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NOISE REDUCTION BY WAVELET THRESHOLDING (LECTURE NOTES IN By Maarten Jansen *VG*

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Very Good
A book that has been read and does not look new, but is in excellent condition. No obvious damage to the book cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, no underlining or highlighting of text, and no writing in the margins. Some identifying marks on the inside cover, but this is minimal. Very little wear and tear. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
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“Book is in Very Good Condition.  Text will be unmarked.  May show some signs of use or wear. Will ...
ISBN-10
0387952446
Book Title
Noise Reduction by Wavelet Thresholding (Lecture Notes in
Genre
TECHNOLOGY & ENGINEERING
Item Height
9.25 inches
ISBN
9780387952444
Series
Lecture Notes in Statistics Ser.
Publication Year
2001
Type
Textbook
Format
Trade Paperback
Language
English
Publication Name
Noise Reduction by Wavelet Thresholding
Author
Maarten Jansen
Item Length
9.8in
Publisher
Springer New York
Item Width
6.1in
Item Weight
25 Oz
Number of Pages
Xxi, 196 Pages

About this product

Product Information

Wavelet methods have become a widely spread tool in signal and image process­ ing tasks. This book deals with statistical applications, especially wavelet based smoothing. The methods described in this text are examples of non-linear and non­ parametric curve fitting. The book aims to contribute to the field both among statis­ ticians and in the application oriented world (including but not limited to signals and images). Although it also contains extensive analyses of some existing methods, it has no intention whatsoever to be a complete overview of the field: the text would show too much bias towards my own algorithms. I rather present new material and own insights in the questions involved with wavelet based noise reduction. On the other hand, the presented material does cover a whole range of methodologies, and in that sense, the book may serve as an introduction into the domain of wavelet smoothing. Throughout the text, three main properties show up ever again: sparsity, locality and multiresolution. Nearly all wavelet based methods exploit at least one of these properties in some or the other way. These notes present research results of the Belgian Programme on Interuniver­ sity Poles of Attraction, initiated by the Belgian State, Prime Minister's Office for Science, Technology and Culture. The scientific responsibility rests with me. My research was financed by a grant (1995 - 1999) from the Flemish Institute for the Promotion of Scientific and Technological Research in the Industry (IWT).

Product Identifiers

Publisher
Springer New York
ISBN-10
0387952446
ISBN-13
9780387952444
eBay Product ID (ePID)
1883169

Product Key Features

Author
Maarten Jansen
Publication Name
Noise Reduction by Wavelet Thresholding
Format
Trade Paperback
Language
English
Series
Lecture Notes in Statistics Ser.
Publication Year
2001
Type
Textbook
Number of Pages
Xxi, 196 Pages

Dimensions

Item Length
9.8in
Item Width
6.1in
Item Weight
25 Oz

Additional Product Features

Series Volume Number
161
Number of Volumes
1 Vol.
Lc Classification Number
Ta329-348
Table of Content
1. Introduction and overview.- 2. Wavelets and wavelet thresholding.- 3. The minimum mean squared error threshold.- 4. Estimating the minimum MSE threshold.- 5. Thresholding and GCV applicability in more realistic situations.- 6. Bayesian correction with geometrical priors for image noise reduction.- 7. Smoothing non-equidistantly spaced data using second generation wavelets and thresholding.
Copyright Date
2001
Topic
Engineering (General), Signals & Signal Processing, Mechanical, Applied, Electronics / General, Mathematical Analysis
Lccn
00-069241
Dewey Decimal
621.382/2
Intended Audience
Scholarly & Professional
Dewey Edition
21
Illustrated
Yes
Genre
Technology & Engineering, Mathematics

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