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Bats have been observed to shift the frequency of their echolocation calls in the presence of other echolocating bats, ostensibly as a way to reduce acoustic interference. Few studies, however, have examined the theoretical efficacy of such jamming avoidance responses. The present study uses the wideband ambiguity function to analyze the effects of acoustic interference from conspecifics and congeneric heterospecifics on the target acquisition ability of Myotis californicus and Myotis yumanensis, specifically whether unilateral or bilateral frequency shifts reduce the effects of such interference. Model results suggest that in conspecific interactions, M. yumanensis recovers its target acquisition ability more completely and with less absolute frequency shift than does M. californicus, but that alternative methods of jamming avoidance may be easier to implement. The optimal strategy for reducing heterospecific interference is for M. californicus to downshift its call and M. yumanensis to upshift its call, which exaggerates a preexisting difference in mean frequency between the calls of the two species. Further empirical research would elucidate whether these species do in practice actively employ frequency shifting or other means for jamming avoidance, as well as illuminate the role of acoustic interference in niche partitioning.
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http://dx.doi.org/10.1121/1.5006928 | DOI Listing |
Magn Reson Med
September 2025
A.I. Virtanen Institute, University of Eastern Finland, Kuopio, Finland.
Since its introduction more than 30 years ago, the blood oxygenation level-dependent (BOLD) contrast remains the most widely used method for functional MRI (fMRI) in humans and animal models. The BOLD contrast is typically acquired with echo planar imaging (EPI) to obtain sensitization of the signal during the echo time (TE) to dynamic changes in deoxyhemoglobin content, while achieving high spatiotemporal resolution and full brain coverage. However, EPI-based fMRI also faces multiple shortcomings, including sensitivity to body motion, susceptibility-related signal dropouts, interference with multimodal sensors, and loud acoustic noise.
View Article and Find Full Text PDFJ Acoust Soc Am
September 2025
Audiology Department, College of Health and Life Sciences, Aston University, Birmingham, B4 7ET, United Kingdom.
The current study simulated bilateral and unilateral cochlear implant (CI) processing using a channel vocoder with dense tonal carriers ("SPIRAL") in 13 normal-hearing listeners. Their performance of recognizing spatial speech-in-noise was measured under the effects of three masker locations (0°, +90°, and -90°; target at 0°) and three types of maskers (steady-state noise, speech-modulated noise, and a single-talker interferer) where the maskers contained different levels of energetic and informational masking. The stimuli were spatialized using the head-related impulse responses recorded from behind-the-ear microphones of hearing aids.
View Article and Find Full Text PDFHear Res
August 2025
Medizinische Physik and Cluster of Excellence Hearing4all, Carl von Ossietzky Universität Oldenburg, Germany. Electronic address:
Considering complex acoustic scenes in rehabilitative audiology and hearing device assessments requires understanding the influence of multiple interacting factors. Speech intelligibility models provide a systematic way to explore and predict these effects. However, they must be able to deal with acoustic conditions including different numbers and spatial configurations of sound sources, and the presence of reverberation.
View Article and Find Full Text PDFSensors (Basel)
August 2025
Key Laboratory of Advanced Equipment Intelligent Manufacturing Technology of Yunnan Province, Kunming University of Science &Technology, Kunming 650500, China.
Although contact-based vibration signal methods for mechanical equipment fault diagnosis demonstrate superior performance, their practical deployment faces significant limitations. In contrast, acoustic signals offer notable deployment flexibility due to their non-contact nature. However, acoustic diagnostic methods are susceptible to environmental noise interference, and fault samples are typically scarce, leading to insufficient model generalization capability and robustness.
View Article and Find Full Text PDFSensors (Basel)
August 2025
School of Computer Electronic and Information, Guangxi University, Nanning 530004, China.
This review systematically examines intelligent event perception in distributed acoustic sensing (DAS) systems. Beginning with the elucidation of the DAS principles, system architectures, and core performance metrics, it establishes a comprehensive theoretical framework for evaluation. This study subsequently delineates methodological innovations in both traditional machine learning and deep learning approaches for event perception, accompanied by performance optimization strategies.
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