Communications
This is the dataset of mmWave massive MIMO beamspace channels, which is used for the experiment implementation of the paper "Acquiring Measurement Matrices via Deep Basis Pursuit for Sparse Channel Estimation in mmWave Massive MIMO Systems". The source code of the experiment implementation is also open-access on the Github repository DeepBP-AE.
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Reddit is one of the largest social media websites in the world and it contains valuable data about its users and their perspectives organized into virtual communities or subreddits, based on common areas of interest. Substance use issues are particularly salient within this online community due to the burgeoning substance use (opioid) crisis within the United States among other countries. A particularly important location for understanding user perceptions of opioids is the Philadelphia, Pennsylvania, USA region, due to the prevalence associated with overdose deaths. To collect user sen
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This dataset covers IP address assignment durations over 6 years, from 13/3/2014 to 26/6/2020. Around 600,000 assignment durations for IPv4 addresses and 190,000 durations for IPv6 addresses is covered. The dataset was processed from the archive of RIPE Atlas ftp.ripe.net/ripe/atlas/. IP addresses of the Atlas probes installed behind NAT are included.
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The Costas condition on a permutation matrix, expressed as row indices as elements of a vector c, can be expressed as A*c=b, where b is a vector of integers in which no element is zero. A particular formulation of the matrix A allows a singular value decomposition in which the eigenvalues are squared integers and the eigenvalues may be scaled to vectors with all integer elements. This is a database of the Costas constraint matrices A, the scaled eigenvectors, and the squared eigenvalues for orders 3 through 100.
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The database contains the raw range-azimuth measurements obtained from mmWave MIMO radars (IWR1843BOOST http://www.ti.com/tool/IWR1843BOOST) deployed in different positions around a robotic manipulator.
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Supplementary material for the paper: 'Adaptive Block Compressive Imaging: towards a real-time and low complexity implementation'
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2D geometrically shaped constellations that are simultaneously robust to both residual phase noise and AWGN (GS-RPN) for 8, 16, 32 and 64-ary formats. The presented formats are optimised at the generalised mutual information (GMI) threshold of 0.96m bits/symbol, where m is the number of bits per symbol. Additionally, we added AWGN-only constellations (GS-AWGN) to serve as a reference.
Note: This is a supplementary dataset for a journal submission.
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This MATLAB dataset (.mat) contains the collected real measurement data from a total of 470 access points (APs) deployed in the Linnanmaa campus of the University of Oulu, Finland. The measurements include IDs, dates of data collection, number of users, received traffic data, transmitted traffic data and location names of each AP. Each observation of traffic data and number of users provide the data value at every 10-minute interval between December 18, 2018 and February 12, 2019. Please cite this as: S. P. Sone & Janne Lehtomäki & Zaheer Khan.
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Including the symbol under demodulation in data-aided reference/pilot recovery process, dominates the contribution of all the received sybmols. Therefore, excluding the contribution of the symbol under detection allows other symbols to equally contributeto the reference estimation.
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Learning To Simulate Asymmetric Encryption With Adversarial Neural Networks
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