Information Systems and Data Compression
Information Systems and Data Compression presents a uniform approach and methodology for designing intelligent information systems. A framework for information concepts is introduced for various types of information systems such as communication systems, information storage systems and systems for simplifying structured information. The book introduces several new concepts and presents a novel interpretation of a wide range of topics in communications, information storage, and information compression. Numerous illustrations for designing information systems for compression of digital data and images are used throughout the book.
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aggregation sets algorithm array assume assumptions available information basic binary pieces buffer called channel capacity characterizing code words concept concrete conditional probability considered continuous information counterpart Data Compression decorrelating defined definition denote described in Section deterministic dimensionality reduction discrete information discussed in Section distortions entropy environment equation error exhibit statistical regularities external forms of information frequencies of occurrences function gaussian gaussian process Huffman coding information processing information recovery information source information system information transformation input interval introduced linear linear transformation matrix mean square error node noiseless signals object operation packet parameters pieces of information potential forms prefix code primary block primary information probability density probability distribution probability theory random variable recovered information recovery rule rough description scalar set of potential shown in Figure simplify spectral components spectral representation spectrum statistical information statistically independent subsystem superior system transmission transmitter values vector information volume