A Consideration on Computational Complexity Reduction by Log-GMRS

This paper investigates the reduction of computational complexity of the log-geometric mean for real-time serial-to-parallel converter (Log-GMRS), a signal analysis method suitable for edge computing architecture in Internet of Things (IoT). Log-GMRS is advantageous in terms of the computational complexity while it achieves high resolution in a low frequency band. This paper quantitatively evaluates the computational complexity reduction of Log-GMRS comparing with GMRS.