R: Processing Time Series Data Using the Matching Pursuit Algorithm

# Processing Time Series Data Using the Matching Pursuit Algorithm

## Documentation for package ‘MatchingPursuit’ version 1.0.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

atom.params | Reading the atom parameters
clear.cache | Clear MatchingPursuit Cache
eeg.montage | Performs bipolar, reference or average EEG montage
empi.check | Checks if EMPI external software is installed
empi.execute | Launches the empi program
empi.install | Installs the EMPI external program
empi.locate | Get required external software localization
empi2tf | Creates a time-frequency map using atoms from the Matching Pursuit algorithm
filters.coeff | A wrapper function for 'signal::butter()' function
gabor.fun | Gabor function implementation
read.csv.signals | Reads and checks if the csv file has the correct structure
read.edf.params | Reads a selected EDF or EDF+ file and returns signal parameters
read.edf.signals | Reads a selected EDF or EDF+ file and returns all signals data
read.empi.db.file | Reads data from a SQLite file created by the Matching Pursuit algorithm
sig2bin | Reads input signal(s) from a data frame and returns them in binary format