A Flexible Method for Envelope Estimation in Empirical Mode Decomposition | Zendy

Yoshikazu Washizawa | Zendy; Toshihisa Tanaka | Zendy; Danilo P. Mandic | Zendy; Andrzej Cichocki | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A Flexible Method for Envelope Estimation in Empirical Mode Decomposition

Author(s) -

Yoshikazu Washizawa,

Toshihisa Tanaka,

Danilo P. Mandic,

Andrzej Cichocki

Publication year - 2006

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-46542-1

DOI - 10.1007/11893011_158

Subject(s) - hilbert–huang transform , envelope (radar) , computer science , mode (computer interface) , quadratic equation , algorithm , function (biology) , decomposition , spline (mechanical) , mathematical optimization , mathematics , computer vision , telecommunications , ecology , radar , geometry , structural engineering , evolutionary biology , engineering , biology , operating system , filter (signal processing)

A flexible and efficient method for finding the envelope within the empirical mode decomposition (EMD) is introduced. Unlike the existing (deterministic) spline based strategy, the proposed envelope is a result of an optimisation precess and sought as a minimum of a quadratic cost function. A closed form solution of this optimisation problem is obtained and it is shown that by choosing free parameters, we can fine-tune the frequency resolution or the number of intrinsic mode functions (IMFs) as well as the shape of the envelopes. Computer simulations on both the synthetic and real-world electro-encephalogram (EEG) data support the analysis.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research