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An Efficient Algorithm For The Inverse ST Problem
Snowbird, Utah March 27-March 29
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DCC.2007.112007 Data Compression Conference (DCC ...
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Ge Nong, Sen Zhang, "An Efficient Algorithm For The Inverse ST Problem," Data Compression Conference, pp. 397, 2007 Data Compression Conference (DCC'07), 2007.
 
 
BibTex
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@article{ 10.1109/DCC.2007.11,
author = {Ge Nong and Sen Zhang},
title = {An Efficient Algorithm For The Inverse ST Problem},
journal ={Data Compression Conference},
volume = {0},
year = {2007},
issn = {1068-0314},
pages = {397},
doi = {http://doi.ieeecomputersociety.org/10.1109/DCC.2007.11},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Data Compression Conference
TI - An Efficient Algorithm For The Inverse ST Problem
SN - 1068-0314
SP
EP
A1 - Ge Nong,
A1 - Sen Zhang,
PY - 2007
KW - null
VL - 0
JA - Data Compression Conference
ER -
 
Ge Nong, Sun Yat-Sen University, PRC
Sen Zhang, SUNY College at Oneonta, USA
The Schindler Transform (ST) [1] can speed up the block sorting phase of the Burrows- Wheeler Transform (BWT) by limiting the context sorting to the first k (k ?? [0,N], where N is the length of the text) positions only. Under the ST?fs partial sorting scheme, if two rows share the exactly same k-order context, they may not be ordered alphabetically; instead, the relative order between them in the original matrix is preserved in the transformed matrix.
Citation:
Ge Nong, Sen Zhang, "An Efficient Algorithm For The Inverse ST Problem," dcc, pp.397, 2007 Data Compression Conference (DCC'07), 2007
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