Signal Processing

All data used for model evaluation and training are from the 16th Chinese National Graduate Mathematical Contest in Modeling (CNGMCM). The dataset is measured by HUAWEI TECHNOLOGIES CO., LTD, which includes engineering parameter data, map data and RSRP label data of multiple communities. And the dataset used in this letter is from the public dataset of CNGMCM, which is sponsored by the Ministry of Education's Degree and Graduate Education Development Center.

121 views
  • Signal Processing
  • Last Updated On: 
    Wed, 02/05/2020 - 11:59

    This dataset covers cellular communication signals in the SCF format. There is a total of 60000 signal instances, 36000 of them are reserved as training data and the rest is for the test. The SNR levels are between 1 dB and 15 dB.

    84 views
  • Machine Learning
  • Last Updated On: 
    Mon, 01/20/2020 - 15:16

    In the fifth generation (5G) wireless communication, high-speed railway (HSR) communication is one of the most challenging scenarios. By adopting massive multi-input multi-output (mMIMO) technology in HSR communication, the design of the underlying communication system becomes more challenging. Some new channel characteristics must be studied, such as non-stationarity in space, time and frequency domains. In this paper, two models are established for the two states of HSR at rest or in motion.

    39 views
  • Communications
  • Last Updated On: 
    Thu, 01/16/2020 - 10:03

    In the fifth generation (5G) wireless communication, high-speed railway (HSR) communication is one of the most challenging scenarios. By adopting massive multi-input multi-output (mMIMO) technology in HSR communication, the design of the underlying communication system becomes more challenging. Some new channel characteristics must be studied, such as non-stationarity in space, time and frequency domains. In this paper, two models are established for the two states of HSR at rest or in motion.

    18 views
  • Communications
  • Last Updated On: 
    Thu, 01/16/2020 - 09:50

    For more information please take a look at the corresponding paper (DOI: 10.1109/JBHI.2019.2963786)

    68 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Mon, 01/13/2020 - 08:15

    This dataset contains source and processed audio files designed primarily for use with Time-Scale Modification (TSM) research.  88 source files were processed at 10 different time-scale ratios by 6 different TSM algorithms resulting in training set of 5280 files.  Each file was then subjectively evaluated by a minimum of 7 participants providing opinion scores.  Mean Opinion Scores (MeanOS) and Median Opinion Scores (MedianOS) are provided for each file.  An additional 20 files were processed at 4 time-scale ratios by an additional 3 methods were also subjectively evaluated resulting in a t

    117 views
  • Machine Learning
  • Last Updated On: 
    Thu, 02/27/2020 - 10:07

    With the development of audio synthesis techniques, the most state-of-art synthesis methods based on  Generative Adversarial Network(GAN) have been proposed. Whether the automatic speaker verification (ASV) systems are vulnerability to the GAN based synthesized audios is urgently needed to be verified. We present a publicly available set of GAN based synthesized audios generated by some open source schemes (WaveGAN,TifGAN ,GANSynth), which allows researches to verify impact of the GAN-synthetic audio on security of ASV systems.

    92 views
  • Artificial Intelligence
  • Last Updated On: 
    Sun, 03/01/2020 - 21:43

    monitoring, processing and prediction data

    65 views
  • Machine Learning
  • Last Updated On: 
    Mon, 12/23/2019 - 20:42

    The experimental measurement setup is performed in an anechoic chamber to secure the LOS transmission at the Millimeter Wave and Terahertz Technologies Research Laboratories (MILTAL), Scientific and Technological Research Council of Turkey (TUBİTAK), Kocaeli. The dimensions of anechoic chamber are 7m × 4m × 3m. The dataset includes channel impulse response in between 240GHz and 300GHz for the transmitter-receiver distance of 20cm, 30cm, 40cm, 60cm, and 80cm.

    279 views
  • Signal Processing
  • Last Updated On: 
    Tue, 01/21/2020 - 14:54

    The development of electronic nose (e-nose) for a rapid, simple, and low-cost meat assessment system becomes the concern of researchers in recent years. Hence, we provide time-series datasets that were recorded from e-nose for beef quality monitoring experiment. This dataset is originated from 12 type of beef cuts including round (shank), top sirloin, tenderloin, flap meat (flank), striploin (shortloin), brisket, clod/chuck, skirt meat (plate), inside/outside, rib eye, shin, and fat.

    116 views
  • IoT
  • Last Updated On: 
    Fri, 12/06/2019 - 05:37

    Pages