This volume begins with a presentation of Fourier transform and then describes its failures for transient signal processing. It presents local time-frequency methods and the related mathematical tools. The book uses an intuitive approach to important mathematical results, and emphasizes practical applications rather than proofs. It describes numerical discreet algorithms as well as some applications to information processing, fractal analysis, noise removal, and compact signal coding. This work is intended for signal processing engineers who want to discover the potential applications of recent mathematical advances in time-frequency signal representations. Also of interest to researchers in applied mathematics, the book highlights the applications of these new techniques and also provides an overview of signal processing problems.
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"Mallat has not only written a treatise, but also an excellent graduate text for students in computer science, electrical engineering, and mathematics" - John J. Benedetto, SIAM review -- John J. Benedetto, SIAM reviewAbout the Author:
Stephane Mallat is a Professor in the Computer Science Department of the Courant Institute of Mathematical Sciences at New York University,and a Professor in the Applied Mathematics Department at ccole Polytechnique, Paris, France. He has been a visiting professor in the ElectricalEngineering Department at Massachusetts Institute of Technology and in the Applied Mathematics Department at the University of Tel Aviv. Dr. Mallat received the 1990 IEEE Signal Processing Society's paper award, the 1993 Alfred Sloan fellowship in Mathematics, the 1997Outstanding Achievement Award from the SPIE Optical Engineering Society, and the 1997 Blaise Pascal Prize in applied mathematics, from theFrench Academy of Sciences.
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Book Description Academic Press, 1998. Hardcover. Book Condition: New. Bookseller Inventory # DADAX0124666051
Book Description Academic Press, 1998. Hardcover. Book Condition: New. book. Bookseller Inventory # 0124666051