Digital signal processing

The dataset has 150 three-second sampling motor current signals from each synthetically-prepared motors. There are five motors with respective fault condition - bearing axis deviation (F1), stator coil inter-turn short circuit (F2), rotor broken strip (F3), outer bearing ring damage (F4), and healthy (H). The motors are run under five coupling loads - 0, 25, 50, 75, and 100%. The sampling signals are collected and processed into frequency occurrence plots (FOPs). Each image has a label, for example F2_L50_130, where F2 is the fault condition, L50 is the coupling load condition.

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1894 Views

This dataset contains the full set of experimental waveforms that were used to produce the article "Non-Linear Phase Noise Mitigation over Systems using Constellation Shaping", published in the Journal of Lightwave Technology with DOI: 10.1109/JLT.2019.2917308.

 

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413 Views

There are two datasets in the file.

The dataset 1 contains 228 image pairs which are labelled by experienced people with the true burst bubble. 

The dataset 2 contains 335 image pairs which are processed by the local motion correction. They are used for measuring the similarity. 

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705 Views

This image is geometry of distributed radar netwrok for parameter estimation. In this distributed radar netwrok, three echo signals are computed by uisng VIRAF software and CAD model of cone-shaped warhead with micro-motion dynamics.

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478 Views

In robotic grasping and manipulation, force feedback is one of the most important factors. In the absence of force feedback, force control and compliant grasping is almost impossible. In this study a novel Vibrational Haptic feedback system is designed. The system gives individual digit awareness of a multipronged robotic gripper to the user. It also gives force level feedback from each fingertip and simultaneous multiple force level feedback, all through one wearable elastic “Vibrational Haptic Band (Vi-HaB)”.

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212 Views

This raw data was used in a study looking at the correlations between 10 image quality metrics (IQMs) and the subjective image quality scores of expert radiologists. Nine MR images of the abdomin and of the brain were retrospectively degraded by noise, motion, undersampling, compression, and blurring. Each of these images we then evaluated by the radiologists and the IQM scores were calculated. This data set is made up of the radiologists' scores and the IQM scores.

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324 Views

Load datasets for "HyperDimensional Bayesian Time Mapping (HyperBaT): A Probabilistic Approach to Time Series Mapping of Non-Identical Sequences".

 

 

 

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88 Views

This is the coefficient set for Area- and Power-efficient Nearly-Linear Phase Response IIR Filter by Iterative Convex Optimization

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71 Views

Occlusion, glare and secondary reflections formed due to and on the spectacles - results in poor detection, localization, and recognition of eye/face features. We term all the problems related to the usage of spectacles as The spectacle problem. Though several studies on the spectacle detection and removal have been reported in the literature, the study focusing on spectacle problem removal is very limited. One of the main reasons being, the nonavailability of a facial image database highlighting the spectacle problems.

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6924 Views

The dataset can be used for Brain MRI study for academic purpose only. Undersampling Masks can be used for random undersampling at different sampling rates. 

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409 Views

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