Search Results - "Mow, W.H."

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  1. 1

    Adaptive Resource Allocation and Capacity Comparison of Downlink Multiuser MIMO-MC-CDMA and MIMO-OFDMA by Lo, E.S., Chan, P.W.C., Lau, V.K.N., Cheng, R.S., Letaief, K.B., Murch, R.D., Mow, W.H.

    “…In this paper, we examine and compare the potential maximum sum capacity of downlink multiple-input-multiple-output orthogonal frequency division multiple…”
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    Journal Article
  2. 2

    On optimal training sequence design for multiple-antenna systems over dispersive fading channels and its extensions by Fan, P., Mow, W.H.

    Published in IEEE transactions on vehicular technology (01-09-2004)
    “…In this correspondence, previous work on (P,V,M) code sequences, which are sequences with a zero-correlation zone (ZCZ) that can be used to accurately and…”
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    Journal Article
  3. 3

    Near maximum likelihood detection schemes for wireless MIMO systems by Ho-Yin Fan, J., Murch, R.D., Wai Ho Mow

    “…In this letter, we propose two near maximum-likelihood detection (MLD) schemes for multiple input-multiple output antenna systems over flat fading channels…”
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    Journal Article
  4. 4

    Realizing Wireless Cooperative Communications with the One-Bit Soft Forwarding Technique by Gao Yang Dai, Mow, W.H.

    “…To improve the efficiency and simplify the complexity of the relay in cooperative communication systems, an one-bit soft forwarding (SF) scheme is proposed to…”
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    Conference Proceeding
  5. 5

    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
  6. 6

    Even-odd transformation with application to multiuser CW radars by Mow, W.H.

    “…An even odd transformation is a linear phase transformation which translates a set of sequences into another set, all of whose absolute even (also called…”
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    Journal Article
  7. 7

    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
  8. 8

    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
  9. 9

    Fast decoding of the hexagonal lattice with applications to power efficient multi-level modulation systems by Mow, W.H.

    “…The hexagonal lattice is important for many signal processing problems in 2-D space. In particular, it was known in the early 60's that the lattice is…”
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    Conference Proceeding
  10. 10

    Robust Turbo Equalizer Schemes Against SNR Mismatch by Li Qiang, Mow, W.H., Shaoqian Li

    “…We present a robust algorithm to SNR mismatch for turbo equalizer, which is called the scaled max-log-MAP (SMLM) algorithm. For low and moderate loss channel,…”
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    Conference Proceeding
  11. 11

    Index assignment for scalar quantization with M-ary phase shift keying by Chan, H.Y., Mow, W.H., Leung, C.S.

    “…This paper studies the problem of non-binary index assignment for scalar quantizer with M-ary phase shift keying (M-PSK). An interesting observation enables us…”
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    Conference Proceeding
  12. 12

    Maximum likelihood sequence estimation from the lattice viewpoint by Mow, W.H.

    “…The conventional maximum likelihood sequence estimator using the Viterbi algorithm has a time complexity of O(m/sup nu +1/) operations per symbol and a space…”
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    Conference Proceeding
  13. 13

    Space-time coded vector quantization for wireless MIMO channels by Chan, H., Leung, C.S., Mow, W.H.

    “…Data transmission using self-organizing feature map (SOFM) based vector quantizer (VQ) and channel optimized vector quantizer (COVQ) with various space-time…”
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    Conference Proceeding
  14. 14

    Aperiodic autocorrelation properties of perfect polyphase sequences by Mow, W.H., Li, S.-Y.R.

    “…Perfect polyphase sequences find applications in radar and synchronisation systems. The authors compute exactly the asymptotic (N to infinity )…”
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    Conference Proceeding