Wavelet packets and their statistical applications /
General Material Designation
[Book]
First Statement of Responsibility
Khalil Ahmad, Abdullah.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Singapore :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
2018.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource
SERIES
Series Title
Forum for interdisciplinary mathematics,
ISSN of Series
2364-6748
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
CONTENTS NOTE
Text of Note
Intro; Foreword; Preface; Contents; About the Authors; 1 Preliminaries; 1.1 Introduction; 1.2 Basic Concepts of Functional Analysis; 1.3 A Short Tour of Wavelet Transform; 1.3.1 Fourier Transform; 1.3.2 Wavelet Transform; 1.3.3 Continuous Wavelet Transform; 1.3.4 Discrete Wavelet Transform; 1.4 Haar Scaling Functions and Function Space; 1.4.1 Translation and Scaling of (t); 1.4.2 Orthogonality of Translates of (t); 1.4.3 Function Space V0; 1.4.4 Finer Haar Scaling Functions; 1.4.5 Nested Space; 1.4.6 Haar Wavelet Function; 1.4.7 Scaled Haar Wavelet Functions.
Text of Note
3.3 Convolution Bounds and Convergence of Wavelet Packet Series4 Function Spaces and Wavelet Packets; 4.1 Introduction; 4.2 Lebesgue Spaces Lp(mathbbR) and Wavelet Packets; 4.3 Hardy Space calH1(mathbbR) and Wavelet Packets; 4.4 Sobolev Spaces Lp, s (mathbbR) and Wavelet Packets; 5 Applications in Signal Processing; 5.1 Introduction; 5.2 Applications of Wavelets in Speech Denoising; 5.2.1 Speech Signal Processing; 5.2.2 Noise Reduction in Speech Signal Using Thresholding in Wavelet Transform Domain; 5.2.3 Estimation of Speech Signal in the Presence of White Noise Using Wavelet Transform.
Text of Note
5.3 Applications of Wavelet Packets in Speech Denoising5.3.1 Denoising of Speech Signal by Using Wavelet Packet Transform; 5.3.2 Selection of Optimal Decomposition Level Based on Entropy for Speech Denoising Using Wavelet Packets; 5.3.3 Thresholding Method for Denoising Speech Signal Using Wavelet Packet Transform; 5.4 Applications of Wavelets in Biomedical Signals; 5.4.1 ECG Signal Characteristics; 5.4.2 Performance Comparison of Wavelet Threshold Estimators for ECG Signal Denoising; 5.4.3 Denoising of ECG Signal Using Wavelet Transform.
Text of Note
5.5 Applications of Wavelet Packets in ECG Signal Denoising5.5.1 Wavelet Packet Thresholding Method for Denoising ECG Signal; 5.5.2 Baseline Drift Correction in ECG Signal Using Wavelet Packets Transform; 6 Applications in Image Processing; 6.1 Introduction; 6.2 Applications of Wavelets in Image Denoising; 6.3 Applications of Wavelet Packets in Image Denoising; References; ; Index.
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SUMMARY OR ABSTRACT
Text of Note
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.--
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9789811302688
OTHER EDITION IN ANOTHER MEDIUM
Title
Wavelet packets and their statistical applications.
International Standard Book Number
9789811302671
TOPICAL NAME USED AS SUBJECT
Wavelets (Mathematics)
Applications of Mathematics.
Functional Analysis.
Mathematics.
Numerical Analysis.
Signal, Image and Speech Processing.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.