Title :
Correlative time-frequency analysis and classification of nonstationary random processes
Author :
Kozek, Werner ; Hlawatsch, Franz ; Kirchauer, Heinrich ; Trautwein, Uwe
Author_Institution :
Dept. of Math., Wien Univ., Austria
Abstract :
The expected ambiguity function (EAF) is shown to provide a generalization of stationary correlation analysis to nonstationary random processes. Important properties of the EAF are discussed, and the EAFs of special processes are considered. Based on the EAF, a fundamental classification (underspread/overspread) of nonstationary processes is introduced and shown to be relevant to time-varying spectral analysis
Keywords :
Wigner distribution; correlation theory; random processes; spectral analysis; time-frequency analysis; white noise; classification; correlative time-frequency analysis; expected ambiguity function; nonstationary random processes; overspread; stationary correlation analysis; time-varying spectral analysis; underspread; white noise; Autocorrelation; Fourier transforms; Mathematics; Random processes; Signal processing; Spectral analysis; Testing; Time frequency analysis;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1994., Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-2127-8
DOI :
10.1109/TFSA.1994.467326
