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Hilbert-Huang Transform Analysis of Hydrological and Environmental Time Series b

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Specificaties

Objectstaat
Nieuw: Een nieuw, ongelezen en ongebruikt boek in perfecte staat waarin geen bladzijden ontbreken of ...
ISBN-13
9789048176458
Book Title
Hilbert-Huang Transform Analysis of Hydrological and Environmenta
ISBN
9789048176458
Publication Year
2010
Series
Water Science and Technology Library
Type
Textbook
Format
Trade Paperback
Language
English
Publication Name
Hilbert-Huang Transform Analysis of Hydrological and Environmental Time Series
Author
E. -C. Hsu, A. R. Rao
Item Length
9.3in
Publisher
Springer Netherlands
Item Width
6.1in
Item Weight
16.3 Oz
Number of Pages
Xii, 248 Pages

Over dit product

Product Information

To accommodate the inherent non-linearity and non-stationarity of many natural time series, empirical mode decomposition (EMD) and Hilbert-Huang transform (HHT) provide an adaptive and efficient method. The HHT is based on the local characteristic time scale of the data. The HHT method provides not only a precise definition in time-frequency representation than the other conventional signal processing methods, but also more physically meaningful interpretation of the underlying dynamic processes. The EMD also works as a filter to extract the variability of signals with different scales and is applicable to non-linear and n- stationary processes. This promising algorithm has been applied in many fields since it was developed, but it has not been applied to hydrological and climatic time series. The discussion in this book starts with several simulated data sets in order to investigate the capability of this method and to compare it to other conventional frequency-domain analysis methods that assume stationarity. Rainfall, streamflow, temperature, wind speed time series and lake temperature data are investigated in this study. The aim of the work is to investigate periodicity, long term oscillations and trends embedded in these data by using HHT. The analysis is performed in both the time and frequency domains. The results from HHT are compared to those from the multi-taper method (MTM) which is based on Fourier Transform of the data.

Product Identifiers

Publisher
Springer Netherlands
ISBN-10
904817645x
ISBN-13
9789048176458
eBay Product ID (ePID)
3038715507

Product Key Features

Author
E. -C. Hsu, A. R. Rao
Publication Name
Hilbert-Huang Transform Analysis of Hydrological and Environmental Time Series
Format
Trade Paperback
Language
English
Publication Year
2010
Series
Water Science and Technology Library
Type
Textbook
Number of Pages
Xii, 248 Pages

Dimensions

Item Length
9.3in
Item Width
6.1in
Item Weight
16.3 Oz

Additional Product Features

Series Volume Number
60
Number of Volumes
1 Vol.
Lc Classification Number
Ta703-705.4
Reviews
" I believe Hilbert-Huang Transform Analysis of Hydrological and Environmental Time Series will satisfy researchers in any discipline who analyze nonstationary and/or nonlinear time series. The book does not claim to be a final word on the merits of the HHT, but it does extend empirical claims regarding the potential effectiveness of the HHT. There are no exercises, although the book could be used in a teaching setting. Overall, I was glad to read the book and believe the HHT is well worth continued study as a potentially effective tool in the challenging area of nonstationary and non-linear time series analysis." Tom Burr, Statistical Sciences, Los Alamos National Laboratory, Los Alamos, NM, USA, " I believe Hilbert-Huang Transform Analysis of Hydrological and Environmental Time Series will satisfy researchers in any discipline who analyze nonstationary and/or nonlinear time series. The book does not claim to be a final word on the merits of the HHT, but it does extend empirical claims regarding the potential effectiveness of the HHT. There are no exercises, although the book could be used in a teaching setting.Overall, I was glad to read the book and believe the HHT is well worth continued study as a potentially effective tool in the challenging area of nonstationary and non-linear time series analysis."Tom Burr, Statistical Sciences, Los Alamos National Laboratory, Los Alamos, NM, USA
Table of Content
Hilbert-Huang Transform (HHT) Spectral Analysis.- Hilbert-Huang Spectra Of Simulated Data.- Rainfall Data Analysis.- Streamflow Data Analysis.- Temperature Data Analysis.- Wind Data Analysis.- Lake Temperature Data Analysis.- Conclusions.
Copyright Date
2008
Topic
Civil / Soil & Rock, Environmental Science (See Also Chemistry / Environmental), Earth Sciences / Hydrology, Earth Sciences / Geology
Intended Audience
Scholarly & Professional
Illustrated
Yes
Genre
Technology & Engineering, Science

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