Title :
Resolution measure criteria for the objective assessment of the performance of quadratic time-frequency distributions
Author :
Boashash, Boualem ; Sucic, Victor
Author_Institution :
Signal Process. Res. Centre, Queensland Univ. of Technol., Brisbane, Qld., Australia
fDate :
5/1/2003 12:00:00 AM
Abstract :
This paper presents the essential elements for developing objective methods of assessment of the performance of time-frequency signal analysis techniques. We define a measure for assessing the resolution performance of time-frequency distributions (TFDs) in separating closely spaced components in the time-frequency domain. The measure takes into account key attributes of TFDs, such as components mainlobes and sidelobes and cross-terms. The introduction of this measure allows to quantify the quality of TFDs instead of relying solely on visual inspection of their plots. The method of assessment of performance of TFDs also allows the improvement of methodologies for designing high-resolution quadratic TFDs for time-frequency analysis of multicomponent signals. Different TFDs, including the modified B distribution, are optimized using this methodology. Examples of a performance comparison of quadratic TFDs in resolving closely spaced components in the time-frequency domain, using the proposed resolution measure, are provided.
Keywords :
frequency modulation; signal representation; signal resolution; time-frequency analysis; AWGN; additive white Gaussian noise; closely spaced components; cross-terms; high-resolution quadratic TFD; mainlobes; modified B distribution; monocomponent FM signal; multicomponent FM signal; multicomponent signals; objective methods; objective performance assessment; optimization; quadratic time-frequency distributions; resolution measure criteria; resolution performance; sidelobes; time-frequency distributions; time-frequency signal analysis; time-frequency signal processing; Birds; Design methodology; Inspection; Signal analysis; Signal design; Signal processing; Signal processing algorithms; Signal resolution; Spectrogram; Time frequency analysis;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2003.810300