title: Visualization of system dynamics using phasegrams.
abstract: A new tool for visualization and analysis of system dynamics is introduced: the phasegram. Its application is illustrated with both classical nonlinear systems (logistic map and Lorenz system) and with biological voice signals. Phasegrams combine the advantages of sliding-window analysis (such as the spectrogram) with well-established visualization techniques from the domain of nonlinear dynamics. In a phasegram, time is mapped onto the x-axis, and various vibratory regimes, such as periodic oscillation, subharmonics or chaos, are identified within the generated graph by the number and stability of horizontal lines. A phasegram can be interpreted as a bifurcation diagram in time. In contrast to other analysis techniques, it can be automatically constructed from time-series data alone: no additional system parameter needs to be known. Phasegrams show great potential for signal classification and can act as the quantitative basis for further analysis of oscillating systems in many scientific fields, such as physics (particularly acoustics), biology or medicine.
authors.affiliation: Department of Cognitive Biology, Laboratory of Bioacoustics, University of Vienna, Althanstrasse 14, 1090 Vienna, Austria. christian.herbst@univie.ac.at
authors.forename: Christian T
authors.initials: CT
authors.lastname: Herbst
authors.forename: Hanspeter
authors.initials: H
authors.lastname: Herzel
authors.forename: Jan G
authors.initials: JG
authors.lastname: Svec
authors.forename: Megan T
authors.initials: MT
authors.lastname: Wyman
authors.forename: W Tecumseh
authors.initials: WT
authors.lastname: Fitch
mesh_terms: D001683:Biological Clocks; D008962:Models, Theoretical
keywords: Poincaré section; attractor visualization; bioacoustics; phasegram; sliding-window analysis; system dynamics