Bookcover of Wavelet-based Resampling Techniques
Booktitle:

Wavelet-based Resampling Techniques

Investigating the effectiveness of the wavelet transform with dependent data

LAP LAMBERT Academic Publishing (2019-12-03 )

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ISBN-13:

978-620-0-46906-9

ISBN-10:
6200469067
EAN:
9786200469069
Book language:
English
Blurb/Shorttext:
Wavelet-based Resampling Techniques investigated the application of the wavelet transform to dependent data. Such data naturally arise in time series and point processes, either in one or two dimensions. While standard wavelet transforms can be applied to time series or one-dimensional point processes they need to be adapted to two-dimensional processes. This thesis developed a method based on Delaunay triangulation to remove points one at a time in a similar way to the wavelet lifting algorithm. The technique was applied to Poisson point processes, clustered data, non-homogeneous point processes and marked data.
Publishing house:
LAP LAMBERT Academic Publishing
Website:
https://www.lap-publishing.com/
By (author) :
Richard Kenderdine
Number of pages:
312
Published on:
2019-12-03
Stock:
Available
Category:
Theory of probability, stochastics, mathematical statistics
Price:
87.90 €
Keywords:
Wavelets, point processes, correlated data

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