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2007 Data Compression Conference (DCC'07)
Snowbird, Utah
March 27-March 29
ISBN: 0-7695-2791-4
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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