radarski sistemi sa stohastičkim talasnim oblicima,” Research project supported by Ministry of Science of Montenegro , University of Montenegro, Faculty of Electrical Engineering, 2012-2015
  2. M. Daković, LJ. Stanković, S. Djukanović, V. Popović-Bugarin, T. Thayaparan, and P. Raković, “Analiza nestacionarnih signala u vremensko-frekvencijskom domenu sa primjenom na radarske signale,” Research project supported by Ministry of Education and Science of Montenegro , University of Montenegro, Faculty of Electrical Engineering, 2008-2011
  3. LJ. Stanković, M. Daković, S. Djukanović, V. Popović-Bugarin, and P. Raković, “Dekompozicija složenih signala primjenom vremensko-frekvencijske analize,” Research project supported by Ministry of Education and Science of Montenegro , University of Montenegro, Faculty of Electrical Engineering, 2005-2007
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Submitted Papers

  1. LJ. Stanković, and M. Daković, “Reconstruction of Randomly Sampled Sparse Signals Using an Adaptive Gradient Algorithm,” submitted to Signal Processing,
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Thesis

  1. M. Daković, “Estimacija parametara signala dekompozicijom u vremensko-frekvencijskom domenu sa primjenom na radarske signale,” Ph.D. Thesis, University of Montenegro, Podgorica, Oct. 2005
  2. M. Daković, “Mjerenje koncentracije vremensko-frekvencijskih distribucija,” M.S. Thesis, University of Montenegro, Podgorica, Dec. 2001
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