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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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AMIVU Acoustic Map Imaging VUB-ULB Dataset

Authors: Almasri, Feras; Vandendriessche, Jurgen; Vandendriessche, Jurgen; Segers, Laurent; Segers, Laurent; Da Silva Gomez, Bruno; Da Silva Gomez, Bruno; +7 Authors

AMIVU Acoustic Map Imaging VUB-ULB Dataset

Abstract

This dataset contains a collection of both real captured and simulated acoustic images of the UMAP acoustic camera. Real captured images contain a single sound source for different positions and frequencies. The images are generated by first capturing the microphone signals and later process them for different resolutions. The simulated acoustic images are generated by simulating two sound sources at mirrored angles for different frequencies between 2kHz and 10kHz, with steps of 500Hz. These frequencies are independent of each other. The sound sources start at a position of 60° and move in steps of 2° towards the center. The distance between the sound sources and the center of the array is always 1m. This gives a total of 16 positions for the sound sources and 289 images per position. Each image is generated for 4 different resolutions (640 × 480, 320 × 240, 160 × 120, 80 × 60). For each one dataset was generated using fractional delays and another without fractional delays with a total of 36992 images. Images are standardized using instance min-max normalization and logged with uint8 data type, then converted to grayscale in the range [0 - 255] and saved as PNG format with zero compression. File naming for the simulated images: Pos_<angle_of_the_sound_sources>_R_<frequency_soundsource_1>_L_<frequency_soundsource_2> For more Information and citation please refer to the paper below. @Article{s21103453, AUTHOR = {Almasri, Feras and Vandendriessche, Jurgen and Segers, Laurent and da Silva, Bruno and Braeken, An and Steenhaut, Kris and Touhafi, Abdellah and Debeir, Olivier}, TITLE = {XCycles Backprojection Acoustic Super-Resolution}, JOURNAL = {Sensors}, VOLUME = {21}, YEAR = {2021}, NUMBER = {10}, ARTICLE-NUMBER = {3453}, URL = {https://www.mdpi.com/1424-8220/21/10/3453}, ISSN = {1424-8220}, DOI = {10.3390/s21103453} }

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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