谱线
实现(概率)
口译(哲学)
统计物理学
过程(计算)
光谱(功能分析)
固定过程
时间演化
数学
计算机科学
物理
生物系统
应用数学
量子力学
统计
生物
程序设计语言
操作系统
标识
DOI:10.1111/j.2517-6161.1965.tb01488.x
摘要
Summary We develop an approach to the spectral analysis of non-stationary processes which is based on the concept of “evolutionary spectra”; that is, spectral functions which are time dependent, and have a physical interpretation as local energy distributions over frequency. It is shown that the notion of evolutionary spectra generalizes the usual definition of spectra for stationary processes, and that, under certain conditions, the evolutionary spectrum at each instant of time may be estimated from a single realization of a process. By such means it is possible to study processes with continuously changing “spectral patterns”.
科研通智能强力驱动
Strongly Powered by AbleSci AI