The HilbertโHuang Transform (HHT) represents a desperate attempt to break the suffocating hold on the field of data analysis by the twin assumptions of linearity and stationarity. Unlike spectrograms, wavelet analysis, or the WignerโVille Distribution, HHT is truly a time-frequency analysis, but it
Hilbert Huang Transform and Its Applications: 2nd Edition
โ Scribed by Norden E Huang, Samuel S P Shen, Norden E Huang, Samuel S P Shen
- Publisher
- World Scientific Publishing Company
- Year
- 2014
- Tongue
- English
- Leaves
- 399
- Series
- Interdisciplinary Mathematical Sciences
- Edition
- 2nd edition
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This book is written for scientists and engineers who use HHT (Hilbert Huang Transform) to analyze data from nonlinear and non-stationary processes. It can be treated as a HHT user manual and a source of reference for HHT applications. The book contains the basic principle and method of HHT and various application examples, ranging from the correction of satellite orbit drifting to detection of failure of highway bridges.
The thirteen chapters of the first edition are based on the presentations made at a mini-symposium at the Society for Industrial and Applied Mathematics in 2003. Some outstanding mathematical research problems regarding HHT development are discussed in the first three chapters. The three new chapters of the second edition reflect the latest HHT development, including ensemble empirical mode decomposition (EEMD) and modified EMD.
The book also provides a platform for researchers to develop the HHT method further and to identify more applications.
Readership: Applied mathematicians, climate scientists, highway engineers, medical scientists, geologists, civil engineers, mechanical engineers, electrical engineers, economics and graduate students in science or engineering.
โฆ Subjects
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๐ SIMILAR VOLUMES
The HilbertโHuang Transform (HHT) represents a desperate attempt to break the suffocating hold on the field of data analysis by the twin assumptions of linearity and stationarity. Unlike spectrograms, wavelet analysis, or the WignerโVille Distribution, HHT is truly a time-frequency analysis, but it
This is a high quality introduction to what is known as the Hilbert-Huang transform. The chapters are well-prepared and nicely ordered. The examples are valuable for those who might consider using this new technique. The relevant software is not provided.
The Hilbert transform has many uses, including solving problems in aerodynamics, condensed matter physics, optics, fluids, and engineering. Written in a style that will suit a wide audience (including the physical sciences), this book will become the reference of choice on the topic, whatever the su
Data used to develop and confirm models suffer from several shortcomings: the total data is too limited, the data are non-stationary, and the data represent nonlinear processes. The Hilbert-Huang transform (HHT) is a relatively new method that has grown into a robust tool for data analysis and is re