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MAP criterion trellis source coding for short data sequences

Eriksson, Tomas (author)
Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
Novak, Mirek (author)
Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
Anderson, John B (author)
Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
 (creator_code:org_t)
2003
2003
English 10 s.
In: Proc., IEEE Data Compression Conf., Snowbird, UT. - 0769518966 ; , s. 43-52
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • New trellis constructions for compression of short data sequences are presented. Traditional low rate trellis source coding suffers from having a too small a reproduction alphabet. Governed by alphabet-constrained rate-distortion theory we propose a simple method which for a source coding rate of 1 bit per sample allows 2n reconstruction values for a trellis with 2n states. The proposed method is based on the maximum a posteriori probability criterion distortion measure and it employs tailbiting. Simulation results are compared to TCQ-like methods.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)

Keyword

minimum mean squared error
short data sequence
tail-biting BCJR algorithm
trellis coded quantization
TCQ-like method
alphabet-constrained rate-distortion theory
lossy source coding
data compression
trellis source coding
MAP criterion
maximum a posteriori
VA
tailbiting
Viterbi algorithm
MMSE

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Eriksson, Tomas
Novak, Mirek
Anderson, John B
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ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Electrical Engin ...
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Proc., IEEE Data ...
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Lund University

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