Title :
Time-frequency complexity and information
Author :
Flandrin, Patrick ; Baraniuk, Richard G. ; Michel, Olivier
Author_Institution :
Lab. de Phys., Ecole Normale Superieure de Lyon, France
Abstract :
Many functions have been proposed for estimating signal information content and complexity on the time-frequency plane, including moment-based measures such as the time-bandwidth product and the Shannon and Renyi(see 4th Berkeley Symp. Math., Stat., Prob., vol.1) entropies. When applied to a time-frequency representation from Cohen´s (1989) class, the Renyi entropy conforms closely to the visually based notion of complexity that we use when inspecting time-frequency images. A detailed discussion reveals many of the desirable properties of the Renyi information measure for both deterministic and random signals
Keywords :
computational complexity; entropy; signal representation; time-frequency analysis; Cohen´s class; Renyi entropy; Renyi information measure; Shannon entropy; deterministic signals; moment-based measures; random signals; signal information content; time-bandwidth product; time-frequency complexity; time-frequency images; time-frequency plane; time-frequency representation; Bandwidth; Chirp; Energy resolution; Entropy; Exponential distribution; Kernel; Signal analysis; Signal resolution; Spectrogram; Time frequency analysis;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.390031