Methods to Accelerate a Competitive Learning Algorithm Applied to VQ Codebook Desing

Authors

  • E. L. Bispo Junior
  • C. R. B. Azevedo
  • W. T. A. Lopes
  • M. S. Alencar
  • F. Madeiro

DOI:

https://doi.org/10.5540/tema.2010.011.03.0193

Abstract

Abstract. Codebook design plays a crucial role in the performance of signal pro-cessing systems based on vector quantization (VQ). This paper is concerned with methods for reducing the processing time spent by a competitive learning (CL) algorithm applied to VQ codebook design. Using analytical expressions for the number of operations (multiplications, additions, subtractions and comparisons) performed by the CL algorithm, it is shown that almost all the operations are due to the nearest neighbor search (NNS). Simulation results regarding image VQ show that simple modifications introduced in CL lead to considerable number clock cyclessavings.

References

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Published

2010-06-01

How to Cite

Junior, E. L. B., Azevedo, C. R. B., Lopes, W. T. A., Alencar, M. S., & Madeiro, F. (2010). Methods to Accelerate a Competitive Learning Algorithm Applied to VQ Codebook Desing. Trends in Computational and Applied Mathematics, 11(3), 193–203. https://doi.org/10.5540/tema.2010.011.03.0193

Issue

Vol. 11 No. 3 (2010)

Section

Original Article

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