摘要
针对通用的数据压缩算法不能合理利用脉冲信号的特点,提出一种基于脉冲识别的瞬态脉冲信号压缩新方法,并在MATLAB平台对实测的多组地震动信号数据进行压缩和重建分析。实验结果证明,该算法可实现信号中有效脉冲段的分离,完成信号高效压缩。该压缩方法,算法结构简单,便于硬件实现。
According to the characteristics of common data compression algorithms making use of pulse signals ineffectively, a new random pulse signal compression algorithm is proposed in this paper based on pulse recognition technology . And then, multi-groups seismic signal data are compressed and reconstructed on MATLAB platform. The experimental results show that the algorithms can make the effective pulse periods of pulse signals separated sufficiently and get effective compression. This compression algorithm is simple and easy to implement.
出处
《传感器世界》
2013年第5期41-43,共3页
Sensor World
关键词
时间序列
统计方法
脉冲识别
数据压缩
算法仿真
time series
statistical
pulse recognition
data compression
algorithm simulation
