Search Results - "Piechocki, R.J"

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  1. 1

    Gaussian approximation based mixture reduction for near optimum detection in MIMO systems by Yugang Jia, Andrieu, C., Piechocki, R.J., Sandell, M.

    Published in IEEE communications letters (01-11-2005)
    “…The optimal "soft" symbol detection for spatial multiplexing multiple input multiple output (MIMO) system with known channel information requires knowledge of…”
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    Journal Article
  2. 2

    Depth-First and Breadth-First Search Based Multilevel SGA Algorithms for Near Optimal Symbol Detection in MIMO Systems by Yugang Jia, Andrieu, C., Piechocki, R.J., Sandell, M.

    “…The multilevel structure of the N-QAM modulation constellations is exploited to significantly reduce the complexity of the sequential Gaussian approximation…”
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    Journal Article
  3. 3

    Novel Reduced-State BCJR Algorithms by Vithanage, C.M., Andrieu, C., Piechocki, R.J.

    Published in IEEE transactions on communications (01-06-2007)
    “…BCJR algorithm is an exact and efficient algorithm to compute the marginal posterior distributions of state variables and pairs of consecutive state variables…”
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    Journal Article
  4. 4

    A channel estimation algorithm for MIMO-SCFDE by Jiun Siew, Coon, J., Piechocki, R.J., Dowler, A., Nix, A., Beach, M., Armour, S., McGeehan, J.

    Published in IEEE communications letters (01-09-2004)
    “…This letter proposes a novel method for channel estimation in a single-carrier multiple input-multiple output (MIMO) system with frequency-domain…”
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    Journal Article
  5. 5

    Gaussian Approximation Based Mixture Reduction for Joint Channel Estimation and Detection in MIMO Systems by Jia Yugang, Andrieu, C., Piechocki, R.J., Sandell, M.

    “…A novel Gaussian approximation based mixture reduction algorithm is proposed for semi-blind joint channel tracking and symbol detection for spatial…”
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    Journal Article
  6. 6

    Approximate inference in hidden Markov models using iterative active state selection by Vithanage, C.M., Andrieu, C., Piechocki, R.J.

    Published in IEEE signal processing letters (01-02-2006)
    “…The inferential task of computing the marginal posterior probability mass functions of state variables and pairs of consecutive state variables of a hidden…”
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    Journal Article
  7. 7

    A new stochastic spatio-temporal propagation model (SSTPM) for mobile communications with antenna arrays by Piechocki, R.J., McGeehan, J.P., Tsoulos, G.V.

    Published in IEEE transactions on communications (01-05-2001)
    “…In order to evaluate the performance of third-generation mobile communication systems, radio channel models are required. The models should be capable of…”
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    Journal Article
  8. 8

    Low-complexity smart antenna methods for third-generation W-CDMA systems by Tsoulos, G.V., Athanasiadou, G.E., Piechocki, R.J.

    Published in IEEE transactions on vehicular technology (01-11-2000)
    “…There is still an open debate within the research community regarding the likely performance enhancement of smart antennas versus their complexity for…”
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    Journal Article
  9. 9

    Tree-Based Reparameterization with Distributional Approximations for Reduced-Complexity MIMO Symbol Detection by Vithanage, C. M., Soler-Garrido, J., Andrieu, C., Piechocki, R. J.

    “…Detection of spatially multiplexed data transmissions subject to frequency flat fading is considered. Optimal decoders require knowledge of the marginal…”
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    Journal Article
  10. 10

    Expanding Window Fountain Codes for Unequal Error Protection by Sejdinovic, D., Vukobratovic, D., Doufexi, A., Senk, V., Piechocki, R.J.

    “…A novel approach to provide unequal error protection (UEP) using rateless codes over erasure channels, named Expanding Window Fountain (EWF) codes, is…”
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    Conference Proceeding
  11. 11

    Beam Alignment for Millimetre Wave Links with Motion Prediction of Autonomous Vehicles by Mavromatis, I, Tassi, A, Piechocki, RJ, Nix, A

    Published in IET Conference Proceedings (02-02-2017)
    “…Intelligent Transportation Systems (ITSs) require ultra-low end-to-end delays and multi-gigabit-per-second data transmission. Millimetre Waves (mmWaves)…”
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    Conference Proceeding
  12. 12

    The Throughput Analysis of Different IR-HARQ Schemes Based on Fountain Codes by Sejdinovic, D., Ponnampalam, V., Piechocki, R.J., Doufexi, A.

    “…In this contribution, we construct two novel IR-HARQ (automatic repeat request) schemes based on fountain codes, which combine the punctured and rateless…”
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    Conference Proceeding
  13. 13

    Fountain Coding with Decoder Side Information by Sejdinovic, D., Piechocki, R.J., Doufexi, A., Ismail, M.

    “…In this contribution, we consider the application of digital fountain (DF) codes to the problem of data transmission when side information is available at the…”
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    Conference Proceeding
  14. 14

    MIMO detection in analog VLSI by Soler-Garrido, J., Piechocki, R.J., Maharatna, K., McNamara, D.

    “…In this paper we propose an analog VLSI approach to maximum a posteriori (MAP) detection in multiple-input multiple-output (MIMO) systems. This detector can be…”
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    Conference Proceeding
  15. 15

    AND-OR tree analysis of distributed LT codes by Sejdinovic, D., Piechocki, R.J., Doufexi, A.

    “…In this contribution, we consider design of distributed LT codes, i.e., independent rateless encodings of multiple sources which communicate to a common relay,…”
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    Conference Proceeding
  16. 16

    SGA based symbol detection and EM channel estimation for MIMO systems by Yugang Jia, Andrieu, C., Piechocki, R.J., Sandell, M.

    “…This paper investigates iterative channel estimation and symbol detection for spatial multiplexing multiple input multiple output (MIMO) systems with frequency…”
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    Conference Proceeding
  17. 17

    Performance of the EP-MBCJR algorithm in time dispersive MIMO office environments by Vithanage, C.M., Andrieu, C., Piechocki, R.J., Coon, J.P.

    “…This work investigates the performance of a new reduced-complexity trellis decoding algorithm (termed the EP-MBCJR algorithm) when employed for the task of…”
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    Conference Proceeding
  18. 18

    A bootstrap multi-user detector for CDMA based on Tikhonov regularization by Kasparis, C., Piechocki, R.J., Fletcher, P.N., Nix, A.R.

    “…A novel multi-user detection (MUD) technique for CDMA systems is introduced. The new method is well suited for cases in which the code cross correlation matrix…”
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    Conference Proceeding
  19. 19

    Joint blind and semi-blind detection and channel estimation for space-time trellis coded systems by Piechocki, R.J., Andrieu, C., Nix, A.R., McGeehan, J.P.

    “…The paper considers a multiple-input multiple-output (MIMO) communication system, which uses space-time trellis coding (STTC). A novel method of decoding STTC…”
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    Conference Proceeding
  20. 20

    Semi-blind identification of wideband MIMO channels via stochastic sampling by Andrieu, C., Piechocki, R.J., McGeehan, J.P., Armour, S.M.

    “…In this paper we address the problem of wide-band multiple-input multiple-output (MIMO) channel (multidimensional time invariant FIR filter) identification…”
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    Conference Proceeding