Processing Time Series Data Using the Matching Pursuit Algorithm

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Documentation for package ‘MatchingPursuit’ version 1.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

atom_params	Read atom parameters from a SQLite database
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
filters_coeff	A wrapper function for 'signal::butter()' function
gabor_fun	Gabor function implementation
gabor_proj_fft	FFT-based fast computation of inner products between a signal and Gabor atoms
omp_core	Implements Orthogonal Matching Pursuit (OMP) algorithm
omp_execute	Orthogonal Matching Pursuit decomposition for multi-channel signals
plot.ecg	The function displays ECG signals in a layout corresponding to standard paper ECG printouts
plot.edf	The function displays EEG signals
plot.mp	Plots a time-frequency (T-F) map to visualize EMPI decomposition
read_csv_signals	Reads and validates a CSV file structure
read_dict	Read dictionary of Gabor atoms from XML file
read_ecg_signals	Reads WFDB-compatible signal and header files
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 signal data
read_empi_db_file	Reads data from a SQLite file created by the Matching Pursuit algorithm
run_omp_pipeline	Run the complete OMP decomposition pipeline
sig2bin	Reads input signal(s) from a data frame and returns them in binary format
tf_map	Creates a time-frequency map using atoms from the Matching Pursuit algorithm
topk_atoms	Select best Gabor atoms based on phase-invariant similarity