Improving recovery of ECG signal with deterministic guarantees using split signal for multiple supports of matching pursuit (SS-MSMP) algorithm

The compressed sensing (CS) is a new field used for signal acquisition and design of sensor that made a large drooping in the cost of acquiring sparse signals. In this paper, new algorithms are developed to improve the performance of the greedy algorithms.In this paper new greedy pursuit algorithms; SS-MSMP (Split Signal for Multiple Support of Matching Pursuit) is introduced and theoretical analyses are given. The SS-MSMP is suggested for sparse data acquisition, in order to reconstruct analog and efficient signals via a small set of general measurements.

Source: Computer Methods and Programs in Biomedicine - October 26, 2016 Category: Bioinformatics Authors: Israa Shaker Tawfic, Sema Koc Kayhan Source Type: research