Noise Reduction by Wavelet Thresholding

Name: Noise Reduction by Wavelet Thresholding
Brand: Springer-Verlag New York Inc.
SKU: 9780387952444
Price: 2567 CZK
Availability: InStock

Autor: Maarten Jansen

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer-Verlag New York Inc.

Dostupnost: Skladem u dodavatele v malém množství

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2 567 Kč

This book discusses statistical applications of wavelet theory for use in signal and image processin...

Informace o knize

Autor

Maarten Jansen

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2001

Stránek

196

EAN

9780387952444

ISBN

0387952446

Enbook ID

01384316

Vydavatel

Springer-Verlag New York Inc.

Hmotnost

710

Rozměry

155 x 248 x 13

Kompletní popis

This book discusses statistical applications of wavelet theory for use in signal and image processing. The emphasis is on smoothing by wavelet thresholding and extended methods. Wavelet thresholding is an example of non-linear and non-parametric smoothing. The first part discusses theoretical and practical issues concerned with minimum risk thresholding and fast threshold estimation, using generalized cross validation. The extensions in later chapters consider possibilities to exploit three key properties of wavelets in statistics: sparsity, multiresolution, and locality. The author discusses original contributions to problems of correlated noise, scale dependent processing, Bayesian algorithms with geometrical priors (Markov random fields), non-equispaced data, and many other extensions. The point of view lies on the bridge between statistics, signal and image processing, and approximation theory, and the book is accessible for researchers from all of these fields. Most of the material has in mind applications in signal or image processing, and signals and images are used extensively in the illustrations. Nevertheless, the algorithms are quite general in the sense that they could also serve in other regression problems.

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Noise Reduction by Wavelet Thresholding

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