Mathematical and software-hardware tools for modern hydroacoustic monitoring systems

M. Kupriyanov, A. Dorokhov, D. Klionskiy, I. Seleznev
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Abstract

The paper discusses filter bank implementations in hydroacoustic monitoring tasks and a new modification of the weighted overlap-add algorithm for vector (multichannel) signal processing. We provide the results of filter bank implementation using the central processing unit and the CUDA technology and show that CUDA is more efficient for long signal sets. Finally, we cover some aspects of data visualization in hydroacoustic monitoring tasks.
现代水声监测系统的数学和软硬件工具
本文讨论了水声监测任务中滤波器组的实现,以及矢量(多通道)信号处理加权叠加算法的一种新改进。我们提供了使用中央处理器和CUDA技术实现滤波器组的结果,并表明CUDA对于长信号集更有效。最后,介绍了水声监测任务中数据可视化的几个方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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