Search Results - "Bolic, M"

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  1. 1

    Taxonomy and Challenges of the Integration of RFID and Wireless Sensor Networks by Hai Liu, Bolic, M., Nayak, A., Stojmenovic, I.

    Published in IEEE network (01-11-2008)
    “…Radio frequency identification and wireless sensor networks are two important wireless technologies that have a wide variety of applications in current and…”
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    Journal Article
  2. 2

    Resampling algorithms and architectures for distributed particle filters by Bolic, M., Djuric, P.M., Sangjin Hong

    Published in IEEE transactions on signal processing (01-07-2005)
    “…In this paper, we propose novel resampling algorithms with architectures for efficient distributed implementation of particle filters. The proposed algorithms…”
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    Journal Article
  3. 3

    Coefficient-Free Blood Pressure Estimation Based on Pulse Transit Time-Cuff Pressure Dependence by Forouzanfar, Mohamad, Ahmad, Saif, Batkin, Izmail, Dajani, Hilmi R., Groza, Voicu Z., Bolic, Miodrag

    “…Oscillometry is a popular technique for automatic estimation of blood pressure (BP). However, most of the oscillometric algorithms rely on empirical…”
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    Journal Article
  4. 4

    Estimation of Breathing Rate with Confidence Interval Using Single-Channel CW Radar by Rajan, Sreeraman, Baird, Z., Sadreazami, H., Nejadgholi, I., Bolic, Miodrag

    Published in Journal of healthcare engineering (01-01-2019)
    “…Breathing rate monitoring using continuous wave (CW) radar has gained much attention due to its contact-less nature and privacy-friendly characteristic. In…”
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    Journal Article
  5. 5
  6. 6

    Pileup Correction Algorithms for Very-High-Count-Rate Gamma-Ray Spectrometry With NaI(Tl) Detectors by Bolic, M., Drndarevic, V., Gueaieb, W.

    “…In this paper, we propose algorithms that are suitable for gamma-ray spectrometric systems with Nal(Tl) detector that support pileup correction at extremely…”
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    Journal Article
  7. 7

    Speech Enhancement Based on Nonlinear Models Using Particle Filters by Mustiere, F., Bolic, M., Bouchard, M.

    Published in IEEE transactions on neural networks (01-12-2009)
    “…Motivated by the reportedly strong performance of particle filters (PFs) for noise reduction on essentially linear speech production models, and the mounting…”
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    Journal Article
  8. 8

    M -Ary RFID Tags Splitting With Small Idle Slots by Hongbo Guo, Leung, V. C. M., Bolic, M.

    “…In radio frequency identifications (RFIDs), an idle slot can be interrupted by the reader and takes less time than the other slots. In this case, the widely…”
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    Journal Article
  9. 9

    Improved Proportionate Subband NLMS for Acoustic Echo Cancellation in Changing Environments by Laska, B.N.M., Goubran, R.A., Bolic, M.

    Published in IEEE signal processing letters (2008)
    “…Acoustic echo paths can change frequently in response to minor changes in the near-end room. Using echo path measurements obtained using commercial wideband…”
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    Journal Article
  10. 10

    An efficient fixed-point implementation of residual resampling scheme for high-speed particle filters by Sangjin Hong, Bolic, M., Djuric, P.M.

    Published in IEEE signal processing letters (01-05-2004)
    “…A novel low-complexity residual resampling scheme for particle filters is presented. The proposed scheme uses a simple but effective "particle-tagging" method…”
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    Journal Article
  11. 11

    Performance analysis of blind adaptive MIMO receivers by Balasingam, B, Bolic, M, Shahbazpanahi, S, Kirubarajan, T

    “…In this paper, we derive a theoretical performance evaluation scheme of Kalman filter based channel tracking and data decoding for multiple-input…”
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    Conference Proceeding
  12. 12

    Novel Semi-Passive RFID System for Indoor Localization by Athalye, A., Savic, V., Bolic, M., Djuric, P. M.

    Published in IEEE sensors journal (01-02-2013)
    “…In this paper, we present a novel semi-passive radio-frequency identification (RFID) system for accurate indoor localization. The system is composed of a…”
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    Journal Article
  13. 13

    Electrocardiogram-Assisted Blood Pressure Estimation by Ahmad, Saif, Chen, Silu, Soueidan, Karen, Batkin, Izmail, Bolic, Miodrag, Dajani, Hilmi, Groza, Voicu

    “…Accurate automatic noninvasive assessment of blood pressure (BP) presents a challenge due to conditions like arrhythmias, obesity, and postural changes that…”
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    Journal Article
  14. 14

    Performance and complexity analysis of adaptive particle filtering for tracking applications by Bolic, M., Sangjin Hong, Djuric, P.M.

    “…This paper provides a performance and complexity analysis of particle filtering as applied to real-time object tracking. The number of particles and the…”
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    Conference Proceeding
  15. 15

    Assessment of algorithms for oscillometric blood pressure measurement by Chen, S, Groza, V Z, Bolic, M, Dajani, H R

    “…Three different algorithms for finding blood pressure through the oscillometric method were researched and assessed. It is shown that these algorithms are…”
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    Conference Proceeding
  16. 16

    Comparison of Feed-Forward Neural Network training algorithms for oscillometric blood pressure estimation by Forouzanfar, M, Dajani, H R, Groza, V Z, Bolic, M, Rajan, S

    “…Feed-Forward Neural Network (FFNN) has recently been utilized to estimate blood pressure (BP) from the oscillometric measurements. However, there has been no…”
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    Conference Proceeding
  17. 17

    Finite precision effect on performance and complexity of particle filters for bearing-only tracking by Bolic, M., Sangjin Hong, Djuric, P.M.

    “…The complexity reduction of particle filters and their performance due to infinite precision effects are investigated. A method for dynamic range scaling of…”
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    Conference Proceeding
  18. 18

    Feature-Based Neural Network Approach for Oscillometric Blood Pressure Estimation by Forouzanfar, M., Dajani, H. R., Groza, V. Z., Bolic, M., Rajan, S.

    “…In this paper, we present a novel feature-based neural network (NN) approach for estimation of blood pressure (BP) from wrist oscillometric measurements…”
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    Journal Article
  19. 19

    Resampling Algorithms for Particle Filters: A Computational Complexity Perspective by Bolić, Miodrag, Djurić, Petar M., Hong, Sangjin

    “…Newly developed resampling algorithms for particle filters suitable for real-time implementation are described and their analysis is presented. The new…”
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    Journal Article
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