article · 2016

Multiple description vector quantizer design based on redundant representation of central code

Cited by 1Abstract and details only

Abstract

A design method of a multiple description vector quantizer (VQ) is proposed. VQ is widely used for data compression, transmission and other processing. Here, we assume transmission channels with data erasure such as a packet-based network. Multiple description coding is a coding method used to achieve “graceful degradation” when transmitting signals through lossy channels. The proposed method is inspired by the vector quantizer design of Poggi et al., which combines VQ design based on the self-organizing map (SOM) and the multiple description scalar quantizer (MDSQ). The method also uses the SOM-based VQ; the difference is that the proposed method combines a bit-error-tolerant VQ designed by SOM and a novel scheme for cell arrangement of SOM based on Redundant Representation of Central Code (RRCC). The method is not only easy to design for any bit rate but is also more robust against data erasure compared with the conventional VQ.

Cite this paper

APA 7

Ito, A. (2016). Multiple description vector quantizer design based on redundant representation of central code. https://doi.org/10.1109/eusipco.2016.7760219

MLA 9

Ito, Akinori. “Multiple description vector quantizer design based on redundant representation of central code.” vol. 6, 2016, pp. 106–09, https://doi.org/10.1109/eusipco.2016.7760219.

Chicago

Ito, Akinori. 2016. “Multiple description vector quantizer design based on redundant representation of central code.” https://doi.org/10.1109/eusipco.2016.7760219.

Harvard

Ito, A. (2016) ‘Multiple description vector quantizer design based on redundant representation of central code’. Available at: https://doi.org/10.1109/eusipco.2016.7760219.

BibTeX

@article{ito2016multiple,
  title = {{Multiple description vector quantizer design based on redundant representation of central code}},
  author = {Ito, Akinori},
  volume = {6},
  pages = {106--109},
  year = {2016},
  doi = {10.1109/eusipco.2016.7760219}
}

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