Optimal Filtered Stochastic Transmitted Waves for Fat Inclusion Detection in Milk with Harmonic Ultrasound
Résumé
In non destructive testing, improvements have been made possible by taking into account the harmonic frequencies, as in agri-food domain. The transmitted signal are often selected manually as a fixed-frequency Gaussian pulse, by taking into account the transducer bandwidth only. However, waveform should take into account all the features of the ultrasound system and of the medium. To design the waveform, a genetic algorithm looks for the best stochastic wave. One of limitations in this optimization process is the high amount of transmitted waves required to reach the optimal signal-to-noise ratio (SNR). To reduce this amount, instead of transmitting wide band stochastic waves by the transducer, stochastic waves were prefiltered by a narrow band filter similar to the transducer bandwidth. The optimization was thus applied on the detection of fat cluster in milk by maximizing the SNR, while decreasing the amount of transmitted waves
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