Power Driven Reconfigurable Complex Continuous Wavelet Transform

Abstract

A low power VLSI implementation of reconfigurable complex continuous wavelet transform (CWT) algorithm to generate the two dimensional time scale representation of a one dimensional signal is introduced. The CWT is computationally intensive process. The CWT processor presented in this paper employs a bank of correlators. The correlators which are not needed in a certain transform are disabled to save power. So power consumption of the CWT processor depends on the number of scales. The processor has been implemented and synthesized using ALCATEL 035mu technology. Matlab, RTL and netlist simulation results verify that the implemented algorithm has the potential to be utilized as a wavelet coprocessor for fast time-scale analysis in real-time