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Titlebook: Wavelet Packets and Their Statistical Applications; Khalil Ahmad,Abdullah Book 2018 Springer Nature Singapore Pte Ltd. 2018 Wavelets.Wavel

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发表于 2025-3-21 17:00:28 | 显示全部楼层 |阅读模式
书目名称Wavelet Packets and Their Statistical Applications
编辑Khalil Ahmad,Abdullah
视频video
概述Discusses major topics in wavelet analysis, functional analysis, and thresholding.Highlights the applications of wavelets and wavelet packets in the physical, statistical and medical sciences.Studies
丛书名称Forum for Interdisciplinary Mathematics
图书封面Titlebook: Wavelet Packets and Their Statistical Applications;  Khalil Ahmad,Abdullah Book 2018 Springer Nature Singapore Pte Ltd. 2018 Wavelets.Wavel
描述This book presents the basic concepts of functional analysis, wavelet analysis and thresholding. It begins with an elementary chapter on preliminaries such as basic concepts of functional analysis, a brief tour of the wavelet transform, Haar scaling functions and function space, wavelets, symlets wavelets and coiflets wavelets. In turn, Chapters 2 and 3 address the construction of wavelet packets, selected results on wavelet packets, band-limited wavelet packets, characterisations of wavelet packets, multiresolution analysis (MRA) wavelet packets, pointwise convergence, the convergence of wavelet packet series and convolution bounds. Chapter 4 discusses characterisations of function spaces like Lebesgue spaces, Hardy spaces and Sobolev spaces in terms of wavelet packets, while Chapter 5 is devoted to applications of wavelets and wavelet packets in speech denoising and biomedical signals. In closing, Chapter 6 highlights applications of wavelets and wavelet packets in image denoising.
出版日期Book 2018
关键词Wavelets; Wavelet packets; Signal Processing; Image Processing; Denoising; Function Spaces
版次1
doihttps://doi.org/10.1007/978-981-13-0268-8
isbn_softcover978-981-13-4375-9
isbn_ebook978-981-13-0268-8Series ISSN 2364-6748 Series E-ISSN 2364-6756
issn_series 2364-6748
copyrightSpringer Nature Singapore Pte Ltd. 2018
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Khalil Ahmad,Abdullahservices. The purpose of such schemes is to ensure that only a legitimate user, and not anyone else, accesses the rendered services. Examples of such applications include secure access to buildings, computer systems, laptops, cellular phones and ATMs. In the absence of robust personal recognition sc
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Khalil Ahmad,Abdullahjection theorem makes it possible to project probability density functions from a low-dimensional feature space back to the raw data space. An M-ary classifier is constructed by estimating the PDFs of class-specific features, then transforming each PDF back to the raw data space where they can be fa
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Khalil Ahmad,Abdullah in an ecosystem. In this paper we focus on clustering methods and their application to taxonomic analysis of metagenomic data. Clustering analysis for metagenomics amounts to group similar partial sequences, such as raw sequence reads, into clusters in order to discover information about the intern
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