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Application of fast wavelet transformation in signal processing of MEMS gyroscope

机译:快速小波变换在MEMS陀螺仪信号处理中的应用

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摘要

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. 435 5 (°)/h to 36. 763 5 (°)/h. It takes 0. 014 ms to process all input data and can meet the real-time analysis of signal.
机译:描述了Mallat快速小波变换(WT)的分解和重构。分析了一种快速算法,该算法可以大大减少处理负担,并且对于硬件的实时实现非常容易。该算法将不再具有普通WT的抽取和内插处理。给出了分解和重构的公式。 MEMS(微电子机械系统)陀螺仪漂移信号的仿真结果表明,与常规WT相比,该算法花费更少的处理时间来完成降噪过程。并且去噪效果是相同的。快速算法已在TMS320C6713数字信号处理器中实现。陀螺仪静态漂移信号的标准方差从78. 435 5(°)/ h降低到36. 763 5(°)/ h。处理所有输入数据需要0. 014毫秒,可以满足信号的实时分析。

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