The Burrows-Wheeler Transform: Data Compression, Suffix Arrays, and Pattern Matching

Description

The Burrows-Wheeler Transform is a text transformation scheme that has found applications in different aspects of the data explosion problem, from data compression to index structures and search. The BWT belongs to a new class of compression algorithms, distinguished by its ability to perform compression by sorted contexts. More recently, the BWT has also found various applications in addition to text data compression, such as in lossless and lossy image compression, tree-source identification, bioinformatics, machine translation, shape matching, and test data compression.This book will serve as a reference for seasoned professionals or researchers in the area, while providing a gentle introduction, making it accessible for senior undergraduate students or first year graduate students embarking upon research in compression, pattern matching, full text retrieval, compressed index structures, or other areas related to the BWT.Key FeaturesComprehensive resource for information related to different aspects of the Burrows-Wheeler Transform including:Gentle introduction to the BWTHistory of the development of the BWTDetailed theoretical analysis of algorithmic issues and performance limitsSearching on BWT compressed dataHardware architectures for the BWTExplores non-traditional applications of the BWT in areas such as:BioinformaticsJoint source-channel codingModern information retrievalMachine translationTest data compression for systems-on-chipTeaching materials ideal for classroom use on courses in:Data Compression and Source CodingModern Information RetrievalInformation ScienceDigital Libraries