| comp_filt {tagtools} | R Documentation |
Complementary filtering of a signal.
Description
This function breaks signal X into two or more frequency bands such that the sum of the signals in the separate bands is equal to the original signal.
Usage
comp_filt(X, sampling_rate = NULL, fc)
Arguments
X |
A sensor vector or matrix (i.e., with a signal in each column) or sensor list (e.g., from readtag.R). |
sampling_rate |
The sampling rate of the sensor data in Hz (samples per second). |
fc |
Specifies the cut-off frequency or frequencies of the complementary filters. Frequencies are in Hz. If one frequency is given, X will be split into a low- and a high-frequency component. If fc contains more than one value, X will be split into multiple complementary bands. Each filter length is 4*sampling_rate/fc. Filtering adds no group delay. |
Details
Possible input combinations: comp_filt(X,sampling_rate,fc) if X is a vector or matrix, comp_filt(X,fc = fc) if X is a list
Value
A list of filtered signals. There are n+1 sections of the list where n is the length of fc. List sections are ordered in Xf from lowest to highest frequency. Each list section contains a vector or matrix of the same size as X, and at the same sampling rate as X.
Examples
Xf <- comp_filt(X = beaked_whale$A$data, sampling_rate = beaked_whale$A$sampling_rate, fc = .15)
xf <- list(Xf1 = Xf[[1]], Xf2 = Xf[[2]])
plott_base(xf, beaked_whale$A$sampling_rate)