基于提升算法的低速目标信号提取与生命信号检测应用

根据小波变换的多分辨率特性,提示选择合适小波,在噪声背景下检测和提取低速目标信号.该方法基于提升算法,完成信号分解、通道提取、信号重构和信号检测等系列处理,其计算精度高,运算速度快,存储需求量少.仿真结果表明该法比传统滤波方法能更有效地提取和检测出目标信号,实时性、应用性更强.文中还介绍了该法在呼吸信号检测,生命探测等方面的实际应用.

Lifting Scheme Based Low Velocity Targets Extraction and its Application in Life-signal Detection

Low velocity target (LVT) signal detection and extraction is a nodus and hotspot in the signal processing domain. The traditional filtering method is undesirable because of its low efficiency and weak effect. A convenient method based on multiresolution of DWT is proposed for the detection and extraction of the LVT signal from noise. The method is based on the lifting scheme of DWT and considers wavelet cores selection first. Signal decomposition, extraction and reconstruction are all completed on the initial signal repeatedly for several times. These operations require less computation and memory but produce precise results. The application of the method to life-signal or respiration detection is discussed in this paper and experiment results show the method to be effectual and practical.