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A Radially-Gaussian, Signal-Dependent Time-Frequency Representation

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Title: A Radially-Gaussian, Signal-Dependent Time-Frequency Representation
Author: Baraniuk, Richard G.; Jones, Douglas L.
Type: Conference Paper
Citation: R. G. Baraniuk and D. L. Jones,"A Radially-Gaussian, Signal-Dependent Time-Frequency Representation," in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),, pp. 3181-3184.
Abstract: An optimization formulation for designing signal-dependent kernels that are based on radially Gaussian functions is presented. The method is based on optimality criteria and is not ad hoc. The procedure is automatic. The optimization criteria are formulated so that the resulting time-frequency distribution (TFD) is insensitive to the time scale and orientation of the signal in time-frequency. Examples demonstrate that the optimal-kernel TFD offers excellent performance for a larger class of signals than any current fixed-kernel representation. The technique performs well in the presence of substantial additive noise, which suggests that it may prove useful for automatic detection of unknown signals in noise. The cost of this technique is only a few times greater than that of the fixed-kernel methods and the 1/0 optimal kernel method.
Date Published: 1991-04-01

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  • ECE Publications [1032 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.