Search Results - "Au, E.K.S."

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  1. 1

    On the Performance of the MIMO Zero-Forcing Receiver in the Presence of Channel Estimation Error by Cheng Wang, Au, E.K.S., Murch, R.D., Wai Ho Mow, Cheng, R.S., Lau, V.

    “…By employing spatial multiplexing, multiple-input multiple-output (MIMO) wireless antenna systems provide increases in capacity without the need for additional…”
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    Journal Article
  2. 2

    Analytical Performance of MIMO-SVD Systems in Ricean Fading Channels with Channel Estimation Error and Feedback Delay by Au, E.K.S., Shi Jin, McKay, M.R., Wai Ho Mow, Xiqi Gao, Collings, I.B.

    “…This paper analyzes bit error rate (BER) and outage probability of singular value decomposition-based multiple-input multiple-output systems with channel…”
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    Journal Article
  3. 3

    Effect of Carrier Frequency Offset on Channel Estimation for SISO/MIMO-OFDM Systems by Weng, L., Au, E.K.S., Chan, P.W.C., Murch, R.D., Cheng, R.S., Wai Ho Mow, Lau, V.K.N.

    “…Few works have addressed the effect of CFO (carrier frequency offset) on channel estimation performance. In this paper, compact analytical expressions on the…”
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    Journal Article
  4. 4

    Precoder Design for Space-Time Coded MIMO Systems with Imperfect Channel State Information by Huang, J.W., Au, E.K.S., Lau, V.K.N.

    “…We address the problem of designing a linear precoder for space-time coded multiple-input multiple-output (MIMO) system with imperfect knowledge of channel…”
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    Journal Article
  5. 5

    Adaptive MIMO Multichannel Beamforming with Cochannel Interference and Noise: Algorithm and Performance Analysis by Liang Sun, Au, E.K.S., McKay, M.R.

    Published in IEEE transactions on vehicular technology (01-10-2009)
    “…We propose a novel low-complexity adaptive transmission scheme for multiple-input-multiple-output (MIMO) multichannel beamforming systems in the presence of…”
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    Journal Article
  6. 6

    On Accelerating the Computation of Weight Enumerators for Convolutional Codes by Au, E.K.S., Wai Ho Mow

    “…The input-output weight enumerator of a convolutional code characterizes the distance spectrum and allows error probability bounds to be conveniently…”
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    Journal Article
  7. 7

    Error probability for MIMO zero-forcing receiver with adaptive power allocation in the presence of imperfect channel state information by Au, E.K.S., Cheng Wang, Sfar, S., Murch, R.D., Wai Ho Mow, Lau, V.K.N., Cheng, R.S., Letaief, K.B.

    “…Link adaptation allows the transmitter to adapt to changing channel conditions. Critical to the design of link adaptation is the accuracy of channel state…”
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    Journal Article
  8. 8

    Linear Precoding for MIMO Channels with Outdated Channel State Information in Multiuser Space-Time Block Coded Systems with Multi-Packet Reception by Au, E.K.S., Huang, J.W., Lau, V.K.N.

    “…We propose a joint set of linear precoder designs for single cell uplink multiuser space-time block coded multiple- input multiple-output systems with…”
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    Journal Article
  9. 9

    A switched-current sensing architecture for a four-state per cell magnetic tunnel junction MRAM by Au, E.K.S., Wing-Hung Ki, Wai Ho Mow, Hung, S.T., Wong, C.Y.

    “…A current-mode binary-search sensing scheme for a four-state per cell one-transistor one-magnetic tunnel junction magneto-resistive (MR) random access memory…”
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    Journal Article
  10. 10

    A novel current-mode sensing scheme for magnetic tunnel junction MRAM by Au, E.K.S., Wing-Hung Ki, Wai Ho Mow, Hung, S.T., Wong, C.Y.

    Published in IEEE transactions on magnetics (01-03-2004)
    “…In this paper, we present two integrated circuits for sensing data nondestructively from one-transistor one-magnetic tunnel junction (1T-1MTJ) magnetoresistive…”
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    Journal Article
  11. 11

    A Novel Threshold-Based Coherent TOA Estimation for IR-UWB Systems by Xu, A.Y.-Z., Au, E.K.S., Wong, A.K.-S., Qin Wang

    Published in IEEE transactions on vehicular technology (01-10-2009)
    “…Precise time-of-arrival (TOA) estimation is challenging in dense multipath environments because the leading-edge path of a received signal may not be the…”
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    Journal Article
  12. 12
  13. 13

    Effect of Non-Linearity on the Performance of a MIMO Zero-Forcing Receiver with Channel Estimation Errors by Au, E.K.S., Wai Ho Mow

    “…Non-linear amplitude distortion may be the key impairment in some practical multiple-input multiple-output (MIMO) communications systems. However, there are…”
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    Conference Proceeding
  14. 14

    Linear Precoder and Equalizer Design for Uplink Multiuser MIMO Systems with Imperfect Channel State Information by Huang, J.W., Au, E.K.S., Lau, V.K.N.

    “…This paper considers a joint design of linear precoders and equalizers for uplink multiuser multiple-input multiple-output communications systems over…”
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    Conference Proceeding
  15. 15

    BER Analysis of MIMO-SVD Systems with Channel Estimation Error and Feedback Delay by Au, E.K.S., Shi Jin, McKay, M.R., Mow, W.H., Xiqi Gao, Collings, I.B.

    “…This paper analyzes the average bit error rate (BER) performance of singular value decomposition-based multiple-input multiple-output systems with channel…”
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    Conference Proceeding
  16. 16

    A modified state reduction algorithm for computing weight enumerators for convolutional codes by Au, E.K.S., Wai Ho Mow

    “…The weight enumerator of a convolutional code is an important function that characterizes the codeword distance distribution and allows the error probability…”
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    Conference Proceeding
  17. 17

    Exact Bit Error Rate for SVD-based MIMO systems with Channel Estimation Errors by Au, E.K.S., Wai Ho Mow

    “…We derive exact closed-form expressions on the bit error rate (BER) for the singular value decomposition (SVD)-based multiple-input multiple-output (MIMO)…”
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    Conference Proceeding
  18. 18

    High-sensitivity switched-current sensing circuit for magnetic tunnel junction MRAM by Au, E.K.S., Wing-Hung Ki, Wai Ho Mow, Hung, S.T., Wong, C.Y.

    “…A high-sensitivity switched-current sensing circuit for reading data non-destructively from 1T-1MTJ magneto-resistive random access memory (MRAM) is presented…”
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    Conference Proceeding
  19. 19

    Impacts of CFO, IQ imbalance and phase noise on the system performance in OFDM systems by Rong Zhang, Au, E.K.S., Cheng, R.S.

    “…OFDM systems are sensitive to front-end imperfections including CFO, IQ imbalance and phase noise. In practice, these imperfections are inevitable and would…”
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    Conference Proceeding
  20. 20

    A three-stage cross correlation-based timing synchronization algorithm for MB-OFDM UWB systems by Lu Zhang, Au, E.K.S., Lau, V.K.N.

    “…We propose a three-stage cross correlation-based timing synchronization algorithm for multiband-OFDM UWB systems. By utilizing the time-domain base sequence of…”
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    Conference Proceeding