Signal Processing

This dataset contains EEG error-related potential signals elicited by humans while observing an AI agent play an atari-based maze game.

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137 Views

Active noise control (ANC) aims at reducing a noise source at a listening point by destructive interference with a reversed phase noise emitted by one or more controlling devices. These data are from an active vibration control (AVC) system applied to a wall of the metal box of a cogeneration plant. It makes use of electro-dynamic shakers as controllers and accelerometers as error and reference signals. The algorithm employed for generating the cancelling signals is a single-reference, single-input multiple-output (MIMO) Filtered-X Normalized Least Mean Square (FxNLMS).

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119 Views

The dataset contains the focus metrics values of a comprehensive synthetic underwater image dataset (https://data.mendeley.com/datasets/2mcwfc5dvs/1). The image dataset has 100 ground-truth images and 15,000 synthetic underwater images generated by considering a comprehensive set of effects of underwater environment. The current dataset focus on the focus metrics of these 15,100 images.

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161 Views

Wild-SHARD presents a novel Human Activity Recognition (HAR) dataset collected in an uncontrolled, real-world (wild) environment to address the limitations of existing datasets, which often need more non-simulated data. Our dataset comprises a time series of Activities of Daily Living (ADLs) captured using multiple smartphone models such as Samsung Galaxy F62, Samsung Galaxy A30s, Poco X2, One Plus 9 Pro and many more. These devices enhance data variability and robustness with their varied sensor manufacturers.

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521 Views

Hand contact data, reflecting the intricate behaviours of human hands during object operation, exhibits significant potential for analysing hand operation patterns to guide the design of hand-related sensors and robots, and predicting object properties. However, these potential applications are hindered by the constraints of low resolution and incomplete capture of the hand contact data.

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213 Views

The prototype of the calibration is verified with a 12-bit SAR ADC manufactured in 28-nm standard CMOS process. It is based on non-binary weights differential SAR ADC with bottom-plate sampling. This data was captured using a logic analyzer. The data for fast Fourier transform (FFT) is an input 1 MHz sine wave at 50MS/s. The signal input amplitude is 15dbm. The sampling points are 131072. The MATLAB code includes both the original weight and the calibration weight.

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19 Views

The synthetic data is generated loosely following the concepts developed by Skomedal and Deceglie (2020) 

"https://doi.org/10.1109/JPHOTOV.2020.3018219" , 

"https://github.com/asmunds/simulate_pv_time_series"

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232 Views

Individual physiotherapy is a significant part of the treatment for patients experiencing various forms of pain and health issues. Recent research shows rehabilitation as an important part of therapy for those with abdominal wall defects.  It also plays a crucial role in chest surgery, by helping optimize preoperative assessments and postoperative rehabilitation strategies essential for successful surgery outcomes. With recent technological advancements, new tools have become available to healthcare professionals.

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22 Views

To develop radio frequency-based drone recognition, we release an RF spectrogram dataset, named DroneRFb-Spectra. All signals of drones were collected by a Universal Software Radio Peripheral (USRP) device, recording three Industrial Scientific Medical (ISM) bands under urban scenarios. The classes cover 7 common brands, i.e., DJI, Vbar, FrSky, Futaba, Taranis, RadioLink, and Skydroid, with a total number of 14460. Each spectrogram has been downsampled to the size of 512x512 from the original IQ data with a length of 50ms by using the short-time Fourier transform.

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982 Views

A database was created in .XLSX and .CSV formats containing the processing of an EMG signal and the position and angle error during the execution of three dynamic tasks based on the three-dimensional movement of the upper limb. This data was recorded from the quantification of the hand position error.

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550 Views

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