Title :
Localized subclasses of quadratic time-frequency representations
Author :
Papandreou-Suppappola, Antonia ; Murray, Robin L. ; Boudreaux-Bartels, G. Faye
Author_Institution :
Dept. of Electr. Eng. & Comput. Eng., Rhode Island Univ., Kingston, RI, USA
Abstract :
We discuss the existence of classes of quadratic time-frequency representations (QTFRs), e.g. Cohen, power, and generalized time-shift covariant, that satisfy a time-frequency (TF) concentration property. This important property yields perfect QTFR concentration along group delay curves. It also (1) simplifies the QTFR formulation and property kernel constraints as the kernel reduces from 2-D to 1-D, (2) reduces the QTFR computational complexity, and (3) yields simplified design algorithms. We derive the intersection of Cohen´s class with the new power exponential class, and show that it belongs to Cohen´s localized-kernel subclass. In addition to the TF shift covariance and concentration properties, these intersection QTFRs preserve power exponential time shifts, important for analyzing signals passing through exponentially dispersive systems
Keywords :
computational complexity; delays; signal representation; time-frequency analysis; Cohen´s class; TF shift covariance; computational complexity; design algorithms; exponentially dispersive systems; generalized time-shift covariant class; group delay curves; localized subclasses; localized-kernel subclass; perfect QTFR concentration; power exponential class; power exponential time shifts; property kernel constraints; quadratic time-frequency representations; time-frequency concentration property; Algorithm design and analysis; Computational complexity; Delay; Dispersion; Fourier transforms; Kernel; Signal analysis; Speech analysis; Time frequency analysis; Tomography;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.599346