Help for package RFIF

Type:

Package

Title:

Fast Iterative Filtering (FIF) with Portable FFT Backend

Version:

1.0.2

Description:

Provides an R interface to a C implementation of Fast Iterative Filtering (FIF) for decomposing a univariate signal into intrinsic mode functions (IMFs) and a residual. The package uses Fast Fourier Transform library FFTW, if found. If not, it provides instructions to install it for your OS. This is recommended, as R's internal fft(), while avoiding external FFT dependencies, is two orders of magnitude slower. See vignette 'Installing FFTW for RFIF' for RFIF installation instructions.

Suggests:

testthat (≥ 3.0.0), knitr, rmarkdown

Config/testthat/edition:

License:

MIT + file LICENSE

Encoding:

UTF-8

VignetteBuilder:

knitr

URL:

https://github.com/ChuckColeman/RFIF

BugReports:

https://github.com/ChuckColeman/RFIF/issues

NeedsCompilation:

yes

Packaged:

2026-05-23 22:25:57 UTC; Common

Author:

Chuck Coleman

[aut, cre]

Maintainer:

Chuck Coleman <cdcoleman113@gmail.com>

Repository:

CRAN

Date/Publication:

2026-05-24 14:40:08 UTC

Fast Iterative Filtering (C backend)

Description

Decompose a univariate signal into Intrinsic Mode Functions (IMFs) using the vendored C implementation of Fast Iterative Filtering (FIF).

Usage

rfif(x)

Arguments

x

Numeric vector (signal).

Value

A list with components:

imfs: numeric matrix with one IMF per row (rows = IMFs; columns = time).
residual: numeric vector of length length(x).
nimf: integer number of IMFs.

Examples

t <- seq(0, 1, length.out = 1024)
x <- sin(2*pi*5*t) + 0.5*sin(2*pi*20*t)
res <- rfif(x)
recon <- if (res$nimf > 0) colSums(res$imfs) + res$residual else res$residual
max(abs(x - recon))