Christakos C N, Rost I, Windhorst U
Pflugers Arch. 1984 Jan;400(1):100-5. doi: 10.1007/BF00670543.
Spectral analysis provides a description of the moments of random signals and enables the characterization of the behaviour of systems in terms of input-output relations. The merits of such an approach in the study of signal transmission in skeletal muscle are described in this paper. The representation of neural spike trains as impulse sequences and the subsequent treatment appropriate for this kind of analysis are discussed together with some practical problems. Spectral analysis of muscle afferent signals is applied to data obtained from cat experiments, and the use of the related frequency-domain techniques is demonstrated on a subsystem of the stretch reflex.
频谱分析提供了对随机信号矩的描述,并能够根据输入-输出关系来表征系统的行为。本文描述了这种方法在骨骼肌信号传输研究中的优点。讨论了将神经脉冲序列表示为脉冲序列以及适合这种分析的后续处理方法,以及一些实际问题。将肌肉传入信号的频谱分析应用于从猫实验中获得的数据,并在牵张反射的一个子系统上展示了相关频域技术的应用。