论文标题
信号处理，声学超材料与生物学之间的渐近联系
Asymptotic links between signal processing, acoustic metamaterials and biology
论文作者
论文摘要
仿生是一门强大的科学，它利用自然的非凡能力来设计创新的解决方案，以解决具有挑战性的问题。在这项工作中，我们使用渐近方法来开发数学基础，以交换设计灵感以及生物听力系统，信号处理算法和声学超材料之间的特征。我们的起点是对高对比度的超材料的简洁渐近分析。我们能够以相同的尺度微调这种分级结构，以模仿耳蜗的生物力学特性。然后，我们将注意力转向开发仿生信号处理算法。我们将耳蜗样的超材料的响应用作初始滤波层，然后添加其他仿生处理阶段，旨在模仿人类听觉系统识别自然声音的全局特性的能力。这证明了三向思想交流，通过我们的分析，信号处理，超材料和生物学之间的可能性是可能的。
Biomimicry is a powerful science that takes advantage of nature's remarkable ability to devise innovative solutions to challenging problems. In this work, we use asymptotic methods to develop the mathematical foundations for the exchange of design inspiration and features between biological hearing systems, signal processing algorithms and acoustic metamaterials. Our starting point is a concise asymptotic analysis of high-contrast acoustic metamaterials. We are able to fine tune this graded structure to mimic the biomechanical properties of the cochlea, at the same scale. We then turn our attention to developing a biomimetic signal processing algorithm. We use the response of the cochlea-like metamaterial as an initial filtering layer and then add additional biomimetic processing stages, designed to mimic the human auditory system's ability to recognise the global properties of natural sounds. This demonstrates the three-way exchange of ideas that, thanks to our analysis, is possible between signal processing, metamaterials and biology.
