*.mat

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.

  • Digital signal processing
  • Last Updated On: 
    Tue, 04/16/2019 - 01:51

    This data-set was used for the localization of an emitter based on Time Difference of Arrival (TDoA). 

    The classical least-squares (LS) algorithm, with a limited number of TDoA measurements, has been utilized for obtaining a closed-form solution to the source localization problem. 

    An extension of the classical LS algorithm has been employed in an attempt to improve the precision of the localization technique by using a larger set of TDoA estimates.

  • Other
  • Last Updated On: 
    Fri, 04/05/2019 - 13:42

    This dataset contains post-processed Pattern Reversal Visual Evoked Potential (PR-VEP) signals from 20 subjects, 12 males and 8 females between 24-28 years old. These signals are acquired with two different kinds of instruments: a new prototype based on Smart Glasses and a commercial device for PR-VEP.

    For a detailed description of this dataset see accompanying publication "Pattern-Reversal Visual Evoked Potential on Smart Glasses" by Terracciano R., et al. IEEE Journal of Biomedical and Health Informatics 2019, 10.1109/JBHI.2019.2899774.

  • Biophysiological Signals
  • Last Updated On: 
    Thu, 03/14/2019 - 06:38

     

    This paper presents a novel method to estimate systolic blood pressure (SBP) and diastolic blood pressure (DBP)

    from time domain features extracted from oscillometric waveforms (OWs) using a long short term memory (LSTM) recurrent

    neural network (RNN). The proposed LSTM-RNN is a powerful technique that can effectively discover the latent structure in

    OW sequences and automatically learn such structures. The SBP and DBP points are then detected as the cuff pressures

  • Biomedical and Health Sciences
  • Last Updated On: 
    Thu, 01/10/2019 - 01:08

    The bounding boxes of "Robust Visual Tracking Based on Adaptive Extraction and Enhancement of Correlation Filter" tracker on the whole OTB-2015 dataset.

  • Other
  • Last Updated On: 
    Wed, 12/12/2018 - 09:58

    The Xuzhou dataset was collected by an airborne HYSPEX hyperspectral camera over the Xuzhou peri-urban site in November 2014. This dataset consists of 500 × 260 pixels, with a very high spatial resolution of 0.73 m/pixel. The number of spectral bands used in the experiment was 436, after removing the noisy bands ranging from 415 nm to 2508 nm. The scene is peri-urban and is characterized by nine categories, including crops, vegetation, man-made structures, and coal fields. The pseudocolor composite image and the labeled categories are shown in Fig. 6.

  • Remote Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Xue Wang

    This data is very useful for reseacher. The chest displacement of human was measured remotely in three categories, high, low and normal breathing rates. 

  • Sensors
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Nguyen Thi Phuoc Van