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MIT News (2014). Extracting Audio from Visual Information Algorithm Recovers Speech from the Vibrations of a Potato-Chip Bag Filmed through Soundproof Glass.
http://news.mit.edu/2014/algorithm-recovers-speech-from-vibrations-0804

has been cited by the following article:

• TITLE: Techniques for the Extraction of Vibrational Signature: A New Method of Pottery Shard Identification

  AUTHORS: Baxton R. Chen

  KEYWORDS: Pottery, Vibration, Identification, Algorithm, Signature

  JOURNAL NAME: Archaeological Discovery, Vol.6 No.3, June 19, 2018

  ABSTRACT: Pottery shards are conventionally classified based on their color, surface texture, density, thickness, curvature, material, and shape. We previously reported a method of identifying pottery shards based on their vibrational characteristics with ultrasound stimulation. We now detail the experimental procedure necessary for the extraction of such signatures. With the method of rapid and inexpensive vibrational signature extraction and comparison to a known database library, the technique provides a potential method of onsite shard identification.