Time-varying spectrum estimators for continuous-time signals

被引：0

作者：

Scharf, LL ^{[1
]}

Friedlander, B ^{[1
]}

Mullis, CT ^{[1
]}

机构：

[1] Univ Colorado, Dept Elect & Comp Engn, Boulder, CO 80309 USA

来源：

PROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-6 | 1998年

关键词：

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Some quadratic time-frequency representations (TFRs) may be called time-varying spectrum estimators. They are derived from first principles, and they turn out to be time-varying multiwindow spectrum estimators. In special cases they are time-varying spectrograms that may be written as Fourier transforms of lag-windowed, time-varying correlation sequences or as spectrally smoothed time-varying periodograms. These are not ad-hoc variations on stationary ideas to accommodate time variation. Rather, they are the only variations one can obtain for time-varying spectrum analysis.

引用

页码：2405 / 2408

页数：4