Application of wavelet transform theory in filtering accelerometer signal

Signals collected by the accelerometer include random disturbance signal in the process of measuring flow velocity.Application of wavelet transform theory in filtering acceleration data are introduced to improve filtering effect and eliminate interference from random signal.Simulation results showed that wavelet transform had well time-frequency characters,it can detect all the harmonics and interharmonics components and decrease the measuring errors.Wavelet transform can be widely used in filtering sensor data.