Lattice labeling algorithms for vector quantization

被引:4
|
作者
Wang, C [1 ]
Cao, HQ [1 ]
Li, WP [1 ]
Tzeng, KK [1 ]
机构
[1] Lehigh Univ, Dept Comp Sci & Elect Engn, Bethlehem, PA 18015 USA
基金
美国国家科学基金会;
关键词
Construction-A; Construction-B; decoding; encoding; labeling; lattice; lattice vector quantization; linear block code; vector quantization;
D O I
10.1109/76.664105
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Labeling algorithms for Construction-A and Construction-B lattices with respect to pyramid boundaries are presented, The algorithms are developed based on relations between lattices and linear block codes as well as on transformations among several specifically defined lattices and their translations, The mechanism for the construction of these algorithms can be considered as an extension of that given by Fischer, The algorithms are noted to achieve 100% efficiency in utilizing index bits for binary representations. Furthermore, it is determined that many important lattices (E-8, Lambda(16),...) san be indexed to arbitrary norms and dimensions, The complexity of these algorithms in terms of both memory and computation is quite. low and thus it is possible to develop practical lattice vector quantizers of large norms and high dimensions using these algorithms.
引用
收藏
页码:206 / 220
页数:15
相关论文
共 50 条
  • [1] 2-STAGE VECTOR QUANTIZATION LATTICE-VECTOR QUANTIZATION
    PAN, JP
    FISCHER, TR
    IEEE TRANSACTIONS ON INFORMATION THEORY, 1995, 41 (01) : 155 - 163
  • [2] Extension of two-stage vector quantization-lattice vector quantization
    Pan, JP
    IEEE TRANSACTIONS ON COMMUNICATIONS, 1997, 45 (12) : 1538 - 1547
  • [3] Results on lattice vector quantization with dithering
    Kirac, A
    Vaidyanathan, PP
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROCESSING, 1996, 43 (12): : 811 - 826
  • [4] Multiple description lattice vector quantization
    Servetto, SD
    Vaishampayan, VA
    Sloane, NJA
    DCC '99 - DATA COMPRESSION CONFERENCE, PROCEEDINGS, 1999, : 13 - 22
  • [5] Successive refinement lattice vector quantization
    Mukherjee, D
    Mitra, SK
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2002, 11 (12) : 1337 - 1348
  • [6] Bagging and AdaBoost algorithms for vector quantization
    Shigei, Noritaka
    Miyajima, Hiromi
    Maeda, Michiharu
    Ma, Lixin
    NEUROCOMPUTING, 2009, 73 (1-3) : 106 - 114
  • [7] Learning algorithms with boosting for Vector Quantization
    Miyajima, Hiromi
    Shigei, Noritaka
    Maeda, Michiharu
    Hosoda, Shuji
    2008 3RD INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS, CONTROL AND SIGNAL PROCESSING, VOLS 1-3, 2008, : 352 - 356
  • [8] COMPETITIVE LEARNING ALGORITHMS FOR VECTOR QUANTIZATION
    AHALT, SC
    KRISHNAMURTHY, AK
    CHEN, PK
    MELTON, DE
    NEURAL NETWORKS, 1990, 3 (03) : 277 - 290
  • [9] Fast clustering algorithms for vector quantization
    Pan, JS
    McInnes, FR
    Jack, MA
    PATTERN RECOGNITION, 1996, 29 (03) : 511 - 518
  • [10] Fuzzy algorithms for learning vector quantization
    Karayiannis, NB
    Pai, PI
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 1996, 7 (05): : 1196 - 1211