How good is your index assignment?

  • Authors:

  • Petter Knagenhjelm

  • Affiliations:

  • Department of Information Theory, Chalmers University of Technology, Gothenburg, Sweden

  • Venue:
  • ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
  • Year:
  • 1993

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Abstract

Due to channel errors, index assignment is an important part of a VQ design. In this paper it is shown that if the VQ is regarded as a transform of the hyper cube spanned by the code words, the optimal index assignment for a full entropy encoder is the assignment that yields the most linear transform of the hyper cube. Two fast and reliable methods of evaluating the inherent structure of a robust VQ without explicit knowledge about the training or the source, is presented. The validity of the linearity measurement for encoders without full entropy is discussed. The significance of the measurements is demonstrated on VQs trained on speech and on synthetic sources.