Signal Processing
Most of the existing image fusion models.....
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dataset image
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The acoustic observation signal of the Penaeus vannamei was used in the application experiment. The experimental address is located in the Penaeus vannamei breeding base in Fengxian District, Shanghai, China. And the passive acoustic hydrophone model was Brüel&Kjær-8103 with high sensitivity −211dB re 1V/μPa. The key parameters of the application experiment were as follows. The hydrophone was placed at 2m depth underwater, the duration of the observation signal was the 90s, the signal sampling frequency was 48kHz, and the data width was 16bit.
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Minimally-Invasive Surgeries can benefit from having miniaturized sensors on surgical graspers to provide additional information to the surgeons. One such potential sensor is an ultrasound transducer. At long travel distances, the ultrasound transducer can accurately measure its ultrasound wave's time of flight, and from it, classify the grasped tissue. However, the ultrasound transducer has a ringing artifact arising from the decaying oscillation of its piezo element, and at short travel distances, the artifact blends with the acoustic echo.
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Using acoustic waves to estimate fluid concentration is a promising technology due to its practicality and non-intrusive aspect, especially for medical applications. The existing approaches are exclusively based on the correlation between the reflection coefficient and the concentration. However, these techniques are limited by the high sensitivity of the reflection coefficient to environmental conditions changes, even slight ones. This introduces inaccuracies that cannot be tolerated in medical applications.
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The following dataset consists of samples of acoustic characteristics of 356 Russian-speaking subjects and measured psychological traits. All the recordings (5701 samples) were processed and acoustic characteristics were calculated.
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The experiment is based on the open source RSRP data provided by Huawei Technologies Co., LTD. It measures RSRP of 415,244 signal receiving points in 180 dense urban communication cells.
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A commonly used definition of spatial disorientation (SD) in aviation is "an erroneous sense of one’s position and motion relative to the plane of the earth’s surface". There exists a wide range of SD use-cases dictated by situational factors, therefore SD has been predominantly studied using reduced motion detection experimental contexts in isolation. The study of SD by use-case makes it difficult to understand general SD occurrence and thus provide viable solutions. To investigate SD in a generalized manner, a two-part Human Activity Recognition (HAR) study was performed.
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The leakage data of the natural gas pipeline comes from the simulated leakage device of the pressure pipeline. The pipeline material is seamless steel pipe, the outer diameter of the pipeline is 108mm, the wall thickness of the pipeline is 4.5mm, and the length of the pipeline is about 100m. According to the specifications of the air compressor and air storage tank (the maximum allowable pressure is 2Mpa) and the standard of high-pressure and sub-high-pressure pipeline gas transmission pressure, the selected experimental pressure range is 0.5Mpa to 2Mpa.
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This repository contains the data related to the paper “CNN-Based Image Reconstruction Method for Ultrafast Ultrasound Imaging” (10.1109/TUFFC.2021.3131383). It contains multiple datasets used for training and testing, as well as the trained models and results (predictions and metrics). In particular, it contains a large-scale simulated training dataset composed of 31000 images for the three different imaging configuration considered (i.e., low quality, high quality, and ultrahigh quality).
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