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[Author] Guojun LI(4hit)

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  • The Shift-and-Add Property of m-Sequences

    Fanxin ZENG  Lijia GE  Xiping HE  Guixin XUAN  Guojun LI  Zhenyu ZHANG  Yanni PENG  Linjie QIAN  Sheng LU  

     
    LETTER-Information Theory

      Vol:
    E102-A No:4
      Page(s):
    685-690

    The shift-and-add property (SAP) of a p-ary m-sequence {ak} with period N=pn-1 means that this sequence satisfies the equation {ak+η}+{ak+τ}={ak+λ} for some integers η, τ and λ. For an arbitrarily-given p-ary m-sequence {ak}, we develop an algebraic approach to determine the integer λ for the arbitrarily-given integers η and τ. And all trinomials can be given. Our calculation only depends on the reciprocal polynomial of the primitive polynomial which produces the given m-sequence {ak}, and the cyclotomic cosets mod pn-1.

  • Optimal Mutually Orthogonal ZCZ Polyphase Sequence Sets

    Fanxin ZENG  Xiping HE  Guixin XUAN  Wenchao ZHANG  Guojun LI  Zhenyu ZHANG  Yanni PENG  Sheng LU  Li YAN  

     
    LETTER-Information Theory

      Vol:
    E101-A No:10
      Page(s):
    1713-1718

    In an approximately synchronized (AS) code-division multiple-access (CDMA) communication system, zero correlation zone (ZCZ) sequences can be used as its spreading sequences so that the system suppresses multiple access interference (MAI) and multi-path interference (MPI) fully and synchronously. In this letter, the mutually orthogonal (MO) ZCZ polyphase sequence sets proposed by one of the authors are improved, and the resultant ZCZ sequences in each set arrive at the theoretical bound regarding ZCZ sequences under some conditions. Therefore, the improved MO ZCZ sequence sets are optimal.

  • Extended CRC: Face Recognition with a Single Training Image per Person via Intraclass Variant Dictionary

    Guojun LIN  Mei XIE  Ling MAO  

     
    LETTER-Image Recognition, Computer Vision

      Vol:
    E96-D No:10
      Page(s):
    2290-2293

    For face recognition with a single training image per person, Collaborative Representation based Classification (CRC) has significantly less complexity than Extended Sparse Representation based Classification (ESRC). However, CRC gets lower recognition rates than ESRC. In order to combine the advantages of CRC and ESRC, we propose Extended Collaborative Representation based Classification (ECRC) for face recognition with a single training image per person. ECRC constructs an auxiliary intraclass variant dictionary to represent the possible variation between the testing and training images. Experimental results show that ECRC outperforms the compared methods in terms of both high recognition rates and low computation complexity.

  • More General QAM Complementary Sequences

    Fanxin ZENG  Xiping HE  Guojun LI  Guixin XUAN  Zhenyu ZHANG  Yanni PENG  Sheng LU  Li YAN  

     
    LETTER-Information Theory

      Vol:
    E101-A No:12
      Page(s):
    2409-2414

    This paper improves the family size of quadrature amplitude modulation (QAM) complementary sequences with binary inputs. By employing new mathematical description: B-type-2 of 4q-QAM constellation (integer q ≥ 2), a new construction yielding 4q-QAM complementary sequences (CSs) with length 2m (integer m ≥ 2) is developed. The resultant sequences include the known QAM CSs with binary inputs as special cases, and the family sizes of new sequences are approximately 22·2q-4q-1(22·2q-3-1) times as many as the known. Also, both new sequences and the known have the same the peak envelope power (PEP) upper bounds, when they are used in an orthogonal frequency-division multiplexing communication system.