Abstract
AbstractWe created variant maps based on bat echolocation call recordings and outline here the transformation process and describe the resulting visual features. The maps show regular patterns while characteristic features change when bat call recording properties change. By focusing on specific visual features, we found a set of projection parameters which allowed us to classify the variant maps into two distinct groups. These results are promising indicators that variant maps can be used as basis for new echolocation call classification algorithms.
Highlights
The identification of echolocation calls is essential to the research and conservation of bat species [1]
The created variant maps have a regular structure, but characteristic features vary strongly with each recording. These results show that variant maps can be used to extract usable information from bat echolocation recordings
Our main result is that all variant maps created from bat echolocation calls show regular patterns while characteristic visual features vary with each recording
Summary
The identification of echolocation calls is essential to the research and conservation of bat species [1]. This step offers the possibility to analyze the bat call recordings from a completely different point of view It provides additional degrees of freedom which allow a further optimization of the identification process, e.g., by supplementing the information obtained from a Fourier analysis of the bat calls. Our method to transform the bat call recordings is based on measures proposed by Zheng [15] in the 1990s to partition special phase spaces in binary image analysis These methods were extended in the 2010s [3, 16] and successfully used to classify quantum interactions [17, 18], differently encrypted messages [19], and noncoding DNA [20, 21]. Similar to these works, we transform the bat call recordings using variant measures to obtain variant maps. These results show that variant maps can be used to extract usable information from bat echolocation recordings
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