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An active time domain detector in the uncertain ocean environment is proposed in this paper. The detector can use the a priori information of the uncertain ocean acoustic parameters to improve the detection performance. The Monte Carlo integration method is used in the detector to speed up the detection procedure. Matched-ocean detector, mean-ocean detector and energy detector were also presented...
Uncertainty in ocean environmental parameters is often the dominant source of uncertainty in an underwater acoustic field calculation. In addition, the relationship between environmental parameters and the resulting field prediction may be highly nonlinear, leading to the explicit determination of the resulting field uncertainty uneasy. The direct Monte Carlo (MC) sampling method which is conventionally...
The effect of microbubble size on the acoustic properties of ultrasound contrast agents has been studied over the clinical frequency range (<10MHz), but comparable research at high frequency is limited. As a further development of high frequency ultrasound in preclinical, intravascular and superficial tissue imaging, this study quantified the attenuation and contrast to tissue ratio (CTR) of two...
High frequency ultrasound (>15 MHz) is used in the fields of pre-clinical, intravascular, ophthalmology and superficial tissue imaging. Tissue-equivalent phantoms have previously been developed to enable relevant quality assurance measurements for frequencies lower than 15MHz but to date limited data is available on the acoustic properties of tissue equivalent material at frequencies higher than...
A priori knowledge of noise information at array sensors is necessary in the optimization procedure with aim of improving passive broadband detection performance of array. When several noise sources are present and/or an analytical expression of the noise transfer function is not available, the sensor noise needs to be measured in the optimization which is very demanding when an array with large number...
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