£107.43

Springer Hilbert-Huang Transform Analysis - Water Science Vol 60

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Description

Master the complexities of natural data with Hilbert-Huang Transform Analysis of Hydrological and Environmental Time Series. This volume from the Water Science and Technology Library provides a specialized approach to handling the non-linearity and non-stationarity found in many natural time series. By utilizing Empirical Mode Decomposition (EMD) and the Hilbert-Huang Transform (HHT), readers can access an adaptive and efficient method for data analysis. Unlike conventional signal processing methods, the HHT is based on the local characteristic time scale of the data. This allows for a more precise definition in time-frequency representation and provides a physically meaningful interpretation of underlying dynamic processes. This book serves as a technical resource for understanding how EMD works as a filter to extract signal variability across different scales. It is an essential addition for researchers and professionals working within hydrological and environmental sciences who require advanced tools for signal processing and data interpretation.

Key Features

Utilizes Empirical Mode Decomposition (EMD) to provide an adaptive and efficient method for analyzing non-linear and non-stationary natural time series.

Provides a precise time-frequency representation through the Hilbert-Huang Transform (HHT) method for enhanced data accuracy.

Offers a physically meaningful interpretation of underlying dynamic processes compared to conventional signal processing techniques.

Uses the EMD method as a functional filter to extract signal variability across various scales.

Part of the specialized Water Science and Technology Library (Volume 60) for professional reference.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 November 2010
Listed Since
20 September 2010

Barcode

No barcode data available

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