结合矢量量化与远间隔预测的振动遥测信号压缩方法

Viberation Telemetery Signal Compression Method Based on Vector Quantization and Distant Gap Prediction

本文针对一类准周期性振动遥测信号的特点 ,提出了一种结合矢量量化与远间隔样值预测的数据压缩的新方法 .此方法充分利用了矢量量化和远间隔样值预测的优点 ,并将二者有机地结合起来 ,从而形成了一种有效的压缩方法 .这种方法对振动信号中周期性较强部分获得了很高的压缩比 ,而且运算速度快 ,可在嵌入单片机的系统中实现 .实验中对 10kHz抽样的振动信号进行压缩 ,获得了约 5 0倍的压缩比和

In this paper, we propose a data compress method which is based upon Vector Quantization and distant gap prediction for a kind of near-periodical telemetry viberation signal. This method takes full advantage of the virtue of Vector Quantization and distant gap prediction, combine both them very well and form a kind of effective method. Large compression ratio can be made for strong periodic viberation signal and speedy calculation can be implement by a micro-controller. Through copressing viberation signal which is sampled by 10 kHz, we got 50 times compression ratio, after uncompressing average each point recovering error is less than 3%.