Abstract
Lofargram is a processing method for analyzing the temporal structure of passive sonar signals by spectral analysis. The authors have proposed to suppress the impulse noise on lofargram using morphological opening filter instead of averaging procedure which has been used generally. In our experimental results, the effective improvements of the processing gain and the time resolution have been obtained as compared with averaging procedure.However, a large amount of the calculation time of morphological opening filter occurred by the memory access bottleneck with software implementation has been an obstacle to the real-time processing. In this paper, the parallel algorithm of morphological opening filter for lofargram using the distributivity by the structuring element is proposed for the high speed calculation. This algorithm is inspected by the execution results using MIMD parallel machine. Then, the limitation of this method and the performance of the processor node for the real-time smoothing of lofargram are estimated.
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