نتایج جستجو برای: Huang Transform

تعداد نتایج: 122685  

Journal: :Scholarpedia 2008

ژورنال: مهندسی دریا 2018

This paper investigates an underwater noise target classification algorithm in order to identify vessels in shallow water. To this aim the Hilbert Huang transform has been used to extract features in order to be used in a classifier. The Support Vector Machine has been considered to identify targets. The proposed method based on Hilbert Huang Transform shows considerable gain against similar ap...

Journal: :فیزیک زمین و فضا 0
محمد صادق پرکان دانشجوی کارشناسی ارشد مؤسسة ژئوفیزیک دانشگاه تهران حمیدرضا سیاه کوهی استاد، گروه فیزیک زمین، موسسه زئوفیزیک دانشگاه تهران، ایران علی غلامی دانشیر، گروه فیزیک زمین، موسسه ژئوفیزیک دانشگاه تهارن، ایران

in this paper some new applications of empirical mode decomposition (emd) and hilbert spectrum in seismic ground-roll attenuation, random noise attenuation and spectral decomposition are introduced. hilbert spectrum is a time-frequency representation for hilbert-huang transform which is obtained by combination of instantaneous frequency (if) concept and intrinsic mode function of empirical mode...

Journal: :Wireless Engineering and Technology 2010

2006
Robert C. Sharpley Vesselin Vatchev

The Empirical Mode Decomposition is a process for signals which produces Intrinsic Mode Functions from which instantaneous frequencies may be extracted by simple application of the Hilbert transform. The beauty of this method to generate redundant representations is in its simplicity and its effectiveness. Our study has two objectives: first, to provide an alternate characterization of the Intr...

2005
G. G. S. Pegram S. Sinclair

Empirical Mode Decomposition in 2-D space and time: a tool for space-time rainfall analysis and nowcasting S. Sinclair and G. G. S. Pegram Civil Engineering, University of KwaZulu-Natal, Durban, South Africa Received: 23 December 2004 – Accepted: 9 February 2005 – Published: 10 February 2005 Correspondence to: S. Sinclair ([email protected]) © 2005 Author(s). This work is licensed under a Cr...

Journal: :Computer Aided Geometric Design 2016
Jianping Hu Xiaochao Wang Hong Qin

Article history: Available online xxxx

Journal: :Advances in Adaptive Data Analysis 2009
Thomas Y. Hou Mike P. Yan Zhaohua Wu

In this paper, we propose a variant of the Empirical Mode Decomposition method to decompose multiscale data into their intrinsic mode functions. Under the assumption that the multiscale data satisfy certain scale separation property, we show that the proposed method can extract the intrinsic mode functions accurately and uniquely.

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