Discrete-time signal processing

These uploaded video files show the results of distributed multi-vehicle SLAM in three cases:1, simulated scenario;2, UTIAS dataset;3, Victoria park dataset.

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  • Discrete-time signal processing
  • Last Updated On: 
    Wed, 02/19/2020 - 08:12

    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

    100 views
  • Machine Learning
  • Last Updated On: 
    Thu, 02/13/2020 - 01:07

    This dataset contains the actual sensor and calculated process variables in a winder station in a paper mill. Several Process variables change in time with the change of the rewind diameter. I provided the process data for two sets, in future I will add more data. Advanced time series forcasting techniques can be used to estimate many process variables considering the rewind diameter as the time axis.

    123 views
  • Machine Learning
  • Last Updated On: 
    Tue, 10/08/2019 - 06:23

    Urban flooding is a common problem across the world. In India, it leads to casualties every year, and financial loss to the tune of tens of billions of rupees. The damage done due to flooding can be mitigated if the locations deserving attention are known. This will enable an effective emergency response, and provide enough information for the construction of appropriate storm water drains to mitigate the effect of floods. In this work, a new technique to detect flooding level is introduced, which requires no additional equipment, and consequent installation and maintenance costs.

    66 views
  • Machine Learning
  • Last Updated On: 
    Mon, 01/06/2020 - 23:27

    Typically, a paper mill comprises three main stations: Paper machine, Winder station, and Wrapping station. The Paper machine produces paper with particular grammage in gsm (gram per square meter). The typical grammage classes in our paper mill are 48 gsm, 50 gsm, 58 gsm, 60 gsm, 68 gsm, 70 gsm. The Winder station takes a paper spool that is about 6 m width as it’s input and transfers is to customized paper rolls with particular diameter and width.

    136 views
  • Artificial Intelligence
  • Last Updated On: 
    Tue, 10/08/2019 - 06:26

    This dataset shows the amount of water used by a company in southern China from 2016 to 2017.

    154 views
  • Discrete-time signal processing
  • Last Updated On: 
    Sun, 09/29/2019 - 00:13

    S&P 500 index of monthly data of bull/bear markets

    234 views
  • Nonlinear signal processing
  • Last Updated On: 
    Mon, 08/19/2019 - 04:52

    The dataset has 150 three-second sampling motor current signals from each synthetically-prepared motors. There are five motors with respective fault condition - bearing axis deviation (F1), stator coil inter-turn short circuit (F2), rotor broken strip (F3), outer bearing ring damage (F4), and healthy (H). The motors are run under five coupling loads - 0, 25, 50, 75, and 100%. The sampling signals are collected and processed into frequency occurrence plots (FOPs). Each image has a label, for example F2_L50_130, where F2 is the fault condition, L50 is the coupling load condition.

    239 views
  • Sensors
  • Last Updated On: 
    Fri, 05/24/2019 - 22:27

    A VOR receiver based on Software-Defined Radio is presented. Experiments showed that the system indicated the radials of the VOR station of São José dos Campos with an average error rate of less than 1% and a standard deviation of less than 2.14% in relation to those calculated cartographically. The results suggest that low volume and weight SDR-based VOR receivers can be developed with processing on microcontrollers or FPGAs to equip drones that need to operate in aerodrome environments.

     

    447 views
  • Signal Processing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    Audio dataset for Household Multimodal Environment (HoME). It is a collection of audio samples from the Freesound.org collaborative database of Creative Commons Licensed sounds.

    197 views
  • Discrete-time signal processing
  • Last Updated On: 
    Tue, 08/07/2018 - 11:57

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