Application of Fast Wavelet Transformation in Signal Processing of MEMS Gyroscope
Xunsheng Ji, Shourong Wang, Yishen Xu · Journal of Southeast University · 2006
Decomposition and reconstruction of Mallat fast wavelet transformation (WT) is described. A fast algorithm, which can greatly decrease the processing burden and can be very easy for hardware implementation in real-time, is analyzed. The algorithm will no longer have the processing of decimation and interpolation of usual WT. The formulae of the decomposition and the reconstruction are given. Simulation results of the MEMS (micro-electro mechanical systems) gyroscope drift signal show that the algorithm spends much less processing time to finish the de-noising process than the usual WT. And the de-noising effect is the same. The fast algorithm has been implemented in a TMS320C6713 digital signal processor. The standard variance of the gyroscope static drift signal decreases from 78.4355(°)/h to 36.7635(°)/h. It takes 0.014 ms to process all input data and can meet the real-time analysis of signal.