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 average basic binary pieces brieﬂy buffer called channel characterizing charmel code words concept concrete conditional probability considered continuous information correlation coefﬁcients counterpart Data Compression decision decorrelating deﬁned deﬁnition denote described in Section deterministic diagram dimensionality reduction discrete information discussed in Section distortions entropy environment equation error exhibit statistical regularities extemal ﬁnd ﬁrst ﬁxed forms of information frequencies of occurrences function fundamental gaussian gaussian process identiﬁer information processing information source information system information transformation interval introduced linear linear transformation marginal probabilities matrix mean square error node noiseless signals operation parameters pieces of information potential forms primary block primary information probability distribution probability theory properties prototype quantization random variable recovered information recovery rule rough description scalar set of potential shown in Figure speciﬁc spectral components spectrum statistically independent structured information subsystem superior system train transmission transmitter values vector information vector quantization volume