Digital signal processing

Dataset asscociated with a paper to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence

"The perils and pitfalls of block design for EEG classification experiments"

The paper has been accepted and is in production.

We will upload the dataset when the paper is published.

This is a placeholder so we can obtain a DOI to include in the paper.

73 views
  • Artificial Intelligence
  • Last Updated On: 
    Fri, 04/24/2020 - 16:39

    This work develops a novel power control framework for energy-efficient powercontrol in wireless networks. The proposed method is a new branch-and-boundprocedure based on problem-specific bounds for energy-efficiency maximizationthat allow for faster convergence. This enables to find the global solution forall of the most common energy-efficient power control problems with acomplexity that, although still exponential in the number of variables, is muchlower than other available global optimization frameworks.

    64 views
  • Machine Learning
  • Last Updated On: 
    Thu, 04/09/2020 - 09:49

    This dataset is composed of 4-Dimensional time series files, representing the movements of all 38 participants during a novel control task. In the ‘5D_Data_Extractor.py’ file this can be set up to 6-Dimension, by the ‘fields_included’ variable. Two folders are included, one ready for preprocessing (‘subjects raw’) and the other already preprocessed ‘subjects preprocessed’.

    130 views
  • Machine Learning
  • Last Updated On: 
    Fri, 05/29/2020 - 16:24

    This dataset is associated with the paper entitled "DeepWiPHY: Deep Learning-Based IEEE 802.11ax Receiver". It has synthetic and real-word IEEE 802.11ax OFDM symbols. The synthetic dataset has around 110 million OFDM symbols and the real-world dataset has more than 14 million OFDM symbols. Our comprehensive synthetic dataset has specifically considered typical indoor channel models and RF impairments. The real-world dataset was collected under a wide range of signal-to-noise ratio (SNR) levels and at various locations in a large office. To create this real-world dataset, we built a passive

    149 views
  • Artificial Intelligence
  • Last Updated On: 
    Sat, 04/11/2020 - 01:38

    This dataset aims at providing a toy demo for the comparison between the doubly orthogonal matching pursuit (DOMP) and its predecessor, the OMP.

    64 views
  • Nonlinear signal processing
  • Last Updated On: 
    Sun, 03/08/2020 - 06:58

    This dataset includes UWB range measurements performed with Pozyx devices. The measurements were collected between two tags placed at several distances and in two different conditions: with Line of Sight (LOS) and Non-Line of Sight (NLOS). The measurements include the range estimated by the Pozyx tag, the actual distance between devices, the timestamp of each measurement and the values corresponding to the samples of the Channel Impulse Response (CIR) after each transmission.

    153 views
  • Digital signal processing
  • Last Updated On: 
    Mon, 02/10/2020 - 05:36

    This data was used for the paper: J. Wang, P. Aubry, and A. Yarovoy, " Three-Dimensional Short-Range Imaging With Irregular MIMO Arrays Using NUFFT-Based Range Migration Algorithm", IEEE Transactions on Geoscience and Remote Sensing. It includes two synthetic electromagnetic datasets and one experimental measured data with multiple-input-multiple-output (MIMO) arrays.

    40 views
  • Digital signal processing
  • Last Updated On: 
    Fri, 01/10/2020 - 11:56

    Time-Scale Modification (TSM) is a well-researched field, however no effective objective measure of quality exists. This paper details the creation, subjective evaluation and analysis of a dataset, for use in the development of an objective measure of quality for TSM. Comprising two parts, the training component contains 88 source files processed using six TSM methods at 10 time-scales, while the testing component contains 20 source files processed using three additional methods at four time-scales.

    194 views
  • Machine Learning
  • Last Updated On: 
    Tue, 06/02/2020 - 01:08

    The target scene consists of a black card with six cocoa beans of three different fermentation levels (High, correct, and low fermentation), two beans for each class, whose false-color composite is shown in the provided Figure (a), ground-truth map is shown in Fig. (b), and Fig. (c) presents its representative spectral signatures. The spectral image was acquired by the AVT Stingray F-080B camera by acquiring one band each time from  350 - 950 nm. The acquired image has a spatial resolution of 1096x712 pixels and 300 spectral bands of 2 nm width.

     

    211 views
  • Image Processing
  • Last Updated On: 
    Thu, 01/02/2020 - 09:35

    The bearing dataset  is acquired by the electrical engineering laboratory of Case Western Reserve University and published on the Bearing Data Center Website. The gearbox dataset  is from IEEE PHM Challenge Competition in 2009

    527 views
  • Standards Research Data
  • Last Updated On: 
    Wed, 11/20/2019 - 03:31

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