Edwin C. Kan

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We propose and demonstrate accurate 3D real-time indoor localization via broadband nonlinear backscatter in passive devices. The proposed method does not need any relative motion between a reader and a tag or the use of reference anchor nodes. In the conventional radio frequency identification (RFID) system, a passive tag responds to a reader by switching(More)
To accurately simulate modern semiconductor process steps, TCAD tools must include a variety of physical models and numerical methods. Increasingly complex physical formulations are required to account for eeects that were not important in previous generation of technology. As a speciic example, the impurity diiusion mechanisms owing to point defects and(More)
The enteric nervous system (ENS) is a major division of the nervous system and vital to the gastrointestinal (GI) tract and its communication with the rest of the body. Unlike the brain and spinal cord, relatively little is known about the ENS in part because of the inability to directly monitor its activity in live animals. Here, we integrate a transparent(More)
We demonstrate accurate real-time 3D robotic arm tracking in indoor environment via broadband RF nonlinear backscattering from passive tags, which is immune to mild visual obstruction from clothes and interior walls as well as static magnetic field distortion from the metallic structures and motors. The marker tag on the robotic arm has nonlinear(More)
BACKGROUND Computationally efficient spike recognition methods are required for real-time analysis of extracellular neural recordings. The enteric nervous system (ENS) is important to human health but less well-understood with few appropriate spike recognition algorithms due to large waveform variability. NEW METHOD Here we present a method based on(More)