Digital signal processing

In this study, a primary IMU-based gait dataset has been collected from 30 participants using a MOTI goniometer. This device collects movement data related to specific joints depending on the location of the device. The MOTI sensor contains an IMU consisting of an accelerometer, gyroscope, and magnetometer. Accelerometers measure acceleration the acceleration of the device, gyroscopes measure angular velocity of the device, and magnetometers measure the magnetic field of the Earth. In our study, the device was attached to arm and leg (thigh) positions.

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This is a test - please ignore

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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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375 Views

nobody

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Pipaset preveiw is linked with pipaset and TEAS Multimodal dataset and annotation system automatic music transcription and expressionness analysis  dedicated to Chinese music instrument pipa. This dataset 

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The dataset consists of three parts, the first part consists of single notes and playing technique samples, and the second includes the triple viewed video, steoro-microphone recordings and 4 track optical vibration recordings in raw file for famous Chinese Folk music ‘Jasmine Flower’ and the first section of ‘Ambush from ten sides’. The third part concerns about the source separated tracks from optical recordings and expressive annotation files are included in the annotation files.

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Clamp-on ultrasonic transit time difference flow meters provide opportunities for metering where it is impractical or undesirable to cut into an existing pipeline to install an alternative flow meter. Up until now, it has been difficult to perform this type of measurement on thin-walled metal pipes, due to the difficulty of interpreting the guided wave modes in the combined pipe wall and internal fluid system, but a new method has been reported recently that utilises these guided wave modes for flow measurement.

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One of the weak points of most of denoising algoritms (deep learning based ones) is the training data. Due to no or very limited amount of groundtruth data available, these algorithms are often evaluated using synthetic noise models such as Additive Zero-Mean Gaussian noise. The downside of this approach is that these simple model do not represent noise present in natural imagery.

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702 Views

The C3I Thermal Automotive Dataset provides > 35,000 distinct frames along with annotated thermal frames for the development of smart thermal perception system/ object detection system that will enable the automotive industry and researchers to develop safer and more efficient ADAS and self-driving car systems. The overall dataset is acquired, processed, and open-sourced in challenging weather and environmental scenarios. The dataset is recorded from a lost-cost yet effective 640x480 uncooled LWIR thermal camera.

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2810 Views

A synthetic dataset designed to evaluate transfer learning performance for RF domain adaptation in the publication Assessing the Value of Transfer Learning Metrics for RF Domain Adaptation. The dataset contains a total of 13.8 million examples, with 600k examples each of 22 modulation schemes (given below) and AWGN noise (200k each for training, validation, and testing); 512 raw IQ samples per example.

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1133 Views

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