Transient Artifact Reduction Algorithm (TARA)

Transient Artifact Reduction Algorithm (TARA) based on Sparse Optimization

IEEE Transactions on Signal Processing, 2014.
Ivan W. Selesnick, Harry L. Graber, Yin Ding, Tong Zhang, Randall L. Barbour

Web: http://eeweb.poly.edu/iselesni/tara/

Software version: 1

This software accompanies the above paper which addresses the suppression of transient artifacts in signals, e.g., biomedical time series.

Matlab implementation of transient artifact reduction algorithm (TARA)

lpfcsd.m: low-pass filtering / compound sparse denoising
lpfcsd2.m: LPFCSD with input parameters {theta, sigma}
tara_L1.m: TARA using the L1 norm penalty
tara2_L1.m: TARA using the L1 norm penalty, with input parameters {theta, beta, sigma}
tara.m: TARA with non-convex penalties
tara2.m: TARA with non-convex penalties, with input parameters {theta, beta, sigma}

Examples in Matlab

LPFCSD_Example Low-pass filtering and compound sparse denoising
TARA_Example1 TARA applied to NIRS data
TARA_Example2 TARA applied to NIRS data

Acknowledgment

This research was supported by the NSF under Grant No. CCF-1018020, the NIH under Grant Nos. R42NS050007, R44NS049734, and R21NS067278, and by DARPA project N66001-10-C-2008.