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Title: Wavelet Methods for Time Series Analysis by Donald B. Percival, Andrew T. Walden ISBN: 0-521-64068-7 Publisher: Cambridge University Press Pub. Date: October, 2000 Format: Hardcover Volumes: 1 List Price(USD): $70.00

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Average Customer Rating: 4.4 (5 reviews)

Rating: 3
Summary: Well written.
Comment: Well written book. It would be nice to have some "MatLab" problems. Excellent motivational or explanatory examples.

I gave it three stars because most reviewers are far to liberal with their stars. To me 3 stars means worth buying, 4 means a must buy, and 5 means it'll be a classic for a long time.

I equate this book to Mallet's "A Wavelet Tour of Signal Processing". The subject matter is slightly different, but both are very readable.

Rating: 5
Summary: Reference for time series analysts using wavelets
Comment: Few wavelet books offer such a deep insight into wavelet methods
for time series analysts. It goes very deep within the applied
side of wavelet analysis on real time series while not compromising
the mathematical side. A lot of books and papers insist too much
on the mathematical side of wavelets while this one provides just
the right balance between rigor and practical insight. If your
interest does not lie in maths but just in wavelets as a tool,
stick to this one.

As a bonus, it contains a lot of exercices along with answers
at the end of the book...a very good textbook indeed...

Rating: 5
Summary: First rate all the way
Comment: As far as I am concerned,anything Don Percival writes about the topic of wavelets - or digital signal processing - is well worth reading. I was struggling to understand wavelets before I ran across a paper by Percival (and cohorts from the University of Washington) on interpreting remote sensing sea ice data using wavelets. After reading the very clear and compact description of wavelet analysis the light bulb clicked on for me. This book is a must read for anyone interested in wavelets from beginners to experienced practicioners.

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