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Hilbert-Huang Transform Analysis Of Hydrological And Environmental Time Series / by A. Ramachandra Rao, En-Ching Hsu.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Water Science and Technology Library ; 60Editor: Dordrecht : Springer Netherlands, 2008Descripción: recurso en líneaTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9781402064548
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • GB1001-1199.8
Recursos en línea:
Contenidos:
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.
Resumen: The Hilbert-Huang Transform ((HHT) is a recently developed technique which is used to analyze nonstationary data. Hydrologic and environmental series are, in the main, analyzed by using techniques which were developed for stationary data. This has led to problems of interpretation of the results. Environmental and hydrologic series are quite often nonstationary. The basic objective of the material discussed in this book is to analyze these data by using methods based on the Hilbert-Huang transform. These results are compared to the results from the traditional methods such as those based on Fourier transform and other classical statistical tests. Audience This book will be of value to researchers interested in climate change and advanced graduate students in civil engineering, atmospheric sciences and statistics.
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Springer eBooks

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.

The Hilbert-Huang Transform ((HHT) is a recently developed technique which is used to analyze nonstationary data. Hydrologic and environmental series are, in the main, analyzed by using techniques which were developed for stationary data. This has led to problems of interpretation of the results. Environmental and hydrologic series are quite often nonstationary. The basic objective of the material discussed in this book is to analyze these data by using methods based on the Hilbert-Huang transform. These results are compared to the results from the traditional methods such as those based on Fourier transform and other classical statistical tests. Audience This book will be of value to researchers interested in climate change and advanced graduate students in civil engineering, atmospheric sciences and statistics.

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