Signal Processing

We provide results of "Robust Visual Tracking Based on Adaptive Extraction and Enhancement of Correlation Filter" on OTB2015 dataset, including the results of proposed tracker with HOG, HOGCN, and deep CNN features.
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For a detailed describtion of this dataset see accompanying publication "Stand-alone Heartbeat Detection in Multidimensional Mechanocardiograms" by Kaisti M., et al. IEEE Sensors 2018, 10.1109/JSEN.2018.2874706. This datasets consists of 29 mechanocardiogram recordings with ECG reference from healthy subjects in supine position. All data were recorded with sensors attached to the sternum using double-sided tape. Mechanocardigrams incude 3-axis accelorometer signals (seismocardiograms) and 3-axis gyroscope signals (gyrocardiograms).
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This database includes data measured by Qualcomm's 60GHz mmWave Radar.
It includes:
Face signature data base: radar face scan data of 206 individuals for face recognition.
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This repository contains ROS bags with measurements related to the article "Forklift Positioning System for Pallet Tracking in Industrial Environments". The dataset includes measurements from UWB tags, IMU, Magnetometer and Px4Flow simulated in Gazebo. Also includes the position estimations calculated using the algorithm described in the related paper.
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Deep learning belongs to the scope of artificial intelligence, which has attracted researchers all over the world. The CNN is one the most popular techniques of deep learning. In this paper, the WLAN (wireless local area network) localization is given by SVD (singular value decomposition) noise-reduction and CNN (convolutional neural network).
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This file is the low-speed wind tunnel flutter test data of a certain aeroelastic model using in our manuscript titled "Classification of flutter signals based on convolutional neural network and short-time Fourier transform", which is provide from the China Flight Test Establishment.
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A VOR receiver based on Software-Defined Radio is presented. Experiments showed that the system indicated the radials of the VOR station of São José dos Campos with an average error rate of less than 1% and a standard deviation of less than 2.14% in relation to those calculated cartographically. The results suggest that low volume and weight SDR-based VOR receivers can be developed with processing on microcontrollers or FPGAs to equip drones that need to operate in aerodrome environments.
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This data set is for the paper titled:
Channel Coding in 5G New Radio
Tutorial Overivew and Performance Comparison with 4G LTE
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This repository contains ROS bags with measurements related to the article "Forklift Positioning System for Pallet Tracking in Industrial Environments". The dataset includes measurements from UWB tags, IMU, Magnetometer and Px4Flow simulated in Gazebo. Also includes the position estimations calculated using the algorithm described in the related paper.
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This repository contains a data base of Cell Signal Quality samples obtained from 4 COTS cellphones. Data shows the dynamics of the cellular signal, and how these can be affected by the presence of human body nearby.
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