Abstract
A new method for computing positive time-frequency distributions (TFDs) for nonstationary signals is presented. This work extends the earlier work of the author and his colleagues in computing positive TFDs [8,11]. This paper describes a general quadratic programming approach to the problem of computing these signal-dependent distributions. The method is based on an evolutionary spectrum formulation of positive 11-Ds. The minimization problem reduces to a linearly-constrained quadratic programming problem, for which standard solutions are widely available.
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Pitton, J.W. (1998). Positive Time-Frequency Distributions via Quadratic Programming. In: Cohen, L., Loughlin, P. (eds) Recent Developments in Time-Frequency Analysis. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2838-5_14
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DOI: https://doi.org/10.1007/978-1-4757-2838-5_14
Publisher Name: Springer, Boston, MA
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