Real-time compression algorithm of railway bridge monitoring signal based on morphology

A new real-time compression algorithm of bridge monitoring signal is introduced to decrease the data redundancy which result from oversampling of the signal. Based on morphology, two kinds of characteristic points have been chosen and applied in signal resampling with inhomogeneous sampling interval to achieve the compression goal. The Hermite interpolation formula is used to recover the signal waveform in decoding. Through the evaluate indicators which are obtained by calculating, a higher compression ratio and a much higher similitude of original signal and reinstate signal have been achieved by using the introduced algorithm in this paper.