Performance comparison for signal amplitude analysis algorithms in nano biosensor application

This paper analyses the performance of various signal amplitude analysis algorithms. Five algorithms are reviewed: automatic threshold peak detection (ATPD), automatic chromatographic peak detection (ACPD), adaptive threshold method (ATM), peak of Shannon energy envelope (PSEE), and automatic multiscale peak detection (AMPD). The selected algorithms are potential method for nano biosensor application. These algorithms are investigated for periodic and non-periodic signal. Based on the experiment results, the ATPD gives the lowest detection error(33%). In terms of computational speed, the ATM method is fastest, with a speed at least two times that of any of the other algorithms.