iir_filt: Butterworth IIR filter

In neuroconductor-devel-releases/eegUtils: A collection of utilities for EEG analysis

Description

Construct a Butterworth IIR filter and filter input data. This uses signal::filt_filt, which filters the signal twice to - once forwards, then again backwards).

Usage

iir_filt(data, ...)

## S3 method for class 'data.frame'
iir_filt(data, low_freq = NULL, high_freq = NULL,
  filter_order = 4, srate, silent = FALSE, ...)

## S3 method for class 'eeg_data'
iir_filt(data, low_freq = NULL, high_freq = NULL,
  filter_order = 4, silent = FALSE, ...)

## S3 method for class 'eeg_epochs'
iir_filt(data, low_freq = NULL, high_freq = NULL,
  filter_order = 4, silent = FALSE, ...)

Arguments

data	Data to be filtered.
...	Parameters passed to S3 methods
low_freq	Low passband edge.
high_freq	High passband edge.
filter_order	Order of the Butterworth filter.
srate	Sampling rate of the signal.
silent	Turns off filtering messages.

Details

low_freq and high_freq are passband edges. Pass low freq or high freq alone to perform high-pass or low-pass filtering respectively. For band-pass or band-stop filters, pass both low_freq and high_freq.

If low_freq < high_freq, bandpass filtering is performed.

If low_freq > high_freq, bandstop filtering is performed.

Methods (by class)

• data.frame: Filter a data frame

• eeg_data: Filter eeg_data

• eeg_epochs: Filter eeg_epochs

Author(s)

Matt Craddock [e-mail]

neuroconductor-devel-releases/eegUtils documentation built on May 5, 2020, 3:49 a.m.