The spectrogram, which is a plot of the spectral intensity of a signal over time, has been widely used in acoustic signal processing because many signals, such as speech, animal vocalizations, music, and the sonar backscatter from elastic objects, have frequencies that change over time, which convey important information about the signal or source from which it originated. Since the development of the spectrograph at Bell Laboratories in the 1940s, more modern methods for time-frequency analysis, such as the Choi–Williams and Zhao–Atlas–Marks distributions, have been developed, which overcome some of the limitations of the spectrogram and, in particular can show time-frequency detail in the signal that is obscured by the spectrogram. We will discuss these methods and the general area of time-frequency acoustic signal analysis with examples drawn from a variety of applications. A particular focus will be made on showing how time-frequency analysis, and also position-wavenumber analysis, can be used to formulate and gain physical insights into dispersive pulse propagation. We will also comment on and illustrate the use of wavelets for time-frequency analysis. [Work supported by ONR 321US.]
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