Wavelet Methods for Time Series Analysis

Rating:
Summary: First rate all the way
Review: 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.

Rating:
Summary: Reference for time series analysts using wavelets
Review: 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:
Summary: introduction to wavelets for time series applications
Review: The purpose of this text is to introduce wavelet methodology targeted toward applications in time series analysis. Emphasis is placed on the discrete wavelet transform and other discrete wavelets. There are many analogies to the spectral analysis of time series that the authors make. The authors do not assume knowledge of Fourier analysis and cover the relevent theory in Chapter 2. Just as the frequency domain methods decompose the variance of a time series into frequency components so to do wavelets decompose the variance according to scales. The authors take great pains in demonstrating this with several wavelets including the DWT and MODWT. Fast transform methods exist for wavelets as well as for Fourier series and they are apparently even simpler and faster for wavelets.

The text tries to be self-contained and the authors start out at a very elementary level. They emphasize applications and practical aspects of wavelets.

Rating:
Summary: First class book on wavelets!!
Review: This book offers a concise highly mathematical accurate analysis treatment of modern wavelet theory. It covers all essential material and should be suitable for those involved in Digital Signal Processing.

Rating:
Summary: Well written.
Review: 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:
Summary: Well written.
Review: 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:
Summary: Well written.
Review: 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.