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Combining phase and energy detection with mathematical morphology in dual time-frequency representation leads to improved SSP noise robustness
- Source :
- Ultrasonics, Ultrasonics, Elsevier, 2001, 39 (4), pp.291-296. ⟨10.1016/S0041-624X(01)00061-0⟩
- Publication Year :
- 2001
-
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.
- 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
Subjects
Details
- ISSN :
- 0041624X
- Volume :
- 39
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Ultrasonics
- Accession number :
- edsair.doi.dedup.....254dc0fd4d4c88dc91d477555d1bf76e
- Full Text :
- https://doi.org/10.1016/S0041-624X(01)00061-0⟩