Time-frequency approximations, with application to filtering, modulation and propagation - art. no. 63130S

被引:1
作者
Loughlin, Patrick J. [1 ]
机构
[1] Univ Pittsburgh, Pittsburgh, PA 15261 USA
来源
Advanced Signal Processing Algorithms, Architectures, and Implementations XVI | 2006年 / 6313卷
关键词
D O I
10.1117/12.684023
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Signals with time-varying spectral content arise in a number of situations, such as in shallow water sound propagation, biomedical signals, machine and structural vibrations, and seismic signals, among others. The Wigner distribution and its generalization have become standard methods for analyzing such time-varying signals. We derive approximations of the Wigner distribution that can be applied to gain insights into the effects of filtering, amplitude modulation, frequency modulation, and dispersive propagation on the time-varying spectral content of signals.
引用
收藏
页码:S3130 / S3130
页数:9
相关论文
共 17 条
[11]   Moment features invariant to dispersion [J].
Loughlin, P ;
Cohen, L .
AUTOMATIC TARGET RECOGNITION XIV, 2004, 5426 :234-246
[12]  
LOUGHLIN P, 2006, IN PRESS IEEE SIG PR
[13]   A Wigner approximation method for wave propagation (L) [J].
Loughlin, PJ ;
Cohen, L .
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2005, 118 (03) :1268-1271
[15]  
OKOPAL G, 2006, P SPIE DEF SEC S, V6234, P14
[16]  
Tolstoy I., 1966, Ocean Acoustics: Theory and Experiment in Underwater Sound
[17]  
WHITHAM GB, 1974, LINEAR NONLINEAR WAV