Analog signal processing
Touch-screens are the basic and convenient human-computer interface. They are extensively used in digital musical applications, where a complex action-perception loop is involved. Therefore, it is crucial to establish a rich vibrotacticle feedback to improve the quality of the user's interaction. This paper explores the capacity of Generative Adversarial Networks (GANs) to generate time-reversed signals that can achieve localized vibrotactile feedback on a rigid surface.
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This data set includes raw data from the RFID reader and the processed attributes.
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This is the dataset we collected for the article "Scalable Undersized Dataset RF Classification: Using Convolutional Multistage Training". 17 objects were collected in the laboratory and scanned using a 'cw radar' setup featuring 2x UWB antennas (1 transmit antenna, 1 receive antenna), inside anechoic chamber. There was no clutter added in the experiment.
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“Phase Shifting Matching Network Designer” is Windows executable software developed using Python. The software is helpful in the design of lumped Pi, T, L and inverted-L matching networks. Using this software, the user can design a desired phase matching network for given load and source impedances.
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Objective: Fully differential topologies are well-suited for biopotential amplifiers, mainly for single-supply battery-powered circuits such as portable wearable devices where a reduced number of parts is desired. A novel fully differential biopotential amplifier is proposed with the goal of providing electrode offset rejection, bandwidth limitation, and a temporal response compliant with biomedical standards with only a single commercial quad operational amplifier (OA) integrated circuit.
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A demo for examing the Pulse Shrinking TDC's external capturing performance.
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This is the data for the paper we prepared titled ''High-performance digital lock-in amplifier module based on open-source FPGA: Implementation and applications''. In this work, a high-performance digital lock-in amplifier module based on an open-source FPGA is constructed. The module is calibrated based on the obtained correction curves of the demodulation results such as amplitude and phase. As demonstrations, the phase difference and thermal noise measurement are carried out by using the module.
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The Dada dataset is associated with the paper "Sensor-Embedded Novel Holding Device for Training Hand and Upper Extremity Functions." The data is the results of processed IMU and force sensors. The other files include basic information about the participants and other traditional hand and upper extremity functional evaluation tools. The dataset DOES NOT contain raw data extracted from the device. If the reviewers needed to see the raw data. Please contact the authors. Thank you.
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