Digital signal processing

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

    The dataset stores a random sampling distribution with cardinality of support of 4,294,967,296 (i.e., two raised to the power of thirty-two). Specifically, the source generator is fixed as a symmetric-key cryptographic function with 64-bit input and 32-bit output. A total of 17,179,869,184 (i.e., two raised to the power of thirty-four) randomly chosen inputs are used to produce the sampling distribution as the dataset. The integer-valued sampling distribution is formatted as 4,294,967,296 (i.e., two raised to the power of thirty-two) entries, and each entry occupies one byte in storage.

  • Digital signal processing
  • Last Updated On: 
    Sat, 06/16/2018 - 23:18

    HazeRD is an outdoor scene dataset for benchmarking dehazing algorithms. HazeRD contains 10 different scenes based on the architectural biometrics project. For each scene, the ground RGB images, depth maps, and synthesized hazy images following the atmospheric optics are provided; the hazy images come with five different haze level using real life physical parameters. The main features of HazeRD to other dehazing datasets are: HazeRD focuses on outdoor scenes whereas other datasets provide indoor scenes; and, the synthesis is based on real life parameters. 

  • Digital signal processing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Yanfu Zhang, Li Ding, Gaurav Sharma

    The dataset contains depth frames collected using Microsoft Kinect v1 in top-view configuration and can be used for fall detection.

  • Biomedical and Health Sciences
  • Last Updated On: 
    Tue, 09/17/2019 - 11:12
    Citation Author(s): 
    Enea Cippitelli, Ennio Gambi, Samuele Gasparrini, Susanna Spinsante

    The Million Song Dataset is a freely-available collection of audio features and metadata for a million contemporary popular music tracks. Its purposes are:

    • To encourage research on algorithms that scale to commercial sizes
    • To provide a reference dataset for evaluating research
    • As a shortcut alternative to creating a large dataset with APIs (e.g. The Echo Nest's)
    • To help new researchers get started in the MIR field

     

  • Digital signal processing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Thierry Bertin-Mahieux, Daniel P.W. Ellis, Brian Whitman, and Paul Lamere

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