Pre-processing of convolutional codes for reducing decoding power consumption

Wei Shao; Linda Brackenbury

doi:10.1109/ICASSP.2008.4518270

Pre-processing of convolutional codes for reducing decoding power consumption

Wei Shao
, Linda Brackenbury

Research output: Chapter in Book/Conference proceeding › Conference contribution

Abstract

This paper presents a new pre-processing approach for convolutional codes that can provide the adaptive capability to a standard Viterbi decoder. By identifying and generating the decoded data from the zero Hamming distance path, all computations in the Viterbi decoder can be avoided. This makes it possible to stop the Viterbi decoder in real time as long as no error occurs in the received code words; the Viterbi decoder is restarted to correct errors otherwise. With this approach, significant power, i.e. 97% of a standard Viterbi decoder power dissipation, can be saved when the Eb/No is as low as 13dB. ©2008 IEEE.

Original language	English
Title of host publication	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings\|ICASSP IEEE Int Conf Acoust Speech Signal Process Proc
Publisher	IEEE
Pages	2957-2960
Number of pages	3
ISBN (Print)	1424414849, 9781424414840
DOIs	https://doi.org/10.1109/ICASSP.2008.4518270
Publication status	Published - 2008
Event	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV Duration: 1 Jul 2008 → …

Conference

Conference	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
City	Las Vegas, NV
Period	1/07/08 → …

Keywords

Adaptive decoding algorithm
Convolutional coding
Pre-decoding

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10.1109/ICASSP.2008.4518270

Cite this

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title = "Pre-processing of convolutional codes for reducing decoding power consumption",

abstract = "This paper presents a new pre-processing approach for convolutional codes that can provide the adaptive capability to a standard Viterbi decoder. By identifying and generating the decoded data from the zero Hamming distance path, all computations in the Viterbi decoder can be avoided. This makes it possible to stop the Viterbi decoder in real time as long as no error occurs in the received code words; the Viterbi decoder is restarted to correct errors otherwise. With this approach, significant power, i.e. 97\% of a standard Viterbi decoder power dissipation, can be saved when the Eb/No is as low as 13dB. {\textcopyright}2008 IEEE.",

keywords = "Adaptive decoding algorithm, Convolutional coding, Pre-decoding",

author = "Wei Shao and Linda Brackenbury",

note = "Shao, Wei Brackenbury, Linda 3 NEW YORK BHY47; 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP ; Conference date: 01-07-2008",

year = "2008",

doi = "10.1109/ICASSP.2008.4518270",

language = "English",

isbn = "1424414849",

pages = "2957--2960",

booktitle = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings|ICASSP IEEE Int Conf Acoust Speech Signal Process Proc",

publisher = "IEEE",

address = "United States",

}

Shao, W & Brackenbury, L 2008, Pre-processing of convolutional codes for reducing decoding power consumption. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings|ICASSP IEEE Int Conf Acoust Speech Signal Process Proc. IEEE, pp. 2957-2960, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Las Vegas, NV, 1/07/08. https://doi.org/10.1109/ICASSP.2008.4518270

Pre-processing of convolutional codes for reducing decoding power consumption. / Shao, Wei; Brackenbury, Linda.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings|ICASSP IEEE Int Conf Acoust Speech Signal Process Proc. IEEE, 2008. p. 2957-2960.

Research output: Chapter in Book/Conference proceeding › Conference contribution

TY - GEN

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AU - Brackenbury, Linda

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N2 - This paper presents a new pre-processing approach for convolutional codes that can provide the adaptive capability to a standard Viterbi decoder. By identifying and generating the decoded data from the zero Hamming distance path, all computations in the Viterbi decoder can be avoided. This makes it possible to stop the Viterbi decoder in real time as long as no error occurs in the received code words; the Viterbi decoder is restarted to correct errors otherwise. With this approach, significant power, i.e. 97% of a standard Viterbi decoder power dissipation, can be saved when the Eb/No is as low as 13dB. ©2008 IEEE.

AB - This paper presents a new pre-processing approach for convolutional codes that can provide the adaptive capability to a standard Viterbi decoder. By identifying and generating the decoded data from the zero Hamming distance path, all computations in the Viterbi decoder can be avoided. This makes it possible to stop the Viterbi decoder in real time as long as no error occurs in the received code words; the Viterbi decoder is restarted to correct errors otherwise. With this approach, significant power, i.e. 97% of a standard Viterbi decoder power dissipation, can be saved when the Eb/No is as low as 13dB. ©2008 IEEE.

KW - Adaptive decoding algorithm

KW - Convolutional coding

KW - Pre-decoding

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M3 - Conference contribution

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SN - 9781424414840

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BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings|ICASSP IEEE Int Conf Acoust Speech Signal Process Proc

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T2 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP

Y2 - 1 July 2008

ER -

Pre-processing of convolutional codes for reducing decoding power consumption

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Keywords

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