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Rating: Summary: Finally, Wavelets are explained !! Review: Thank Yves.
I enrolled in an online graduate course for wavelets and could not understand the book and the professor liked to give very few problems with very little help to ensure that he would not have to grade many problems and to ensure that we would not understand the material well. I searched the web and checked out about 10 wavelet book in the library and still I could not get a clue on wavelets in how they actually worked and the mathematics behind them.
But, ... with Yves' book, ... it does still take some mental effort, but his book is readable and the homework assignments are doable without an instructor leading you or mis-leading you as the case may be.
Wavelets applications fascinate me and without Yves book, I still wouldn't have a clue.
Rating: Summary: Excellent. Review: The book is excellent in the sense that it has the right mixture of both theoretic and practical aspects. The portions on Fourier transforms also are apt for a newcomer to understand the theory. Of course, the first impression formed by seeing the title is that the matter inside would be plain english without any mathematics. However, the mathematics in the book has been kept elementary and in places where that wasn't possible, a thorough introduction has been provided.The applications are explicitly mentioned and algorithms are written down clearly, instead of simply providing the theory and leaving the implementation for the student to figure out for himself. For the less mathematically oriented, the exercises at the end of each chapter will provide a good intuition to what will be encountered in the consequent sections. Once this book is read, other books that concentrate on specific aspects of wavelets will appear to be more understandable.
Rating: Summary: wavelet made easy Review: This is an excellent book. Wavelet IS a quite advanced concept in Math. The author did a good job to minimize the math backgrond needed to understand wavelet. DON'T BLAM author because you have way too little math training.
Rating: Summary: The complex cannot be made easy, but it can be made clear Review: When I first saw this book, which is heavy on equations, I thought "wow, if this is wavelets made easy, I'd hate to see the hard version". And indeed this book is not light reading. But it is clear and there are plenty of examples. This book is far and away the best book on wavelets that I've found. Wavelets are a complex topic. It would be unfair to think that you can pick up a book like this an read it like a popular science book. Reading a book like this takes concentration and effort. Implementing wavelet software is even more work, since some of the "in-place" algorithms are difficult. "Wavelets Made Easy" is a great foundation for anyone who wants to apply Haar wavelets for data analysis and filtering. ... Nievergelt's coverage of Daubechies wavelets is not as good as his coverage of Haar. He clearly explains the matrix (linear algebra) view of Daubechies wavelets. The coverage of edge effect issues is also good. However, as the chapter proceeds, it fell apart, at least for me. There appear to be errors in some of the algorithms. For example, Nievergelt uses an average of the input time series over the Daubechies wavelet. As far as I can see, this average cannot be inverted to yield the original time series. Nievergelt's Daubechies algorithm also does not seem to match algorithms like the one published in Numerical Recipies. So in summary, I'd say that this is a book that started out well in the first few chapters but became less useful as I worked through it.
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