A comparative study on QDCT-based and QDFT-based methods for multichannel vibration signals compression

This paper had studied two methods for multichannel vibration signals compression, which were QDCT-based and QDFT-based method. In the experiment, the three signals data correspondent to orthogonal axes X, Y, Z were gotten by an acceleration sensor with three channels. The two methods could compress the multichannel vibration signal effectively, and also preserve the association for the signals of each channel, eliminate the noise and redundancy, extract the key features. The experiment results indicated its efficiency, and the comparative results indicated that the QDCT-based method was better than that of QDFT. Moreover that it provided a new method for multichannel signals to data compression and feature extraction.