Publications

Mehdi Farrokhrooz

Publications

 

M.Sc. Thesis:

" Marine Vessels Radiated Noise Classification in Passive Sonar Using Spectral Features and Neural Network". Advisor: Dr. M. Karimi, Supervisors: Prof. M. A. Masnadi Shirazi and Dr. A. Sheikhi, Shiraz University, August 2005.

B.Sc. Project Report:

" Extraction of Statistical Specific Density vs. Conductivity Curves for Ethanol in Distillation Tower of Chemical Eng. Department", Supervisor: Dr. A. R. Khayatian Shiraz University, August 2002.

ISI Journal Paper:

[1] M. Farrokhrooz, M. Karimi, "Marine Vessels Acoustic Radiated Noise Classification in Passive Sonar Using Probabilistic Neural Network and Spectral Features", INTELLIGENT AUTOMATION AND SOFT COMPUTING (AUTOSOFT) JOURNAL, Vol. 17, No. 3,pp: 369-383, 2011. (Abstract)

Book Chapters:

[1] H. Peyvandi, M. Farrokhrooz, H. Roufarshbaf, Sung.J.Park,"SONAR Systems and Underwater Signal Processing: Classic and Modern Approaches" Sonar Systems Book, Chapter 9, pp: 173-206, September 2011 (Editor: N. Z. Kolev, ISBN: 978-953-307-345-3, InTech,)

[2] H. Keivani, M. Farrokhrooz, "The Analysis of the Directional Couplers with Chiral Materials Using Finite Element method" Finite Element Methods and Applications Book , WSEAS PRESS, pp: 164-173, 2006 (Editors: Prof. N. E. Mastorakis and Prof. O. Martin).

Conference Papers and Presentations:

[1] Mehdi Farrokhrooz, Kathleen E. Wage, "Effect of Array Tilt on Estimations of Vertical Ambient Noise Spectrum", OCEAN’S 2015 MTS/IEEE.(Abstract)

[2] Kathleen E. Wage, Mehdi Farrokhrooz, Matthew A. Dzieciuch, and Peter F. Worcester, "Analysis of the vertical structure of deep ocean noise using measurements from the SPICEX and PhilSea experiments", J. Acoust. Soc. Am. Volume 133, Issue 5, pp. 3397-3397 (2013).(Abstract)

[3] Mohammad Reza Mousavi, Mahmood Karimi, and Mehdi Farrokhrooz, "Statistical properties of high frequency acoustic fluctuations induced by rough sea surface", IEEE Oceans/MTS 2012, Virginia Beach, VA, 14-19 Oct. 2012.(Abstract)

[4] Mehdi Farrokhrooz. Kathleen E. Wage, Matthew A. Dzieciuch, Peter F. Worcester, "Analysis of the vertical directionality of ambient noise: SPICE04 experiment measurements and model simulations", J. Acoust. Soc. Am. Volume 129, Issue 4, pp. 2602-2602 (2011).(Abstract)

[5] Valizadeh, A. Farrokhrooz, M. Rafiei, A, "Fast signal subspace tracking using two-layer linear neural network learning", MED 2008, pp: 1828-1832, 25-27 June 2008, Ajaccio, France.(Abstract)

[6] S. A. Anvar, M. R. Hamtaei, M. Farrokhrooz, "Application of Time-Frequency transforms for estimation of natural frequencies of M-DOF systems", ICEEDM 2008, 14-15 April, Indonesia. (Full Paper)

[7] M. Farrokhrooz, M. Karimi, A. Rafiei, "A NEW METHOD FOR SPREAD VALUE ESTIMATION IN MULTI-SPREAD PNN AND ITS APPLICATION IN SHIP NOISE CLASSIFICATION", IEEE/ISSPA 2007, Sharjeh, U.A.E, 2007.(Abstract)

[8] S. Mousazadeh, M. Karimi, M. Farrokhrooz," ARCH PARAMETER ESTIMATION VIA CONSTRAINED TWO STAGE LEAST SQUARES METHOD", IEEE/ISSPA 2007, Sharjeh, U.A.E, 2007. (Abstract)

[9] A. Valizadeh, M. Karimi, M. Farrokhrooz, "COMPARISON OF A SIGNAL SUBSPACE TRACKING ALGORITHM VIA LMS-TYPE PROCEDURE WITH HIGH RESOLUTION DOA ESTIMATION METHOD", IEEE/ISSPA 2007, Sharjeh, U.A.E, 2007.(Abstract)

[10] H. Keivani, M. Fazaelifard, M. Farrokhrooz, "Computation of Characteristic Impedance of CPW, Grounded CPW (GCPW) and Microstrip Lines in a Wide Frequency Range Using TLM Approach", Proceedings of the 5th WSEAS International Conference on Telecommunications and Informatics, Istanbul, Turkey, May 27-29, 2006 (pp226-231).(Abstract)

[11] H. Keivani, M. Fazaelifard, M. Farrokhrooz, "Using TLM Method for Analysis of the Microstrip Lines and the Peer Transmission Waveguides in Wide Frequency Range", WSEAS Transactions on Communications, Issue 6, Vol.5 June 2006.

[12] M. Farrokhrooz, et al, "Marine Vessels Classification Using Probabilistic Neural Network", 8th ISSPA IEEE Conf. Proc., August 28-31 2005, Page(s): 515-518, Sydney, Australia.(Abstract)

[13] M. Farrokhrooz, M. Karimi, "Ship Noise Classification Using Probabilistic Neural Network and AR Model Coefficients", Oceans 2005 - Europe IEEE/OES Proc., 20-23 June 2005 Page(s):1107 - 1110 Vol. 2, Brest, France.(Abstract)

Technical Reports:

[1] Four technical reports for Engineering Research Center (ERCJ), Tehran, Iran.

[2] Twenty technical reports for Hydro-physics Department of Naval Research Center, Shiraz, Iran.