Wavelet methods in statistics: Some recent developments and their applications
A Antoniadis - 2007 - projecteuclid.org
The development of wavelet theory has in recent years spawned applications in signal
processing, in fast algorithms for integral transforms, and in image and function …
processing, in fast algorithms for integral transforms, and in image and function …
Wavelet-based multiscale statistical process monitoring: A literature review
Data that represent complex and multivariate processes are well known to be multiscale due
to the variety of changes that could occur in a process with different localizations in time and …
to the variety of changes that could occur in a process with different localizations in time and …
Springer series in statistics
The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …
[图书][B] Sparse image and signal processing: wavelets, curvelets, morphological diversity
This book presents the state of the art in sparse and multiscale image and signal processing,
covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and …
covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and …
[图书][B] Nonparametric curve estimation: methods, theory, and applications
S Efromovich - 2008 - books.google.com
This book gives a systematic, comprehensive, and unified account of modern nonparametric
statistics of density estimation, nonparametric regression, filtering signals, and time series …
statistics of density estimation, nonparametric regression, filtering signals, and time series …
Hybrid seismic denoising using higher‐order statistics and improved wavelet block thresholding
SM Mousavi, CA Langston - Bulletin of the Seismological …, 2016 - pubs.geoscienceworld.org
We introduce a nondiagonal seismic denoising method based on the continuous wavelet
transform with hybrid block thresholding (BT). Parameters for the BT step are adaptively …
transform with hybrid block thresholding (BT). Parameters for the BT step are adaptively …
Wavelet estimators in nonparametric regression: a comparative simulation study
A Antoniadis, J Bigot, T Sapatinas - Journal of statistical software, 2001 - jstatsoft.org
Wavelet analysis has been found to be a powerful tool for the nonparametric estimation of
spatially-variable objects. We discuss in detail wavelet methods in nonparametric …
spatially-variable objects. We discuss in detail wavelet methods in nonparametric …
Wavelet analysis and its statistical applications
F Abramovich, TC Bailey… - Journal of the Royal …, 2000 - Wiley Online Library
In recent years there has been a considerable development in the use of wavelet methods in
statistics. As a result, we are now at the stage where it is reasonable to consider such …
statistics. As a result, we are now at the stage where it is reasonable to consider such …
A survey on wavelet applications in data mining
Recently there has been significant development in the use of wavelet methods in various
data mining processes. However, there has been written no comprehensive survey …
data mining processes. However, there has been written no comprehensive survey …
[图书][B] Sparse image and signal processing: Wavelets and related geometric multiscale analysis
This thoroughly updated new edition presents state of the art sparse and multiscale image
and signal processing. It covers linear multiscale geometric transforms, such as wavelet …
and signal processing. It covers linear multiscale geometric transforms, such as wavelet …