Signal Processing

The dataset is an extensive collection of labeled high-frequency Wi-Fi Radio Signal Strength (RSS) measurements corresponding to multiple hand gestures made near a smartphone under different spatial and data traffic scenarios. We open source the software code and an Android app (Winiff) to create this dataset, which is available at Github (https://github.com/mohaseeb/wisture). The dataset is created using an artificial traffic induction (between the phone and the access point) approach to enable useful and meaningful RSS value

  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Mohamed Haseeb, Ramviyas Parasuraman

    This is the Smulation Data for Power System State Estimation.

  • Power and Energy
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Yang Yu, Zhongjie Wang, Chengchao Lu

    This is the source code (MATLAB) of the LTSPE feature.

     

  • Signal Processing
  • Last Updated On: 
    Sat, 06/16/2018 - 23:16

    This is the source code (MATLAB) of the LTMBMCR feature.

     

  • Signal Processing
  • Last Updated On: 
    Sat, 06/16/2018 - 23:19

    Recognition of human activities is one of the most promising research areas in artificial intelligence. This has come along with the technological advancement in sensing technologies as well as the high demand for applications that are mobile, context-aware, and real-time. We have used a smart watch (Apple iWatch) to collect sensory data for 14 ADL activities (Activities of Daily Living). 

  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Walid Gomaa, Reda Elbasiony

    This is the data competion hosted by the IEEE Machine Learning for Signal Processing (MLSP) Technical Committee as part of the 27th IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2017), Tokyo, Japan. This year the competion is based on a dataset kindly provided Petroleum Geo-Systems (PGS), on source separation for seismic data acquistion. 

  • Sensors
  • Geo-Sensing
  • Signal Processing
  • Last Updated On: 
    Tue, 05/01/2018 - 15:07
    Citation Author(s): 
    IEEE MLSP Technical Committee

    The aim of the database consists of providing the researchers with a collection of power quality real-life impulsive events to test experiments and measurement instruments. The dataset provides signals recordings from the power network of the University of Cádiz during the last five years (electrical network according to the UNE-EN-50160: 2011).

    The dataset offers a diversity of real impulsive events, which are specifically acquired in order to test Power Quality Instruments according to the UNE-IEC 61000-4-11: 2005.

  • Power and Energy
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Olivia Florencias-Oliveros, M. J. Espinosa-Gavira, J. J. González-de-la-Rosa, A. Agüera-Pérez, J. C. P. Salas, J. M. Sierra-Fernández

    Costas arrays are permutation matrices that meet the added Costas condition that, when used as a frequency-hop scheme, allow at most one time-and-frequency-offset signal bin to overlap another.  Databases to various orders have been available for many years.  Here we have a database that is far more extensive than any available before it.  A very powerful and easy-to-use Windows utility with a GUI accompanies the database.

  • Smart Grid
  • Last Updated On: 
    Sun, 03/10/2019 - 23:18

    This data consists of 1000 studio-quality audios and their transcription for Vietnamese northern accent. 
    Each utterance has a length of 14-18 words and is spoken by a single speaker.
    The corpus can be used to create a Vietnamese speech synthesis system. A tutorial also available at https://vais.vn/vi/tai-ve/hts_for_vietnamese.

  • Signal Processing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Quoc Truong Do, Chi Mai Luong

    A new methodology to measure coded image/video quality using the just-noticeable-difference (JND) idea was proposed in [1].  Several small JND-based image/video quality datasets were released by the Media Communications Lab at the University of Southern California in [2, 3]. In this work, we present an effort to build a large-scale JND-based coded video quality dataset. The dataset consists of 220 5-second sequences in four resolutions (i.e., 1920x1080, 1280x720, 960x540, and 640x 360).

  • Signal Processing
  • Last Updated On: 
    Tue, 11/13/2018 - 13:48
    Citation Author(s): 
    Haiqiang Wang, Ioannis Katsavounidis, Xin Zhou, Jiwu Huang, Man-On Pun, Xin Jin, Ronggang Wang, Xu Wang, Yun Zhang, Jeonghoon Park, Jiantong Zhou, Shawmin Lei, Sam Kwong, and C.-C. Jay Kuo

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