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Essential Wavelets for Data Analysis

โœ Scribed by Todd Ogden


Year
1996
Tongue
English
Leaves
216
Edition
1
Category
Library

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โœฆ Synopsis


Presenting new developments in wavelet theory, this volume includes enough of the mathematics behind wavelets to enable applied statisticians and other users of statistics to understand and apply these methods to their own data. All the key elements of wavelets are brought out through examples, and various fundamental problems in statistics (nonparamtric regression, density estimation, etc) are discussed, with examples of how wavelets can be applied to this situation.


๐Ÿ“œ SIMILAR VOLUMES


Essential Wavelets for Statistical Appli
โœ Todd Ogden ๐Ÿ“‚ Library ๐Ÿ“… 1997 ๐Ÿ› Birkhรคuser ๐ŸŒ English

Exciting new developments in wavelet theory have attracted much attention and sparked new research in many fields of applied mathematics. New tools are available for efficient data compression, image analysis, and signal processing, and there is a great deal of activity in developing new wavelet met

Essential Wavelets for Statistical Appli
โœ Todd Ogden ๐Ÿ“‚ Library ๐Ÿ“… 1996 ๐Ÿ› Birkhรคuser Boston ๐ŸŒ English

Presenting new developments in wavelet theory, this volume includes enough of the mathematics behind wavelets to enable applied statisticians and other users of statistics to understand and apply these methods to their own data. All the key elements of wavelets are brought out through examples, and

Essential Wavelets for Statistical Appli
โœ Todd Ogden ๐Ÿ“‚ Library ๐Ÿ“… 2012 ๐Ÿ› Birkhรคuser ๐ŸŒ English

<span>I once heard the book by Meyer (1993) described as a "vulgarization" of wavelets. While this is true in one sense of the word, that of making a subยญ ject popular (Meyer's book is one of the early works written with the nonยญ specialist in mind), the implication seems to be that such an attempt