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Azami et al., 2022 - Google Patents

Ensemble entropy: A low bias approach for data analysis

Azami et al., 2022

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Document ID
12818294703307454761
Author
Azami H
Sanei S
Rajji T
Publication year
Publication venue
Knowledge-Based Systems

External Links

Snippet

To quantify the irregularity of data, there are a number of entropy measures each with its own advantages and disadvantages. In this pilot study, a new concept, namely ensemble entropy, is introduced and used to generate more stable and low bias signal patterns for …
Continue reading at irep.ntu.ac.uk (PDF) (other versions)

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    • G—PHYSICS
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