Petar M. Djurić

Petar M. Djurić received his B.S. and M.S. degrees in electrical engineering from the University of Belgrade, in 1981 and 1986, respectively, and his Ph.D. degree in electrical engineering from the University of Rhode Island, in 1990. From 1981 to 1986, he was a Research Associate with the Institute of Nuclear Sciences, Vinca, Belgrade. Since 1990, he has been with Stony Brook University, where he is a Professor in the Department of Electrical and Computer Engineering. He works in the area of statistical signal processing, and his primary interests are in the theory of modeling, detection, estimation, and time series analysis, and its application to a wide variety of disciplines including wireless communications and biomedicine.

Biography Updated on 9 November 2005

Articles in Scholarly Journals [Incomplete List]

  1. Target tracking by fusion of random measures
    Signal, Image and Video Processing, vol. 1, no. 2, pp. 149–161, 2007
  2. Performance comparison of EKF and particle filtering methods for maneuvering targets
    Digital Signal Processing, vol. 17, no. 4, pp. 774–786, 2007
  3. Design Methodology for Domain Specific Parameterizable Particle Filter Realizations
    IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 54, no. 9, pp. 1987–2000, 2007
  4. Magnetic Resonance Spectroscopy Identifies Neural Progenitor Cells in the Live Human Brain
    Science, vol. 318, no. 5852, pp. 980–985, 2007
  5. Erratum to ?A New Class of Particle Filters for Random Dynamic Systems with Unknown Statistics?
    EURASIP Journal on Applied Signal Processing, vol. 2006, Article ID 78708, 2 pages, 2006
  6. High-throughput scalable parallel resampling mechanism for effective redistribution of particles
    IEEE Transactions on Signal Processing, vol. 54, no. 3, pp. 1144–1155, 2006
  7. Design and Implementation of Flexible Resampling Mechanism for High-Speed Parallel Particle Filters
    The Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, vol. 44, no. 1-2, pp. 47–62, 2006
  8. A general method for the computation of probabilities in systems of first order chemical reactions
    The Journal of Chemical Physics, vol. 122, no. 10, p. 104101, 2005
  9. Bayesian Detection for BLAST
    IEEE Transactions on Signal Processing, vol. 53, no. 3, pp. 1086–1096, 2005
  10. Resampling algorithms and architectures for distributed particle filters
    IEEE Transactions on Signal Processing, vol. 53, no. 7, pp. 2442–2450, 2005
  11. Signal Processing: is the future bright? [from The Editor]
    IEEE Signal Processing Magazine, vol. 22, no. 4, pp. 2–2, 2005
  12. Generic Hardware Architectures for Sampling and Resampling in Particle Filters
    EURASIP Journal on Applied Signal Processing, vol. 2005, no. 17, pp. 2888–2902, 2005
  13. Simplifying Physical Realization of Gaussian Particle Filters with Block-Level Pipeline Control
    EURASIP Journal on Applied Signal Processing, vol. 2005, no. 4, pp. 575–587, 2005
  14. Adaptive Blind Multiuser Detection over Flat Fast Fading Channels Using Particle Filtering
    EURASIP Journal on Wireless Communications and Networking, vol. 2005, no. 2, pp. 130–140, 2005
  15. Editorial
    EURASIP Journal on Applied Signal Processing, vol. 2004, no. 15, pp. 2239–2241, 2004
  16. Resampling Algorithms for Particle Filters: A Computational Complexity Perspective
    EURASIP Journal on Applied Signal Processing, vol. 2004, no. 15, pp. 2267–2277, 2004
  17. A New Class of Particle Filters for Random Dynamic Systems with Unknown Statistics
    EURASIP Journal on Applied Signal Processing, vol. 2004, no. 15, pp. 2278–2294, 2004
  18. A Blind Particle Filtering Detector of Signals Transmitted Over Flat Fading Channels
    IEEE Transactions on Signal Processing, vol. 52, no. 7, pp. 1891–1900, 2004
  19. A Hybrid Importance Function for Particle Filtering
    IEEE Signal Processing Letters, vol. 11, no. 3, pp. 404–406, 2004
  20. An Efficient Fixed-Point Implementation of Residual Resampling Scheme for High-Speed Particle Filters
    IEEE Signal Processing Letters, vol. 11, no. 5, pp. 482–485, 2004
  21. Comment on “Stiffness in stochastic chemically reacting systems: The implicit tau-leaping method” [J. Chem. Phys. 119, 12784 (2003)]
    The Journal of Chemical Physics, vol. 121, no. 7, p. 3347, 2004
  22. Blind equalization for time-varying channels and multiple samples processing using particle filtering1
    Digital Signal Processing, vol. 14, no. 4, pp. 312–331, 2004
  23. Blind sequential detection for Rayleigh fading channels using hybrid Monte Carlo-recursive identification algorithms
    Signal Processing, vol. 84, no. 5, pp. 825–832, 2004
  24. A sequential Monte Carlo technique for blind synchronization and detection in frequency-flat Rayleigh fading wireless channels
    Signal Processing, vol. 84, no. 11, pp. 2081–2096, 2004
  25. Particle Filtering
    IEEE Signal Processing Magazine, vol. 20, no. 5, pp. 19–38, 2003
  26. Gaussian sum particle filtering
    IEEE Transactions on Signal Processing, vol. 51, no. 10, pp. 2602–2612, 2003
  27. Gaussian particle filtering
    IEEE Transactions on Signal Processing, vol. 51, no. 10, pp. 2592–2601, 2003
  28. Multibeam cellular mobile communications with dynamic channel assignment
    IEEE Transactions on Vehicular Technology, vol. 51, no. 5, pp. 1252–1258, 2002
  29. Multiuser detection of synchronous code-division multiple-access signals by perfect sampling
    IEEE Transactions on Signal Processing, vol. 50, no. 7, pp. 1724–1734, 2002
  30. Guest editorial special issue on monte carlo methods for statistical signal processing
    IEEE Transactions on Signal Processing, vol. 50, no. 2, pp. 173–173, 2002
  31. Variable Selection by Perfect Sampling
    EURASIP Journal on Applied Signal Processing, vol. 2002, no. 1, pp. 38–45, 2002
  32. Joint Estimation and Decoding of Space-Time Trellis Codes
    EURASIP Journal on Applied Signal Processing, vol. 2002, no. 3, pp. 305–315, 2002
  33. Sequential Parameter Estimation of Time-Varying Non-Gaussian Autoregressive Processes
    EURASIP Journal on Applied Signal Processing, vol. 2002, no. 8, pp. 865–875, 2002
  34. Perfect sampling: a review and applications to signal processing
    IEEE Transactions on Signal Processing, vol. 50, no. 2, pp. 345–356, 2002
  35. An MCMC sampling approach to estimation of nonstationary hidden Markov models
    IEEE Transactions on Signal Processing, vol. 50, no. 5, pp. 1113–1123, 2002
  36. Model selection by MCMC computation
    Signal Processing, vol. 81, no. 1, pp. 19–37, 2001
  37. Estimation of a Bernoulli parameter p from imperfect trials
    IEEE Signal Processing Letters, vol. 7, no. 6, pp. 160–163, 2000
  38. Wireless Networks, vol. 5, no. 4, pp. 267–278, 1999
  39. The Frequency Distribution of the Number of Ion Pairs in Irradiated Tissue
    Radiation Research, vol. 149, no. 5, p. 411, 1998
  40. MMSE estimation of nonlinear parameters of multiple linear/quadratic chirps
    IEEE Transactions on Signal Processing, vol. 46, no. 3, pp. 796–800, 1998
  41. Asymptotic MAP criteria for model selection
    IEEE Transactions on Signal Processing, vol. 46, no. 10, pp. 2726–2735, 1998
  42. EM algorithm for image segmentation initialized by a tree structure scheme
    IEEE Transactions on Image Processing, vol. 6, no. 2, pp. 349–352, 1997
  43. On the detection of edges in vector images
    IEEE Transactions on Image Processing, vol. 6, no. 11, pp. 1595–1601, 1997
  44. Uniform random parameter generation of stable minimum-phase real ARMA (p,q) processes
    IEEE Signal Processing Letters, vol. 4, no. 9, pp. 259–261, 1997
  45. Model order selection of damped sinusoids in noise by predictive densities
    IEEE Transactions on Signal Processing, vol. 44, no. 3, pp. 611–619, 1996
  46. A model selection rule for sinusoids in white Gaussian noise
    IEEE Transactions on Signal Processing, vol. 44, no. 7, pp. 1744–1751, 1996
  47. A novel approach to detection of closely spaced sinusoids
    Signal Processing, vol. 51, no. 2, pp. 93–104, 1996
  48. An iterative MMSE procedure for parameter estimation of damped sinusoidal signals
    Signal Processing, vol. 51, no. 2, pp. 105–120, 1996
  49. Unsupervised vector image segmentation by a tree structure-ICM algorithm
    IEEE Transactions on Medical Imaging, vol. 15, no. 6, pp. 871–880, 1996
  50. Bayesian detection and estimation of cisoids in colored noise
    IEEE Transactions on Signal Processing, vol. 43, no. 12, pp. 2943–2952, 1995
  51. Bayesian spectrum estimation of harmonic signals
    IEEE Signal Processing Letters, vol. 2, no. 11, pp. 213–215, 1995
  52. Model selection based on Bayesian predictive densities and multiple data records
    IEEE Transactions on Signal Processing, vol. 42, no. 7, pp. 1685–1699, 1994
  53. Detection and estimation of DOA's of signals via Bayesian predictive densities
    IEEE Transactions on Signal Processing, vol. 42, no. 11, pp. 3051–3060, 1994
  54. Frequency tracking in power networks in the presence of harmonics
    IEEE Transactions on Power Delivery, vol. 8, no. 2, pp. 480–486, 1993
  55. Order selection of autoregressive models
    IEEE Transactions on Signal Processing, vol. 40, no. 11, pp. 2829–2833, 1992
  56. Instantaneous phase tracking in power networks by demodulation
    IEEE Transactions on Instrumentation and Measurement, vol. 41, no. 6, pp. 963–967, 1992
  57. Parameter estimation of chirp signals
    IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 38, no. 12, pp. 2118–2126, 1990