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Turbo-Detected Unequal Error Protection Irregular Convolutional Codes Designed for the Wideband Advanced Multirate Speech Codec

Wang, J., Othman, N.S., Kliewer, J., Yang, L-L. and Hanzo, L. (2005) Turbo-Detected Unequal Error Protection Irregular Convolutional Codes Designed for the Wideband Advanced Multirate Speech Codec At IEEE VTC'05 (Fall), United States. 25 - 28 Sep 2005. , pp. 927-931.

Record type: Conference or Workshop Item (Paper)


Abstract—since the different bits of multimedia information, such as speech and video, have different error sensitivity, efficient unequalprotection channel coding schemes have to be used to ensure that the perceptually more important bits benefit from more powerful protection. Furthermore, in the context of turbo detection the channel codes should also match the characteristics of the channel for the sake of attaining a good convergence performance. In this paper, we address this design dilemma by using irregular convolutional codes (IRCCs) which constitute a family of different-rate subcodes. we benefit from the high design flexibility of IRCCs and hence excellent convergence properties are maintained while having unequal error protection capabilities matched to the requirements of the source. An EXIT chart based design procedure is proposed and used in the context of protecting the different-sensitivity speech bits of the wideband AMR speech codec. As a benefit, the unequalprotection system using IRCCs exhibits an SNR advantage of about 0.4dB over the equal-protection system employing regular convolutional codes, when communicating over a Gaussian channel.

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Published date: 2005
Additional Information: Event Dates: 25-28 September 2005
Venue - Dates: IEEE VTC'05 (Fall), United States, 2005-09-25 - 2005-09-28
Organisations: Southampton Wireless Group


Local EPrints ID: 261484
PURE UUID: 95bc76bb-50fa-4a04-b5d3-5ef5d7fc480c
ORCID for L-L. Yang: ORCID iD

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Date deposited: 17 Oct 2005
Last modified: 18 Jul 2017 09:02

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Author: J. Wang
Author: N.S. Othman
Author: J. Kliewer
Author: L-L. Yang ORCID iD
Author: L. Hanzo

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