Signal processing for computer-assisted instruction of sight singing [PDF]
The Journal of the Acoustical Society of America, 1995 SST (Sight Singing Tutor) is a computer-assisted instructional program to teach the skill of singing melodies at sight. The program displays a melody on the screen, accepts acoustic input from a user, then evaluates the user’s attempt to sing the melody. SST’s primary signal processing tasks are frequency identification, note segmentation, and matching
Lloyd Smith, Rodger McNab
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, 2021 The medical field is creating large amount of data that physicians are unable to decipher and use efficiently. Moreover, rule-based expert systems are inefficient in solving complicated medical tasks or for creating insights using big data. Deep learning
Bizopoulos, Paschalis +1 more
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Using CamiTK for rapid prototyping of interactive Computer Assisted Medical Intervention applications [PDF]
, 2013 Computer Assisted Medical Intervention (CAMI hereafter) is a complex multi-disciplinary field. CAMI research requires the collaboration of experts in several fields as diverse as medicine, computer science, mathematics, instrumentation, signal processing,
Bailet, Mathieu +13 more
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Real-time diagnostics of gas/water assisted injection moulding using integrated ultrasonic sensors [PDF]
, 2007 YesAn ultrasound sensor system has been applied to the mould of both the water and gas assisted injection moulding processes. The mould has a cavity wall mounted pressure sensor and instrumentation to monitor the injection moulding machine.
Brown E. C. +17 more
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Groupwise Multimodal Image Registration using Joint Total Variation [PDF]
, 2020 In medical imaging it is common practice to acquire a wide range of modalities (MRI, CT, PET, etc.), to highlight different structures or pathologies.
A Collignon +32 more
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Radar and RGB-depth sensors for fall detection: a review [PDF]
, 2017 This paper reviews recent works in the literature on the use of systems based on radar and RGB-Depth (RGB-D) sensors for fall detection, and discusses outstanding research challenges and trends related to this research field.
Cippitelli, Enea +3 more
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Segmentation-assisted detection of dirt impairments in archived film sequences [PDF]
, 2007 A novel segmentation-assisted method for film dirt detection is proposed. We exploit the fact that film dirt manifests in the spatial domain as a cluster of connected pixels whose intensity differs substantially from that of its neighborhood and we ...
Ren, Jinchang, Vlachos, T.
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Human mobility monitoring in very low resolution visual sensor network [PDF]
, 2014 This paper proposes an automated system for monitoring mobility patterns using a network of very low resolution visual sensors (30 30 pixels). The use of very low resolution sensors reduces privacy concern, cost, computation requirement and power ...
Aghajan, Hamid +13 more
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Parallel-Interference-Cancellation-Assisted Decision-Directed Channel Estimation for OFDM Systems using Multiple Transmit Antennas [PDF]
, 2005 The number of transmit antennas that can be employed in the context of least-squares (LS) channel estimation contrived for orthogonal frequency division multiplexing (OFDM) systems employing multiple transmit antennas is limited by the ratio of the ...
Hanzo, L., Munster, M.
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Computer-Assisted Processing of Current Step Signals in Single Blocking Impact Electrochemistry
ACS Measurement Science AuCurrent step signals related to single-entity collisions in blocking impact electrochemistry were analyzed by computer-assisted processing for estimating the size distributions of various particles. In this work, three different types of entities were studied by single blocking impact electrochemistry: polystyrene nanospheres (350 nm diameter) and ...
Arthur Langlard +5 more
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