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Overview
Although classical transforms such as the Fourier and Hadamard are discussed, this text stresses nonlinear transforms created in our generation. Contains a wide selection of transforms that provide features for pattern-recognition applications. Details the relationships and differences between transforms which are permutation-invariant for diverse groups of permutation. Includes numerous examples along with geometrical interpretation of computational efficiency.Editorials
Booknews
Classical books on signal processing introduce transforms such as the Fourier, Hadamard and Hankel, but this book takes a different approach to nonlinear transforms, that of recursive structure, which uses the notion of products of signal flow graphs--essentially a geometric rather than a numerical concept. Illustrative examples are used throughout and clear diagrams support the text. A wide range of applications is discussed. Prior familiarity with key references and concepts is suggested. Annotation c. Book News, Inc., Portland, OR (booknews.com)Book Details
Published
August 1, 1992
Publisher
Taunton, England : Research Studies Press ; c1992.
Pages
304
Format
Hardcover
ISBN
9780471936336