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Joint human motion recognition and breathing frequency estimation for indoor healthcare applicationsCORTES PERALTA, Max (author)The challenge of dealing with patients suffering from chronic diseases and an aging population requires evolving from traditional hospital-based healthcare systems into a person-centered approach, where patients can be monitored remotely via modern technologies by cost-effective and reliable solutions based on emerging technologies in the...master thesis 2022
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Li, Xingzhuo (author)Powered by technological advances, commercial drones have wide applications in areas such as photography, search, and rescue. However, the popularity of drones has raised technical and safety challenges for drone management and supervision. Traditional detect-before-track sensing approaches have reduced performance due to drones' low radar cross...master thesis 2022
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van der Werf, Ids (author)Sound pressure varies over space and time. Knowledge about this exact behavior has many applications, e.g., room compensation, dereverberation and sound field reconstruction. Inside enclosures, the sound field is influenced by the surroundings, such as the geometry of the enclosure and the materials used.<br/>Reconstructing a satisfying sound...master thesis 2022
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Van der Werf, I. (author), Martinez-Nuevo, Pablo (author), Møller, Martin Bo (author), Hendriks, R.C. (author), Martinez, Jorge (author)The sound field in a room can be represented by a weighted sum of room modes. To estimate the room modes, current literature uses on-the-grid, sparse reconstruction methods. However, these on-the-grid methods are known to suffer from basis mismatch. In this work, we investigate the use of a gridless framework for estimating room modes using...conference paper 2022
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- van Gaalen, Bas (author) master thesis 2018