LOW COMPLEXITY TARGET VECTOR IDENTIFICATION
    1.
    发明公开
    LOW COMPLEXITY TARGET VECTOR IDENTIFICATION 审中-公开
    集中的目标矢量低复杂度的识别

    公开(公告)号:EP2643833A4

    公开(公告)日:2014-06-04

    申请号:EP10860073

    申请日:2010-11-26

    申请人: NOKIA CORP

    摘要: It is inter alia disclosed to identify one or more target vectors from a plurality of candidate vectors, each candidate vector having sorted elements and being associated with a respective class of one or more code vectors of a codebook and at least one of the candidate vectors being associated with a respective class of two or more code vectors that comprise the respective candidate vector and at least one code vector obtainable from the respective candidate vector by one of permutation and signed permutation, the target vectors having, among all candidate vectors of the plurality of candidate vectors, smallest distances towards a at least sorted representation of an input vector. The identifying comprises checking, for a candidate vector of the plurality of candidate vectors, at least based on a distance between the candidate vector and a reference vector and on a distance between the reference vector and the at least sorted representation of the input vector, if a distance between the at least sorted representation of the input vector and the candidate vector is larger than a distance between the at least sorted representation of the input vector and the reference vector. The identifying further comprises computing, for the candidate vector, the distance between the at least sorted representation of the input vector and the candidate vector only if the checking yields a negative result.