Search Results - "Biguesh, M."

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  1. 1

    Training-based MIMO channel estimation: a study of estimator tradeoffs and optimal training signals by Biguesh, M., Gershman, A.B.

    Published in IEEE transactions on signal processing (01-03-2006)
    “…In this paper, we study the performance of multiple-input multiple-output channel estimation methods using training sequences. We consider the popular linear…”
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    Journal Article
  2. 2

    Optimal Training Sequence for MIMO Wireless Systems in Colored Environments by Biguesh, M., Gazor, S., Shariat, M.H.

    Published in IEEE transactions on signal processing (01-08-2009)
    “…In this paper, we design the training signal for a multi-input multi-output (MIMO) communication system in a colored medium. We assume that the known channel…”
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    Journal Article
  3. 3

    On Proper Antenna Pattern for a Simple Source Detection and Localization System by Biguesh, M., Gazor, S.

    “…This paper proposes a simple and practical passive system for detection and direction finding of a far-field signal source. The proposed system receives signal…”
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    Journal Article
  4. 4

    On channel estimation and optimal training for MIMO systems by Biguesh, M., Gershman, A.B.

    “…The performance of MIMO channel estimation methods using training sequences is studied. We consider the popular least squares (LS) and minimum…”
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    Conference Proceeding
  5. 5

    An improved distributed downlink power control in the presence of erroneous user SINR reports [cellular radio] by Biguesh, M., Gershman, A.B., Czylwik, A.

    “…Power control is one of the key approaches to increase the capacity and quality of service (QoS) in cellular mobile communication systems. A simple and…”
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    Conference Proceeding
  6. 6

    Improvement of MIMO channel estimation using Signal Space of communication data by Shariat, M H, Biguesh, M, Gazor, S

    “…In this paper, we propose a method for improvement of the channel estimation/training used in multi-input multi-output (MIMO) communication systems. The…”
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    Conference Proceeding
  7. 7

    Speech-Model Based Accurate Blind Reverberation Time Estimation Using an LPC Filter by Keshavarz, A., Mosayyebpour, S., Biguesh, M., Gulliver, T. A., Esmaeili, M.

    “…In this paper, we propose a speech-model based method using the linear predictive (LP) residual of the speech signal and the maximum-likelihood (ML) estimator…”
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    Journal Article
  8. 8

    MIMO channel estimation: optimal training and tradeoffs between estimation techniques by Biguesh, M., Gershman, A.B.

    “…Channel estimation in multiple-input multiple-output (MIMO) wireless communication systems plays a key role in the performance of space-time decoders that…”
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    Conference Proceeding
  9. 9

    A Power Allocation Method for DMT-Based DSL Systems Using Geometric Programming by Mohammadian, R., Biguesh, M., Gazor, S.

    Published in IEEE signal processing letters (01-01-2010)
    “…In this letter, we consider a power allocation problem for digital subscriber line (DSL) systems. The goal of this problem is to minimize the total transmit…”
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    Journal Article
  10. 10

    Robust Downlink Power Control in Wireless Cellular Systems by Biguesh, Mehrzad, Shahbazpanahi, Shahram, Gershman, Alex B

    “…A serious shortcoming of current downlink power control methods is that their performance may be severely degraded when the downlink channel information is…”
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    Journal Article
  11. 11

    Downlink Channel Estimation in Cellular Systems with Antenna Arrays at Base Stations Using Channel Probing with Feedback by Biguesh, Mehrzad, Gershman, Alex B.

    “…In mobile communication systems with multisensor antennas at base stations, downlink channel estimation plays a key role because accurate channel estimates are…”
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    Journal Article
  12. 12

    Optimum probing for downlink vector channel estimation by Biguesh, M., Gershman, A.B.

    “…This paper studies the performance of the vector channel probing method with feedback. The least squares (LS), minimum mean square error (MMSE), and a new…”
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    Conference Proceeding
  13. 13

    Robust downlink power adjustment in cellular communication systems with antenna arrays at base stations by Biguesh, M., Shahbazpanahi, S., Gershman, A.B.

    “…A serious shortcoming of current downlink power adjustment and transmit beamforming methods is that their performance may become severely degraded when the…”
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    Conference Proceeding
  14. 14

    A new beamforming algorithm based on signal subspace eigenvectors by Biguesh, M., Valaee, S., Champagne, B., Bastani, M.H.

    “…A new beamforming algorithm, based on the eigendecomposition of the sample correlation matrix, has been introduced. The beamformer uses a weighted linear…”
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    Conference Proceeding
  15. 15

    Generalized principal component beamformer for communication systems by Biguesh, Mehrzad, Valaee, Shahrokh, Champagne, Benoît

    Published in Signal processing (2005)
    “…The contribution of this paper is two-fold. First, we introduce a generalized principal component (GPC) beamforming technique for reduced rank processing that…”
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    Journal Article
  16. 16

    Robust power adjustment for transmit beamforming in cellular communication systems by Biguesh, M., Shahbazpanahi, S., Gershman, A.B.

    “…A new robust power adjustment method is proposed for transmit beamforming in cellular communication systems that use antenna arrays at base stations (BSs). Our…”
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    Conference Proceeding
  17. 17

    Optimal linear MIMO relay communication under a constraint on the condition number of relay transform matrix by Shariat, M. H., Biguesh, M., Gazor, S.

    “…In this paper, we consider a communication system employing a relay equipped with multi antennas. The relay transmits a linear transformation of its received…”
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    Conference Proceeding
  18. 18

    ML detection in MIMO communication systems in the presence of channel estimation error by Neinavaie, M., Shariat, M. H., Biguesh, M., Gazor, S.

    “…The performance of symbol detection in multiple-input multiple-output (MIMO) communication systems may considerably be degraded in the case of imperfect…”
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    Conference Proceeding
  19. 19

    Spectrum allocation based on Artificial Bee Colony in Cognitive Radio networks by Ghasemi, A., Masnadi-Shirazi, Mohammad Ali, Biguesh, M., Jahromi, A. F., Ghasemi, F.

    “…Cognitive Radio (CR) has been regarded as a promising technology to improve the spectrum utilization significantly. One of the considered issues in CR is the…”
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    Conference Proceeding
  20. 20

    Optimal training sequence for wireless MIMO channel estimation by Shariat, M. H., Biguesh, M., Gazor, Saeed

    “…The capability to increase the channel capacity of wireless systems without increasing the transmit power depends on the accuracy of channel estimation at the…”
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    Conference Proceeding