1. Combining phase and energy detection with mathematical morphology in dual time-frequency representation leads to improved SSP noise robustness
- Author
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Serge Jacquey, Michel Grevillot, J.J. Meyer, Christophe Cudel, Modélisation, Intelligence, Processus et Système (MIPS), and Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse
- Subjects
Acoustics and Ultrasonics ,Computer science ,Specular echo ,Mathematical morphology ,symbols.namesake ,Time–frequency representation ,[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing ,Robustness (computer science) ,Materials Testing ,Ultrasonics ,Split spectrum processing ,Spectrogram ,Signal processing ,Fourier Analysis ,Short-time Fourier transform ,Ultrasonic detection ,Fourier transform ,Gaussian noise ,symbols ,Minimisation ,Noise robustness ,Algorithm ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ,Algorithms - Abstract
International audience; In this paper a fusion algorithm for the detection of specular echoes blurred by coloured Gaussian noise is proposed. The phase and energy criteria, characteristic of these echoes, are handled separately. First, the detection capabilities of split spectrum (phase) and short time Fourier transform spectrogram (energy) are compared theoretically and experimentally. Second, the new algorithm based on mathematical morphology operators using both time-frequency representations is proposed. In the last part our method is shown to be more robust than absolute minimisation split spectrum processing.
- Published
- 2001
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