Empirical Mode Decomposition methods for implemented in Julia. Currently only EMD, EEMD and the Hilbert-Huang transform are implemented for 1D signals. The S number convergence criterion is used for convergence to the intrinsic mode functions.
- Popularity
- 3 Stars
- Updated Last
- 2 Years Ago
- Started In
- August 2019
Required Packages
- AbstractFFTs
- AbstractTrees
- AliasTables
- ANSIColoredPrinters
- ArgTools
- ChainRulesCore
- ChangesOfVariables
- CodecZlib
- CommonSubexpressions
- Compat
- DataAPI
- DataStructures
- DensityInterface
- Dierckx
- DiffResults
- DiffRules
- Distributions
- DocStringExtensions
- Documenter
- Downloads
- FFTW
- FillArrays
- ForwardDiff
- Git
- HypergeometricFunctions
- InverseFunctions
- IOCapture
- IrrationalConstants
- JSON
- LazilyInitializedFields
- LibCURL
- LogExpFunctions
- MacroTools
- MarkdownAST
- Missings
- NaNMath
- NetworkOptions
- OrderedCollections
- Parsers
- PDMats
- PrecompileTools
- Preferences
- PtrArrays
- QuadGK
- Reexport
- RegistryInstances
- Rmath
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